Corporate governance

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: Alibaba_Group, Corporate governance: Alibaba's main co-founder Jack Ma served as the executive chairman of the Alibaba Group from its founding until 10 September 2019. Daniel Zhang succeeded Ma and has also served as Alibaba's CEO since 2015.J. Michael Evanshas served as Alibaba's president since 2015.Jack Ma had stepped down as CEO in 2013 and choseJonathan Luas his successor.The Alibaba Group under Lu was performing well, though there were rumors that Ma was growing distrustful in Lu's ability to lead the company.Daniel Zhang, who served as COO of Alibaba under Lu, succeeded Lu as CEO in 2015.On 10 September 2018, Ma chose Zhang to succeed him as executive chairman of the Alibaba Group after his stepping down announcement, and this would go into effect in 1 year on 10 September 2019. Since 2012, whenXi Jinpingsucceeded theCCP general secretary, theChinese Communist Party(CCP) has had aCCP Committee secretaryin place in the company and has over 2,000 party members as Alibaba employees.In September 2019, the municipal government of Hangzhou announced that it was assigning government officials to work with tech companies and manufacturers in Zhejiang province, including Alibaba, in what city officials stated was an effort "to facilitate communication and expedite projects". After theRussian invasion of Ukraine, Alibaba faced criticism for continuing to do business in Russia.In August 2023, Ukraine'sNational Agency on Corruption Preventiondesignated the company an 'international sponsor of war' owing to it providing a platform for the sale of copper goods sourced from the occupied territories of Ukraine. Alibaba Group Holding Ltd has announcedJoseph Tsaias the new chairman andEddie Wuas the CEO. This move comes as the company seeks to revive growth in the post-crackdown era, with Tsai providing strategic direction and Wu driving operational excellence.

Alibaba_Group

P169 - chief executive officer: highest-ranking corporate officer appointed as the CEO within an organization

Q8038927 - Wu Kuang-yu: Chinese martial artist

Alibaba_Group

Q33134685 - Daniel Zhang: Chinese businessman

Q130883762 - Daniel Zhang-Li: computer scientist

Alibaba_Group

Q6273750 - Jonathan Lunine: planetary scientist

Q16907788 - Jonathan Lu: Chinese businessman

Q102454908 - Jonathan Lutz: Ph.D. Arizona State University 2013

Q102435443 - Jonathan Luk: Ph.D. Princeton University 2012

Alibaba_Group

Q78160387 - Jack MacGregor: badminton player

Q104762041 - Jack Mahoney: American lyricist (1882-1945)

Q16439357 - Jack Martin Händler: (1947-2023) conductor, violinist

Q105762189 - Jack Mahoney: Australian zoologist

Alibaba_Group

Alibaba_Group

Alibaba_Group

Q484847 - e-commerce: type of business industry usually conducted over the Internet

Q59355769 - E-Commerce: 2018 book chapter by Meira et al

Q351764 - e-commerce payment system: method of payment used in electronic commerce

Q4382945 - online shop: Internet-based retailer

Q60726580 - E-Commerce: 2012 encyclopedia article by Steinfield

Alibaba_Group

Q483639 - cloud computing: form of Internet-based computing, whereby shared resources, software and information are provided to computers and other devices

Q105696560 - Cloud Computing: conference series

Q30608984 - Cloud Computing: Thoroughbred race horse

Q370563 - cloud security: broad set of policies, technologies, applications, and controls utilized to protect virtualized IP, data, applications, services, and the associated infrastructure of cloud computing

Alibaba_Group

Q858810 - big data: information assets characterized by such a high volume, velocity, and variety to require specific technology and analytical methods for its transformation into value

Q15931213 - Big Data: American electronic music project

Alibaba_Group

Q251212 - Internet of things: Internet-like structure connecting everyday physical objects

Q96708225 - Internet of Things: scientific journal published by Elsevier B.V.

Q96325266 - Internet of Things: scientific journal published by Springer

Q110262629 - Internet of Things: Stack Exchange site for builders and users of networked sensors and control devices in the contexts of smart homes, industry automation, or environmental sensors

Q117714731 - Internet of things: US patent 11431561

Alibaba_Group

Q11660 - artificial intelligence: field of computer science that develops and studies software enabling machines to exhibit intelligent behavior

Q4801030 - Artificial Intelligence: journal published by Elsevier

Q221113 - A.I. Artificial Intelligence: 2001 film directed by Steven Spielberg

Q128447 - Artificial Intelligence: 1985 studio album by John Cale

Q15751143 - Artificial Intelligence in Medicine: journal

Alibaba_Group

Q202255 - digital television: transmission of audio and video by digitally processed and multiplexed signal

Q55659823 - Digital Television Russia: Russian media holding in the pay-TV market

Q2330048 - digital television transition: global switchover to digital television

Q15995030 - digital television adapter: type of television  tuner

Q5276186 - digital terrestrial television in the Philippines: overview of digital terrestrial television in the Philippines

Alibaba_Group

Q116634 - online game: video game played over the Internet

Q60315954 - Online Games-Datenbank: video game database

Q110556300 - D.I.C.E. Award for Online Game of the Year: video game award

Q3137531 - history of online games: aspect of history

Q60993488 - Online Game Ethics Committee: Chinese Communist Party body

Alibaba_Group

Q620615 - mobile app: software application designed to run on mobile devices

Q2988038 - mobile application development: process to build apps for various mobile operating systems

Q4863657 - Mobile Application Part: SS7 protocol

Q6887050 - mobile application management: management of mobile app in business

Alibaba_Group

Q9143 - programming language: language for communicating instructions to a machine

Q4117406 - implementation of a programming language: software package for processing and executing computer programs in some language

Q510878 - language binding: software library that adapts a particular library for use in a different programming language from what it is written in

Q1152399 - syntax: set of rules defining the structure of a programming language

Q1437428 - programming language semantics: the field concerned with the rigorous mathematical study of the meaning of programming languages

Alibaba_Group

Q11424 - film: sequence of images that give the impression of movement, stored on film stock

Q1137203 - thin film: a layer of material ranging from fractions of a nanometer to several micrometers in thickness

Q2526255 - film director: person who controls the artistic and dramatic aspects of a film production

Q41253 - movie theater: venue, usually a building, for viewing films

Q93204 - documentary film: nonfictional motion picture

Alibaba_Group

Q14005 - MusicBrainz: online music metadata database

Q639669 - musician: person who composes, conducts or performs music

Q482994 - album: grouping of album releases by an artist usually released at the same time with the same title and tracks but in different formats for consumption (digital, CD, LP)

Alibaba_Group

Q217199 - soundtrack: musical concept; recorded music accompanying a production such as a film

Q4176708 - soundtrack album: music recorded directly from the soundtrack of a piece of media

Q1415090 - film score composer: musical profession

Q7564979 - Soundtrack: 1990 studio album by Fullerton College Jazz Band

Alibaba_Group

Q6881511 - enterprise: organizational unit producing goods or services, which benefits from a certain degree of autonomy in decision-making, especially for the allocation of its current resources

Q783794 - company: legal entity representing an association of people, whether natural, legal or a mixture of both, with a specific objective

Q102538 - company: military unit size designation

Q1162163 - director: person who leads a particular area of a company or organization

Alibaba_Group

Q50602 - Manchester City F.C.: association football club in Manchester, England

Q90 - Paris: capital city and largest city of France

Q19444 - Birmingham City F.C.: association football club in Birmingham, England

Q18736 - Stoke City F.C.: association football club in Stoke-on-Trent, England

Alibaba_Group

Q83440 - country music: genre of American popular music

Q6256 - country: distinct territorial body or political entity

Q3624078 - sovereign state: state that has the highest authority over a territory

Q902 - Bangladesh: country in South Asia

Q175185 - rural area: geographic area that is located outside towns and cities

Alibaba_Group

Q315 - language: structured system of communication

Q34770 - language: particular system of communication, often named for the region or peoples that use it

Q75488338 - Language: controlled vocabulary that list language names of the European Union

Q60317586 - Language: ESRB video game content descriptor for games that contains some use of profanity.

Alibaba_Group

Q18204 - class: in education, a group of students taking the same course, or at the same level in an institution

Q37517 - class: taxonomic rank in biology

Q37041 - Classical Chinese: language of the Sino-Tibetan language family in written form (ISO 639-3: lzh) as opposed to the spoken, known as Old Chinese (ISO 639-3: och) or Middle Chinese (ISO 639-3: ltc)

Q811704 - rolling stock class: part of railroad rolling stock classification system

Alibaba_Group

Q828322 - platform game: video game where the core objective is to move the player character between points in an environment

Q241317 - computing platform: environment in which a piece of software is executed

Q156868 - Civic Platform: political party in Poland

Q64896574 - platform: fixed structure to allow people to board public transportation (buses, trains, airplanes etc)

Q177749 - sidewalk: footpath along the side of a road or a street

Alibaba_Group

Q860792 - frame: decorative edging for a picture, such as a painting or photograph

Q271680 - software framework: type of library that helps structure other software

Q6671777 - structure: arrangement and organization of interrelated elements in an object or system, or the object or system so organized

Q11908691 - artificial physical structure: human-made system of connected force-bearing elements

Alibaba_Group

Q7406919 - service: economic product that directly satisfies wants without producing a lasting asset

Q15265344 - broadcaster: organization responsible for production and transmission of radio and television programs

Q2366457 - department: office within an organization

Q172331 - liturgy: customary public worship performed by a religious group

Q44127 - server: computer program or device that provides access to a central resource or other functionality for clients

Alibaba_Group

Q32635 - domain name: identification string that defines a realm of administrative autonomy, authority or control within the Internet

Q1073015 - domain name registrar: organization or commercial entity that manages the reservation of Internet domain names

Q47455571 - RFC 1035: Domain names - implementation and specification: request for comments publication

Q41494 - name server: system for converting computers’ names to their numeric addresses

Q47458939 - RFC 1034: Domain names - concepts and facilities: request for comments publication

Alibaba_Group

Q131569 - treaty: express agreement between nations under international law

Q132364 - communication protocol: system for exchanging messages between computing systems

Q15836568 - computer network protocol: communications protocol used by data networks

Q1254335 - cryptographic protocol: protocol that performs a security-related function

Q3847997 - protocol: additional or amending agreement to a convention concluded between nations

Alibaba_Group

Q2221906 - geographic location: point, line or area on or near Earth

Q202142 - locative case: grammatical case which indicates a location

Q98929991 - place: small area known by a geographical name

Q17334923 - physical location: property describing the position of something in space

Alibaba_Group

Q41710 - ethnic group: socially defined category of people who identify with each other

Q5404323 - ethnicity: a person's ethnic background

Q106474968 - ethnic group by settlement in Macedonia: census category

Q83828 - ethnic groups in Indonesia: overview of ethnic groups in Indonesia

Q2531956 - ethnic minority group: ethnic group, minority within a state, especially a single ethnic group within a polyethnic state

Alibaba_Group

Q7275 - state: organised community living under a system of government; either a sovereign state, constituent state, or federated state

Q17 - Japan: island country in East Asia

Q671384 - Statens Museum for Kunst: art museum in Copenhagen, Denmark

Alibaba_Group

Q47461344 - written work: any work expressed in writing, such as inscriptions, manuscripts, documents or maps

Q8038566 - Written works of L. Ron Hubbard: Wikimedia list article

Q136209058 - Written Work: Langland, Labor, and Authorship: book 1997

Q47788698 - Written work: the social functions of Research Ethics Committee letters: scientific article published on 8 May 2007

Q129690019 - Written works in the methodology of teaching general sociology in university practice (using works of BMSTU students as an example): scholarly article published in April 2018

Alibaba_Group

Q188451 - music genre: category that identifies pieces of music as belonging to a shared tradition or set of conventions

Q483394 - genre: category of creative works based on stylistic, thematic or technical criteria

Q214127 - genre painting: paintings of scenes or events from everyday life

Q1047337 - genre art: art genre that depicts scenes from everyday life

Alibaba_Group

Q5 - human: any single member of Homo sapiens, unique extant species of the genus Homo

Q215627 - person: being that has certain capacities or attributes constituting personhood (for humans, use Q5 [human] with P31 [instance of])

Alibaba_Group

Q3918 - university: academic institution for further education

Q34433 - University of Oxford: collegiate research university in Oxford, England (Est. 1096)

Q219563 - University of Washington: public research university in Seattle, Washington, United States

Q35794 - University of Cambridge: collegiate public research university in Cambridge, England, United Kingdom

Q503424 - University of Leeds: university in Leeds, United Kingdom

Alibaba_Group

Q43229 - organization: social entity established to meet needs or pursue goals

Q2029841 - organization: concept in economics: activity in which something is accomplished

Q4479442 - founder: person who creates an institution intended to perpetuate itself after the founder's association ends

Q15642541 - human-geographic territorial entity: territorial entity of which the borders are determined by physiographic and human features

Alibaba_Group

Q21503252 - instance of: relation of type constraints

Q3025883 - type 2 diabetes: type of diabetes mellitus with high blood sugar and insulin resistance

Q16889133 - class: collection of items defined by common characteristics

Q124407 - type-1 diabetes: autoimmune disease, a form of diabetes mellitus that occurs when insulin-producing cells are destroyed by the immune system

Alibaba_Group

Q8148 - industrial sector: economic sector characterized by large scale automated manufacturing as in industrialization

Q979263 - Industry: city in Austin County, Texas, United States

Q268592 - industry: group of firms that produce a closely related set of raw materials, goods, or services

Q3958441 - economic sector: conceptual grouping of economic activities

Alibaba_Group

Q12737077 - occupation: label applied to a person based on an activity they participate in

Q192581 - job activity: activity done by a person to earn money

Q63188808 - Orthodox Bishop: lifelong occupation which serves a purpose within the context of the Catholic Church

Q188686 - military occupation: effective provisional control of a certain power over a territory

Q11773926 - ecclesiastical occupation: None

Alibaba_Group

Q12819564 - station: intermediate stopping places along transportation routes

Q27996466 - Bahnhof (station): type of train station in Germany according to Eisenbahn-Bau- und Betriebsordnung

Q25271 - International Space Station: modular space station in low Earth orbit

Q22808404 - station located on surface: type of station

Q22808403 - underground station: type of station

Alibaba_Group

Q483501 - artist: person who engages in any form of artistic creation or practice

Q3391743 - visual artist: artist involved with the visual arts

Q713200 - performing artist: artist who participates in performing arts in front of an audience: actors, comedians, dancers, magicians, circus artists, musicians, singers

Q4233718 - anonymous: unknown creator of a work (do not use as value of P50; use "unknown value" instead)

Alibaba_Group

Alibaba_Group

Alibaba_Group

Q25252626 - Zhang Yiming: Chinese Go player

Q115793323 - Zhang Yiming: Founder and Chief Executive Officer, ByteDance, Cayman Islands

Alibaba_Group

Q113456422 - John Chen: emeritus professor of chemical and materials engineering in New Zealand

Q115591577 - John Chen: Vice Chairman, CEO, Gloria Hotel Group

Alibaba_Group

Q160120 - Huawei: Chinese multinational technology company

Q95611555 - Huawei AppGallery: app store operated by Huawei

Q125028580 - Huawei: brand of phones and other electronics

Q28407151 - Huawei Mate: mobile phone series by Huawei

Q56368140 - Huawei P20 Pro: smartphone model

Alibaba_Group

Q6830156 - J. Michael Evans: Canadian rower and business executive (born 1957)

Alibaba_Group

Q3503829 - Sundar Pichai: Indian-American business executive, CEO of Google LLC & Alphabet Inc.

Q109501218 - The Vergecast - Sundar Pichai on managing Google through the pandemic: episode of the Vergecast

Q134721156 - Sundar Pichai: CEO of Google and Alphabet | Lex Fridman Podcast #471: None

Alibaba_Group

Q92764 - Sergey Brin: American billionaire businessman (born 1973)

Q39166646 - Sergey Brin: Wikimedia disambiguation page

Q22989035 - Sergey Brin: Why Google Glass?: TED2013

Q22992624 - Sergey Brin + Larry Page: The genesis of Google: TED2004

Q17944398 - Sergey Brin revela que podría sufrir una predisposición a sufrir del mal de Parkinson: Wikinews article

Alibaba_Group

Q36215 - Mark Zuckerberg: American Internet entrepreneur

Q115785690 - Mark Zuckerberg: Australian mathematician

Q62397788 - Mark Zuckerberg: painting by Sami Lukkarinen

Q17712964 - Mark Zuckerberg named 2010 Time Person of the Year: Wikinews article

Alibaba_Group

Q5284 - Bill Gates: American businessman, investor, and philanthropist (born 1955)

Q684014 - Bill Gates Sr.: American attorney and philanthropist (1925–2020)

Q1181671 - Bill Gates: Wikimedia disambiguation page

Q123411797 - Bill Gates: English footballer (1944–2023)

Q100794547 - Bill Gates: college basketball player (1959–1959) Boston University

Alibaba_Group

Q14086 - Marissa Mayer: American business executive and engineer, former CEO of Yahoo!

Q108918579 - Marissa Mayer: an analysis of media reaction to a pregnant CEO: chapter published in 2016

Alibaba_Group

Q92747 - Eric Schmidt: software engineer, businessman, former Google CEO

Q58620345 - Eric M Schmidt: researcher ORCID ID = 0000-0002-9181-6771

Q30111617 - Eric Schmidt: cinematographer

Alibaba_Group

Q78160387 - Jack MacGregor: badminton player

Q104762041 - Jack Mahoney: American lyricist (1882-1945)

Q16439357 - Jack Martin Händler: (1947-2023) conductor, violinist

Q105762189 - Jack Mahoney: Australian zoologist

Alibaba_Group

Q33134685 - Daniel Zhang: Chinese businessman

Q130883762 - Daniel Zhang-Li: computer scientist

Alibaba_Group

Q6273750 - Jonathan Lunine: planetary scientist

Q16907788 - Jonathan Lu: Chinese businessman

Q102454908 - Jonathan Lutz: Ph.D. Arizona State University 2013

Q102435443 - Jonathan Luk: Ph.D. Princeton University 2012

Alibaba_Group

Q8038927 - Wu Kuang-yu: Chinese martial artist

Alibaba_Group

Q3818278 - Wen Zhong: Investiture of the Gods character

Q45514527 - Zhong Wen: Ming dynasty person CBDB = 220846

Q45456302 - Zhong Wen: Ming dynasty person CBDB = 262007

Q45496322 - Zhong Wen: Ming dynasty person CBDB = 326446

Alibaba_Group

Q197311 - Zhang Yang: Chinese film director, screenwriter and actor

Q27826 - Zhang Yang: Chinese general of the People's Liberation Army (1951-2017)

Alibaba_Group

Q11134628 - Jiang Yong: Qing dynasty person CBDB = 33184

Q45443526 - Jiang Yong: Ming dynasty person CBDB = 229886

Q45499946 - Jiang Yong: Ming dynasty person CBDB = 252417

Q45672124 - Jiang Yong: Tang dynasty person CBDB = 166060

Q45450574 - Jiang Yong: Ming dynasty person CBDB=256575

Alibaba_Group

Q104150031 - Li Xiang: Chinese architect

Q106604151 - Li Xiang: Chinese footballer born 1991

Alibaba_Group

Q60020591 - Zhang Yu: actor from China (1982- )

Q11068798 - Zhang Yu: Ming dynasty general

Q11068970 - Zhang Yu: Ming dynasty person CBDB = 34386

Alibaba_Group

Q470244 - Zhang Jingchu: Chinese actress

Q10455271 - Zhang Jing: Chinese politician during the Song dynasty

Q45689181 - Zhang Jing: Ming dynasty person CBDB = 202407

Q45624556 - Zhang Jing: Tang dynasty person CBDB = 143456

Q45658889 - Cai Jing: Ming dynasty person CBDB = 132600

Alibaba_Group

Q20882 - Gustave Eiffel: French chemical engineer and architect (1832–1923)

Q2928782 - Gustave Eiffel: bust by Antoine Bourdelle

Q65153823 - Gustave Eiffel University: French university specialising in the study of cities and urbanisation processes in Marne-la-Vallée, Paris and also Versailles

Q106475965 - Gustave Eiffel: Vanity Fair caricature of M AG Eiffel by GUTH

Q19462123 - Gustave Eiffel French School of Budapest: French international school in Hungary

Alibaba_Group

Q739000 - Geely: Chinese automotive manufacturing company

Q55118127 - Geely Auto: automobile manufacturer (subsidiary of Geely Holdings)

Q133266049 - Geely Galaxy Xingyao 8: plug-in hybrid mid-size sedan

Alibaba_Group

Q6720872 - Ma Yunfeng: Chinese speed skater

Q128613841 - Ma Yunfeng: Wuhan University of Science and Technology. School of Management

Alibaba_Group

Q1359568 - Alibaba Group: Chinese multinational technology company

Q18109541 - Alibaba: 1940 film by Mehboob Khan

Q27634641 - Alíbaba a čtyřicet lupičů — Doktor Vševěda — Princ Vlastislav: 1899 Czech book edition

Alibaba_Group

Q4970 - Hangzhou: capital of Zhejiang Province, China

Q11523764 - Hang Prefecture: historical administrative division in Zhejiang, China

Q112246115 - Hangzhou: fictional location in Water Margin

Q113700534 - Hangzhou: fictional city in Jin Ping Mei

Q2419742 - Hangzhou Metro: metro system in Hangzhou, China

Alibaba_Group

Q212 - Ukraine: country in Eastern Europe

Q110999040 - Russian invasion of Ukraine: ongoing military conflict in Eastern Europe since 2022

Q170403 - Ukraine men's national football team: men's national association football team representing Ukraine

Q2296961 - Ukraina Stadium: multi-purpose stadium in Lviv, Ukraine

Q4220180 - Kievskaia starina: ethographic and literary chronicle

Alibaba_Group

Q159 - Russia: country in Eastern Europe and Northern Asia

Q186473 - Federation Council: upper house of the Federal Assembly of Russia

Q4146631 - State Prize of the Russian Federation: award in Russia (prize in science and technology, in literature and the arts, in humanitarian activities)

Q211167 - Russian Federation Presidential Certificate of Honour: honorary award bestowed by the President of Russia

Q4397930 - Russian Federation: series of coins

Alibaba_Group

Q15031 - Xi Jinping: General Secretary of the Chinese Communist Party and paramount leader of China since 2012

Q22828780 - Xi Jinping: dictator of China

Q52161605 - Xi Jinping's general secretaryship: Chinese authority headed by Communist Party General Secretary Xi Jinping

Q38247759 - Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era: a political theory attributed to Xi Jinping, the General Secretary of the Chinese Communist Party

Q10874521 - Chinese Dream: Chinese ideology associated with China's dictator Xi Jinping

Alibaba_Group

Q11102511 - Hangzhou Red Cross Hospital: hospital in China

Q135954876 - Zhejiang Provincial Administration for Market Regulation: None

Q11148592 - Zhejiang University Medical College Affiliated Stomatological Hospital: hospital in China

Q133812436 - Zhejiang Province Airport Group: None

Alibaba_Group

Q1359568 - Alibaba Group: Chinese multinational technology company

Q30273327 - Alibaba Group (United States): company in San Mateo, United States

Q33134100 - Alibaba Group Holding Limited 2017 Form 20-F: form 20-F

Q129267197 - Alibaba Group’s Business Strategy Impact Research: scholarly article

Q125723892 - ALIBABA GROUP: RIVALS AT THE GATE?: scientific article published in 2020

Alibaba_Group

Q30659958 - Ant groups optimally amplify the effect of transiently informed individuals: scientific article

Alibaba_Group

Q2117484 - Taobao: Chinese website for online shopping

Q2829108 - Tmall: Chinese-language website for business-to-consumer online retail

Q76317042 - Taobao 2016 data breach: Hacked

Q123592341 - Taobao village: pattern of e-commerce in rural Chinese villages

Alibaba_Group

Q43800566 - Tmall Genie: smart speaker from the Alibaba Group

Q120081421 - TMALL Online Shopping Site Liability Risk Analysis and Insurance Plan Design: scholarly article in Insurance Studies, no. 12, 2014

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Ownership

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: Alibaba_Group, Ownership: Around 44% of Alibaba shares are held by the general public and around 40% are held by institutions. Around 14% are held by SoftBank Group. The largest shareholders in early 2024 were:

[
    "Q1359568 - Alibaba Group: Chinese multinational technology company",
    "Q30273327 - Alibaba Group (United States): company in San Mateo, United States",
    "Q33134100 - Alibaba Group Holding Limited 2017 Form 20-F: form 20-F",
    "Q129267197 - Alibaba Group’s Business Strategy Impact Research: scholarly article",
    "Q125723892 - ALIBABA GROUP: RIVALS AT THE GATE?: scientific article published in 2020"
]

[
    "Q201653 - SoftBank Group: Japanese company",
    "Q30924785 - SoftBank Group Japan GK: None",
    "Q24868433 - SoftBank Group Japan GK: None",
    "Q133262861 - Softbank Group Capital Europe: UK holding company"
]

[
    "Q1359568 - Alibaba Group: Chinese multinational technology company",
    "Q30273327 - Alibaba Group (United States): company in San Mateo, United States",
    "Q33134100 - Alibaba Group Holding Limited 2017 Form 20-F: form 20-F",
    "Q129267197 - Alibaba Group’s Business Strategy Impact Research: scholarly article",
    "Q125723892 - ALIBABA GROUP: RIVALS AT THE GATE?: scientific article published in 2020"
]

[
    "Q69307032 - January 1, 2024: date in Gregorian calendar"
]


Ownership

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: Alibaba_Group, Ownership: Around 44% of Alibaba shares are held by the general public and around 40% are held by institutions. Around 14% are held by SoftBank Group. The largest shareholders in early 2024 were:

Alibaba_Group

Q1359568 - Alibaba Group: Chinese multinational technology company

Q30273327 - Alibaba Group (United States): company in San Mateo, United States

Q33134100 - Alibaba Group Holding Limited 2017 Form 20-F: form 20-F

Q129267197 - Alibaba Group’s Business Strategy Impact Research: scholarly article

Q125723892 - ALIBABA GROUP: RIVALS AT THE GATE?: scientific article published in 2020

P1830 - owner of: entities owned by the subject

P2137 - total equity: amount of equity value for an entity

Q201653 - SoftBank Group: Japanese company

Q30924785 - SoftBank Group Japan GK: None

Q24868433 - SoftBank Group Japan GK: None

Q133262861 - Softbank Group Capital Europe: UK holding company

Alibaba_Group

Q1665188 - institutional investor: investors who invest professionally and as their main occupation in the stock market

Q11095058 - Institutional Investor: monthly magazine founded in 1967

Q79381677 - Institutional Investors Group on Climate Change: organization

Q110720028 - Institutional Investors: Arbitrageurs or Rational Trend Chasers: doctoral thesis by Yeqin Zeng, University of Washington, 2013

Q110719872 - Institutional Investor Myopia, Ownership, Earnings, and Returns: doctoral thesis by Michael Joseph Eames, University of Washington, 1995

Output: None of the candidates

Output: None of the candidates


Social responsibility

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: Alibaba_Group, Social responsibility: In 2014, the Chinese government and Alibaba partnered to create the rural e-commerce expansion program Rural Taobao, which aimed to provide rural households with the same level of access to consumer goods that urban residents have and to facilitate the sale of agricultural goods through e-commerce.: 129As of 2017, the program covered 16,500 villages.: 130 Beginning in March 2016, Alibaba and theCommunist Youth Leaguebegan a collaboration to promote online entrepreneurship amongrural Chineseyouth.: 129Later that year, Alibaba signed other rural development agreements with theNational Development and Reform CommissionandMinistry of Agriculture.: 129 In May 2017, Alibaba signed a memorandum with theSupreme People's Procuratorate's Anti-Corruption Bureau "to create a clean, credible, rule-of-law market environment.": 77Pursuant to the memorandum, the Bureau provides Alibaba and Ant Group with access to criminal records from bribery cases and Alibaba and Ant Group query those records including during verification of Taobao sellers and in connection with anti-money laundering initiatives and financial risk controls.: 77 On 7 August 2021, Alibaba fired a manager who admitted to "indecent acts" with an inebriated employee.The case highlighted issues of sexual harassment in the workplace. Alibaba actively promotes female employment, collaborating with theAll-China Women's Federationfor community e-commerce events. The company also donates to UN Women to support female employment initiatives.Half of Alibaba's employees are women, with one-third of leadership roles, especially in departments like human resources, held by women. Alibaba collaborates with Hangzhou'ssmart cityinitiative and efforts to digitize the economy and build a cashless city.: 122–123

[
    "Q1359568 - Alibaba Group: Chinese multinational technology company",
    "Q30273327 - Alibaba Group (United States): company in San Mateo, United States",
    "Q33134100 - Alibaba Group Holding Limited 2017 Form 20-F: form 20-F",
    "Q129267197 - Alibaba Group’s Business Strategy Impact Research: scholarly article",
    "Q125723892 - ALIBABA GROUP: RIVALS AT THE GATE?: scientific article published in 2020"
]

[
    "Q130483011 - Rural Taobao: An E-commerce channel for the precision poverty alleviation in China: scientific article published in 2024"
]

[
    "Q1186190 - National Development and Reform Commission: department of the State Council of the People's Republic of China",
    "Q30284954 - National Development and Reform Commission Energy Research Institute: government organization in Beijing, China"
]

[
    "Q4970 - Hangzhou: capital of Zhejiang Province, China",
    "Q11523764 - Hang Prefecture: historical administrative division in Zhejiang, China",
    "Q112246115 - Hangzhou: fictional location in Water Margin",
    "Q113700534 - Hangzhou: fictional city in Jin Ping Mei",
    "Q2419742 - Hangzhou Metro: metro system in Hangzhou, China"
]

[
    "Q1071253 - Communist Youth League of China: youth division of the Chinese Communist Party",
    "Q5154543 - Communist Youth League: political youth organization in Finland",
    "Q7551839 - Socialist Youth League: youth wing of the now disbanded Swedish Socialist Party",
    "Q5154539 - Communist Youth League: former far-left youth organization in Japan"
]

[
    "Q1359568 - Alibaba Group: Chinese multinational technology company",
    "Q30273327 - Alibaba Group (United States): company in San Mateo, United States",
    "Q33134100 - Alibaba Group Holding Limited 2017 Form 20-F: form 20-F",
    "Q129267197 - Alibaba Group’s Business Strategy Impact Research: scholarly article",
    "Q125723892 - ALIBABA GROUP: RIVALS AT THE GATE?: scientific article published in 2020"
]

[
    "Q2682024 - Supreme People's Procuratorate of the People's Republic of China: organization in Beijing, China",
    "Q59862671 - Supreme People's Procuratorate Details New Efforts to Prosecute Abuses of Power: article published by Congressional-Executive Commission on China",
    "Q59859712 - Supreme People's Procuratorate Promises to Focus on Eliminating Torture: article published by Congressional-Executive Commission on China",
    "Q59862042 - Supreme People's Procuratorate Recognizes Continuing Problem of Extended Detention: article published by Congressional-Executive Commission on China",
    "Q63933279 - Supreme People's Procuratorate Judicial Interpretation Study: scholarly article published in January 2016"
]

[
    "Q21979415 - Ant Group: Chinese company",
    "Q30659958 - Ant groups optimally amplify the effect of transiently informed individuals: scientific article"
]

[
    "Q751722 - sexual harassment: unwanted sexual attention or advances",
    "Q3351858 - Eve teasing: euphemism, primarily occurring in Indian English, used for public sexual harassment or sexual assault of women by men",
    "Q7458665 - Sexual Harassment: episode of The Office (S2 E2)",
    "Q114538360 - Sexual Harassment: episode of Hang Time (S3 E2)",
    "Q12000102 - Sexual Harassment: album by Turbonegro"
]

[
    "Q1359568 - Alibaba Group: Chinese multinational technology company",
    "Q30273327 - Alibaba Group (United States): company in San Mateo, United States",
    "Q33134100 - Alibaba Group Holding Limited 2017 Form 20-F: form 20-F",
    "Q129267197 - Alibaba Group’s Business Strategy Impact Research: scholarly article",
    "Q125723892 - ALIBABA GROUP: RIVALS AT THE GATE?: scientific article published in 2020"
]

[
    "Q843683 - All-China Women’s Federation: women's organization in China",
    "Q59710665 - All-China Women's Federation Proposes, Highlights Need for Draft Anti-Domestic Violence Legislation: article published by Congressional-Executive Commission on China"
]

[
    "Q4970 - Hangzhou: capital of Zhejiang Province, China",
    "Q11523764 - Hang Prefecture: historical administrative division in Zhejiang, China",
    "Q112246115 - Hangzhou: fictional location in Water Margin",
    "Q113700534 - Hangzhou: fictional city in Jin Ping Mei",
    "Q2419742 - Hangzhou Metro: metro system in Hangzhou, China"
]

[
    "Q130483011 - Rural Taobao: An E-commerce channel for the precision poverty alleviation in China: scientific article published in 2024"
]

[
    "Q1359568 - Alibaba Group: Chinese multinational technology company",
    "Q30273327 - Alibaba Group (United States): company in San Mateo, United States",
    "Q33134100 - Alibaba Group Holding Limited 2017 Form 20-F: form 20-F",
    "Q129267197 - Alibaba Group’s Business Strategy Impact Research: scholarly article",
    "Q125723892 - ALIBABA GROUP: RIVALS AT THE GATE?: scientific article published in 2020"
]

[
    "Q21979415 - Ant Group: Chinese company",
    "Q30659958 - Ant groups optimally amplify the effect of transiently informed individuals: scientific article"
]

[
    "Q751722 - sexual harassment: unwanted sexual attention or advances",
    "Q3351858 - Eve teasing: euphemism, primarily occurring in Indian English, used for public sexual harassment or sexual assault of women by men",
    "Q7458665 - Sexual Harassment: episode of The Office (S2 E2)",
    "Q114538360 - Sexual Harassment: episode of Hang Time (S3 E2)",
    "Q12000102 - Sexual Harassment: album by Turbonegro"
]

[
    "Q1359568 - Alibaba Group: Chinese multinational technology company",
    "Q30273327 - Alibaba Group (United States): company in San Mateo, United States",
    "Q33134100 - Alibaba Group Holding Limited 2017 Form 20-F: form 20-F",
    "Q129267197 - Alibaba Group’s Business Strategy Impact Research: scholarly article",
    "Q125723892 - ALIBABA GROUP: RIVALS AT THE GATE?: scientific article published in 2020"
]

[
    "Q1999 - 2014: year",
    "Q5371769 - 2014: natural number",
    "Q9678 - 2014 Winter Olympics: 22nd edition of Winter Olympics, in Sochi, Russia",
    "Q108816797 - 2014 Indonesian People's Representative Council election: None",
    "Q16735873 - 2014 Macedonian general election: None"
]

[
    "Q21979415 - Ant Group: Chinese company",
    "Q30659958 - Ant groups optimally amplify the effect of transiently informed individuals: scientific article"
]

[
    "Q4970 - Hangzhou: capital of Zhejiang Province, China",
    "Q11523764 - Hang Prefecture: historical administrative division in Zhejiang, China",
    "Q112246115 - Hangzhou: fictional location in Water Margin",
    "Q113700534 - Hangzhou: fictional city in Jin Ping Mei",
    "Q2419742 - Hangzhou Metro: metro system in Hangzhou, China"
]

[
    "Q843683 - All-China Women’s Federation: women's organization in China",
    "Q59710665 - All-China Women's Federation Proposes, Highlights Need for Draft Anti-Domestic Violence Legislation: article published by Congressional-Executive Commission on China"
]

[
    "Q751722 - sexual harassment: unwanted sexual attention or advances",
    "Q3351858 - Eve teasing: euphemism, primarily occurring in Indian English, used for public sexual harassment or sexual assault of women by men",
    "Q7458665 - Sexual Harassment: episode of The Office (S2 E2)",
    "Q114538360 - Sexual Harassment: episode of Hang Time (S3 E2)",
    "Q12000102 - Sexual Harassment: album by Turbonegro"
]

[
    "Q21979415 - Ant Group: Chinese company",
    "Q30659958 - Ant groups optimally amplify the effect of transiently informed individuals: scientific article"
]

[
    "Q4970 - Hangzhou: capital of Zhejiang Province, China",
    "Q11523764 - Hang Prefecture: historical administrative division in Zhejiang, China",
    "Q112246115 - Hangzhou: fictional location in Water Margin",
    "Q113700534 - Hangzhou: fictional city in Jin Ping Mei",
    "Q2419742 - Hangzhou Metro: metro system in Hangzhou, China"
]

[
    "Q843683 - All-China Women’s Federation: women's organization in China",
    "Q59710665 - All-China Women's Federation Proposes, Highlights Need for Draft Anti-Domestic Violence Legislation: article published by Congressional-Executive Commission on China"
]

[
    "Q1999 - 2014: year",
    "Q5371769 - 2014: natural number",
    "Q9678 - 2014 Winter Olympics: 22nd edition of Winter Olympics, in Sochi, Russia",
    "Q108816797 - 2014 Indonesian People's Representative Council election: None",
    "Q16735873 - 2014 Macedonian general election: None"
]

[
    "Q1186190 - National Development and Reform Commission: department of the State Council of the People's Republic of China",
    "Q30284954 - National Development and Reform Commission Energy Research Institute: government organization in Beijing, China"
]


Social responsibility

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: Alibaba_Group, Social responsibility: In 2014, the Chinese government and Alibaba partnered to create the rural e-commerce expansion program Rural Taobao, which aimed to provide rural households with the same level of access to consumer goods that urban residents have and to facilitate the sale of agricultural goods through e-commerce.: 129As of 2017, the program covered 16,500 villages.: 130 Beginning in March 2016, Alibaba and theCommunist Youth Leaguebegan a collaboration to promote online entrepreneurship amongrural Chineseyouth.: 129Later that year, Alibaba signed other rural development agreements with theNational Development and Reform CommissionandMinistry of Agriculture.: 129 In May 2017, Alibaba signed a memorandum with theSupreme People's Procuratorate's Anti-Corruption Bureau "to create a clean, credible, rule-of-law market environment.": 77Pursuant to the memorandum, the Bureau provides Alibaba and Ant Group with access to criminal records from bribery cases and Alibaba and Ant Group query those records including during verification of Taobao sellers and in connection with anti-money laundering initiatives and financial risk controls.: 77 On 7 August 2021, Alibaba fired a manager who admitted to "indecent acts" with an inebriated employee.The case highlighted issues of sexual harassment in the workplace. Alibaba actively promotes female employment, collaborating with theAll-China Women's Federationfor community e-commerce events. The company also donates to UN Women to support female employment initiatives.Half of Alibaba's employees are women, with one-third of leadership roles, especially in departments like human resources, held by women. Alibaba collaborates with Hangzhou'ssmart cityinitiative and efforts to digitize the economy and build a cashless city.: 122–123

Alibaba_Group

Q130483011 - Rural Taobao: An E-commerce channel for the precision poverty alleviation in China: scientific article published in 2024

Alibaba_Group

Q30659958 - Ant groups optimally amplify the effect of transiently informed individuals: scientific article

Alibaba_Group

Q2117484 - Taobao: Chinese website for online shopping

Q2829108 - Tmall: Chinese-language website for business-to-consumer online retail

Q76317042 - Taobao 2016 data breach: Hacked

Q123592341 - Taobao village: pattern of e-commerce in rural Chinese villages

Alibaba_Group

Q1231558 - smart city: urban area that uses different types of electronic Internet of things sensors to collect data and then use these data to manage assets and resources efficiently

Q107526569 - Smart City Plan: 2020 video game

Q16254340 - Smart City: 2006 film by B. Unnikrishnan

Q131275989 - Vinhomes Smart City: urban area in Hanoi, Vietnam

Q111057383 - OYO 29271 Smart City: hotel in Delhi Transit, India

Alibaba_Group

Alibaba_Group

Q4970 - Hangzhou: capital of Zhejiang Province, China

Q11523764 - Hang Prefecture: historical administrative division in Zhejiang, China

Q112246115 - Hangzhou: fictional location in Water Margin

Q113700534 - Hangzhou: fictional city in Jin Ping Mei

Q2419742 - Hangzhou Metro: metro system in Hangzhou, China

Alibaba_Group

Q11451 - agriculture: cultivation of plants and animals to provide useful products

Q173113 - agronomy: science and technology of producing and using plants for food, fuel, fiber, and reclamation

Q3606845 - agricultural science: academic field about agriculture and farming

Q131512 - farmer: person engaged in agriculture, raising living organisms for food or raw materials

Q50815382 - Agriculture: Academic journal published by MDPI AG , covering the subjects: Agriculture: Agriculture (General)

Alibaba_Group

Q50602 - Manchester City F.C.: association football club in Manchester, England

Q90 - Paris: capital city and largest city of France

Q19444 - Birmingham City F.C.: association football club in Birmingham, England

Q18736 - Stoke City F.C.: association football club in Stoke-on-Trent, England

Alibaba_Group

Q484847 - e-commerce: type of business industry usually conducted over the Internet

Q59355769 - E-Commerce: 2018 book chapter by Meira et al

Q351764 - e-commerce payment system: method of payment used in electronic commerce

Q4382945 - online shop: Internet-based retailer

Q60726580 - E-Commerce: 2012 encyclopedia article by Steinfield

Alibaba_Group

Q6581072 - female: to be used in "sex or gender" (P21) to indicate that the human subject is a female or "semantic gender" (P10339) to indicate that a word refers to a female person

Q11774891 - ice hockey player: sportsperson taking part in ice hockey competitions

Q19507487 - Women Painters of the World, from the time of Caterina Vigri, 1413-1463, to Rosa Bonheur and the present day, 1905: 1905 book listing an overview of women painters

Q11879590 - female given name: given name usually meant for girls and women

Alibaba_Group

Q641576 - UN Women: United Nations Organization for Gender Equality and the Empowerment of Women

Q30288885 - UN Women’s Office for India, Bhutan, Maldives and Sri Lanka: organization in New Delhi, India

Q105883597 - UN Women Goodwill Ambassador: celebrity advocate for UN Women (UN Entity for Gender Equality and the Empowerment of Women)

Q105724393 - UN Women Germany: national, German committee of UN Women

Q26257619 - UN Women Her Story: United Nations Women global editathon initiative #HerStory

Alibaba_Group

Alibaba_Group

Q1186190 - National Development and Reform Commission: department of the State Council of the People's Republic of China

Q30284954 - National Development and Reform Commission Energy Research Institute: government organization in Beijing, China

Alibaba_Group

Q843683 - All-China Women’s Federation: women's organization in China

Q59710665 - All-China Women's Federation Proposes, Highlights Need for Draft Anti-Domestic Violence Legislation: article published by Congressional-Executive Commission on China

Alibaba_Group

Q2682024 - Supreme People's Procuratorate of the People's Republic of China: organization in Beijing, China

Q59862671 - Supreme People's Procuratorate Details New Efforts to Prosecute Abuses of Power: article published by Congressional-Executive Commission on China

Q59859712 - Supreme People's Procuratorate Promises to Focus on Eliminating Torture: article published by Congressional-Executive Commission on China

Q59862042 - Supreme People's Procuratorate Recognizes Continuing Problem of Extended Detention: article published by Congressional-Executive Commission on China

Q63933279 - Supreme People's Procuratorate Judicial Interpretation Study: scholarly article published in January 2016

Alibaba_Group

Q751722 - sexual harassment: unwanted sexual attention or advances

Q3351858 - Eve teasing: euphemism, primarily occurring in Indian English, used for public sexual harassment or sexual assault of women by men

Q7458665 - Sexual Harassment: episode of The Office (S2 E2)

Q114538360 - Sexual Harassment: episode of Hang Time (S3 E2)

Q12000102 - Sexual Harassment: album by Turbonegro

Alibaba_Group

Q25548518 - cashless society: society in which financial transactions are not conducted with physical banknotes or coins but instead with digital information

Q24234015 - Cashless Society: southern African hip hop group

Q128555364 - Cashless Society – The Future of Money or a Utopia?: scholarly article

Alibaba_Group

Q129401084 - Agritainment: A Chinese Style of Leisure and Aesthetic Space: scholarly article

Q119671294 - Agritainment in Mountain Villages as Urban Consumption Space: None

Alibaba_Group

Q843958 - digitization: process of creating a digital representation of a document or object

Q61965474 - digitization ministry: government ministry responsible for digitalisation issues

Q108919252 - digitization strategy: type of strategy

Q60809856 - Minister of Digitalisation of Norway: None

Q2122231 - quantization error: difference between an input value and its quantized value during digitization

Alibaba_Group

Q187436 - bribery: illicit act of giving or promising money or gifts that alters the behavior of a person in power; illicit act of a person in power deciding based on money or gift received or promised

Q5560864 - bribery: type of malfeasance in office

Q117368440 - Bribery: Thoroughbred horse

Q913344 - Bribery Act 2010: Public General Act of Parliament of the United Kingdom

Q4965828 - Bribery, Corruption Also: 1999 novel by H. R. F. Keating

Alibaba_Group

Q4530482 - economic development: process and policies to improve economic well-being

Q113052975 - Economic Development: Economic Development of Economy and Labour Ministry in Bermuda

Q5333372 - Economic Development and Cultural Change: journal

Q5333370 - Economic Development Quarterly: journal

Q113483594 - Economic development: book published in 2006

Alibaba_Group

Q837171 - financial services: economic service provided by the finance industry

Q5449654 - Financial Services: functional constituency of Hong Kong

Q5449661 - Financial Services and Markets Act 2000: Public General Act of Parliament of the United Kingdom

Q57774188 - financial sector: all companies working in financial services

Q3591545 - financial services company: type of business enterprise

Alibaba_Group

Q7188 - government: system or group of people governing an organized community, often a state

Q212238 - civil servant: person employed by a government department or agency

Q1080794 - public school: type of school funded in whole or in part by general taxation

Q327333 - government agency: organisational part of a government responsible for specific public services, such as health, judiciary, education, transportation, foreign affairs, etc

Q83307 - minister: politician who holds significant civil public office in a national or regional government, generally heading a ministry

Alibaba_Group

Q3427818 - social responsibility: ethical theory that an entity, be it an organization or individual, has an obligation to act to benefit society at large

Q15754962 - Social Responsibility Journal: journal

Q27716718 - Social responsibility, journalism, law, medicine: journal

Q84934242 - Social Responsibility in Research Practice: Engaging applied scientists with the socio-ethical context of their work: doctoral thesis

Q112889491 - Social responsibility in New Zealand’s offshore supply chains: What would it take to contribute towards improved labour conditions in China?: 2012 master's thesis by Kate Day at University of Canterbury

Alibaba_Group

Q40231 - public election: process by which a population chooses the holder of a public office

Q19772737 - political candidate: candidate in an election for political office

Q51591359 - voting result: numeric outcome of an election or vote

Q19571328 - electoral result: results of an election

Alibaba_Group

Q7278 - political party: organization that seeks to influence government policy and actions and be elected to directly take part on government or legislation

Q11388835 - member of political party: citizens affiliating with a political party

Q1591223 - Party for Democratic Prosperity: political party

Q682969 - Institutional Revolutionary Party: Mexican political party

Alibaba_Group

Q82955 - politician: person who holds or seeks positions in government

Q133460502 - Politician: Member of Parliament for Kwabre East

Q64581291 - Politician: drawing in the National Gallery of Art (NGA 7042)

Q104854338 - Politician: 1985 novel by Piers Anthony

Alibaba_Group

Q366 - corruption: form of dishonesty or criminal offense undertaken by a person or organization entrusted with a position of authority, to acquire illicit benefit or abuse power for one's private gain

Q66622381 - Corruption: instrumental recording by Kevin MacLeod

Q4923918 - corruption: linguistic phenomenon

Alibaba_Group

Q1368 - money: object or record accepted as payment

Q105780702 - Money: vocal track by Elin Lanto; 2007 studio recording

Q8142 - currency: generally accepted medium of exchange for goods or services

Alibaba_Group

Q4830453 - business: organization undertaking commercial, industrial, or professional activity

Q6881511 - enterprise: organizational unit producing goods or services, which benefits from a certain degree of autonomy in decision-making, especially for the allocation of its current resources

Q43845 - businessperson: person involved in activities for the purpose of generating revenue

Q63712615 - Business Management Journal: journal

Q2961975 - business executive: person responsible for running a business, or an aspect of it

Alibaba_Group

Q20639856 - professional sports team: type of sports team

Q110555130 - Professional sports teams in Quebec: Wikimedia list article

Q6635029 - list of professional sports teams in Utah: Wikimedia list article

Alibaba_Group

Q349 - sport: forms of recreational activity, usually physical

Q27020041 - sports season: season of a sports league or competition, generally a specific one year period

Q2066131 - athlete: person who participates regularly in a sport

Q2215841 - cycle sport: competitive physical activity using bicycles

Q50806913 - Sports: Academic journal published by MDPI AG , covering the subjects: Geography. Anthropology. Recreation: Recreation. Leisure: Sports

Alibaba_Group

Q11513337 - athletics competitor: sportsperson that competes in athletics (track and field, running, walking)

Q58840094 - sportsperson who competes in this club or team: Wikidata metaclass

Q580268 - Athlete: English indie rock band

Q57503980 - Mahfujur Rahman: researcher ORCID ID = 0000-0002-6495-4407

Alibaba_Group

Q173799 - entertainment: activity that holds attention or gives pleasure

Q275033 - Entertainment Weekly: American entertainment magazine published by Meredith Corporation

Q5323129 - Entertainment Identifier Registry: global unique identifier system for audio visual objects

Q1273666 - MNRK Music Group: American independent record label company

Q5380451 - Entertainment Film Distributors: British film distributor

Alibaba_Group

Q11424 - film: sequence of images that give the impression of movement, stored on film stock

Q1137203 - thin film: a layer of material ranging from fractions of a nanometer to several micrometers in thickness

Q2526255 - film director: person who controls the artistic and dramatic aspects of a film production

Q41253 - movie theater: venue, usually a building, for viewing films

Q93204 - documentary film: nonfictional motion picture

Alibaba_Group

Q1210950 - channel: type of landform; confined river; strait

Q583271 - spiritual medium: person said to mediate communication between spirits of the dead and other human beings

Q836957 - channel catfish: species of fish

Q733553 - channel: physical or logical connection used for transmission of information

Alibaba_Group

Q1935974 - cityscape: art genre depicting the urban landscape

Q42304051 - cityscape: urban equivalent of a landscape

Q17324090 - Cityscape: painting by Jacob Maris (Rijksmuseum, SK-A-1404)

Q17329729 - Cityscape: painting by Jacob Maris (Rijksmuseum, SK-A-2455)

Alibaba_Group

Q2221906 - geographic location: point, line or area on or near Earth

Q202142 - locative case: grammatical case which indicates a location

Q98929991 - place: small area known by a geographical name

Q17334923 - physical location: property describing the position of something in space

Alibaba_Group

Q41710 - ethnic group: socially defined category of people who identify with each other

Q5404323 - ethnicity: a person's ethnic background

Q106474968 - ethnic group by settlement in Macedonia: census category

Q83828 - ethnic groups in Indonesia: overview of ethnic groups in Indonesia

Q2531956 - ethnic minority group: ethnic group, minority within a state, especially a single ethnic group within a polyethnic state

Alibaba_Group

Q783794 - company: legal entity representing an association of people, whether natural, legal or a mixture of both, with a specific objective

Q102538 - company: military unit size designation

Q1162163 - director: person who leads a particular area of a company or organization

Alibaba_Group

Q43229 - organization: social entity established to meet needs or pursue goals

Q2029841 - organization: concept in economics: activity in which something is accomplished

Q4479442 - founder: person who creates an institution intended to perpetuate itself after the founder's association ends

Q15642541 - human-geographic territorial entity: territorial entity of which the borders are determined by physiographic and human features

Alibaba_Group

Q83440 - country music: genre of American popular music

Q6256 - country: distinct territorial body or political entity

Q3624078 - sovereign state: state that has the highest authority over a territory

Q902 - Bangladesh: country in South Asia

Q175185 - rural area: geographic area that is located outside towns and cities

Alibaba_Group

Q315 - language: structured system of communication

Q34770 - language: particular system of communication, often named for the region or peoples that use it

Q75488338 - Language: controlled vocabulary that list language names of the European Union

Q60317586 - Language: ESRB video game content descriptor for games that contains some use of profanity.

Alibaba_Group

Q7275 - state: organised community living under a system of government; either a sovereign state, constituent state, or federated state

Q17 - Japan: island country in East Asia

Q671384 - Statens Museum for Kunst: art museum in Copenhagen, Denmark

Alibaba_Group

Q12819564 - station: intermediate stopping places along transportation routes

Q27996466 - Bahnhof (station): type of train station in Germany according to Eisenbahn-Bau- und Betriebsordnung

Q25271 - International Space Station: modular space station in low Earth orbit

Q22808404 - station located on surface: type of station

Q22808403 - underground station: type of station

Alibaba_Group

Q12737077 - occupation: label applied to a person based on an activity they participate in

Q192581 - job activity: activity done by a person to earn money

Q63188808 - Orthodox Bishop: lifelong occupation which serves a purpose within the context of the Catholic Church

Q188686 - military occupation: effective provisional control of a certain power over a territory

Q11773926 - ecclesiastical occupation: None

Alibaba_Group

Q8148 - industrial sector: economic sector characterized by large scale automated manufacturing as in industrialization

Q979263 - Industry: city in Austin County, Texas, United States

Q268592 - industry: group of firms that produce a closely related set of raw materials, goods, or services

Q3958441 - economic sector: conceptual grouping of economic activities

Alibaba_Group

Q5 - human: any single member of Homo sapiens, unique extant species of the genus Homo

Q215627 - person: being that has certain capacities or attributes constituting personhood (for humans, use Q5 [human] with P31 [instance of])

Alibaba_Group

Q3918 - university: academic institution for further education

Q34433 - University of Oxford: collegiate research university in Oxford, England (Est. 1096)

Q219563 - University of Washington: public research university in Seattle, Washington, United States

Q35794 - University of Cambridge: collegiate public research university in Cambridge, England, United Kingdom

Q503424 - University of Leeds: university in Leeds, United Kingdom

Alibaba_Group

Alibaba_Group

Q1248784 - airport: location where aircraft take off and land with extended support facilities, mostly for commercial air transport

Q135264374 - Airport: Tony Hawk's Pro Skater 3 level

Q409022 - Airport: 1970 film directed by George Seaton

Q4698923 - Airport: metro station serving Newcastle Airport

Alibaba_Group

Q3914 - school: institution for the education of students by teachers

Q180958 - faculty: division of a university by subject area, sometimes also by level

Q2385804 - educational institution: institution that provides education

Q1244442 - school building: individual buildings or groups of buildings designed or used as places of instruction

Q37226 - teacher: person who helps others to acquire knowledge, competences or values

Alibaba_Group

Q7397 - software: non-tangible executable component of a computer

Q166142 - application: software program or group of programs designed for end-users

Q40056 - computer program: sequence of instructions written in programming language to perform a specified task with a computer

Q210167 - video game developer: software development organization specializing in the creation of video games (for person use Q58287519)

Q567371 - Software AG: German software producer

Alibaba_Group

Q27686 - hotel: business enterprise that provides indoor lodging in a single location paid on a short-term basis

Q1630803 - Hotel: American 1980s drama television series

Q1365179 - private mansion: French town houses, especially of the 18th century, generally more elegant, ornate, and larger than other houses

Q110772653 - 4-star hotel rating: hotel rating (to be used for P10290)

Q63099748 - hotel building: building designed and built for use as a hotel

Alibaba_Group

Q2095 - food: any substance consumed to provide nutritional support for the body; form of energy stored in chemical

Q8195619 - human food: food eaten by Homo sapiens

Q173710 - esophagus: vertebrate organ through which food passes to the stomach

Q3007875 - Food Chemistry: peer-reviewed scientific journal

Alibaba_Group

Q206021 - flight: process by which an object moves, through an atmosphere or beyond it

Q51879220 - flight: superpower ability to lift off the ground, to ride air currents or to fly self-propelled through the air

Q1430466 - flight: response to distress by fleeing

Q13583449 - flight: military aviation unit size designation

Q744913 - aviation accident: aviation occurrence involving serious injury, death, or destruction of aircraft

Alibaba_Group

Q1956672 - agritourism: agriculturally based operation or activity that brings visitors to a farm or ranch

Q66670930 - Agritourism: publication published in 2009

Q112957047 - Agritourism As a Tool for Sustainable Local Development: The Case of Thuy Bieu, Vietnam: 2021 doctoral thesis by Thi Thu Thao Trinh at Auckland University of Technology

Q24265680 - Agritourism: health and safety guidelines for children. (2nd edition): publication published in 2011

Q25932881 - Agritourism: health and safety guidelines for children: publication published in 2007

Alibaba_Group

Q49389 - tourism: travel for pleasure or business

Q570116 - tourist attraction: place of interest where tourists visit

Q63718472 - Tourism Tribune: Chinese journal

Q1200957 - tourist destination: place attracting many tourists

Q778920 - Tourism: 1992 studio album by Roxette

Alibaba_Group

Q213441 - shop: place where items or services are sold

Q12049274 - retail worker: person who works in the retail industry or business activity that generally sells to the public (consumer)

Q99536263 - retailer: business which sells products to consumers

Q15080920 - reseller: company or individual that purchases goods or services with the intention of selling them

Q2746361 - retailers' cooperative: type of cooperative

Alibaba_Group

Q22855 - consumer: person or group of people that are the final users of products and or services; one who pays something to consume goods and services produced

Q72638 - consumer: organism in an ecological food chain that receives energy by consuming other organisms

Q646089 - Consumer Electronics Show: electronics and technology trade show

Q664183 - consumer protection: efforts and measures intended to protect consumers of goods or services against unfair practices in the marketplace

Q581105 - consumer electronics: electronic equipment intended for everyday use, typically in private homes

Alibaba_Group

Q697327 - lawsuit: civil action brought in a court of law

Q114481265 - Lawsuit: episode of Space Ghost Coast to Coast (S5 E3)

Q1056489 - lawsuit against a supernatural being: civil action brought in a court of law against a supernatural being such as God or the devil

Q6517508 - legal financing: mechanism or process through which litigants (and even law firms) can finance their litigation or other legal costs through a third party funding company

Alibaba_Group

Q41487 - court: judicial institution with the authority to resolve legal disputes

Q12731 - dead end street: dead-end street with only one inlet/outlet

Q309250 - courtyard: enclosed area, often by a building, that is open to the sky

Alibaba_Group

Q51999571 - Judicial case management and the custody and access assessment: melding the approaches: scientific article published on August 1, 1997

Alibaba_Group

Q11436 - aircraft: machine that is able to fly by gaining support from the air other than the reactions of the air against the earth’s surface

Q2095549 - aircraft pilot: person controlling an aircraft in flight

Q15056995 - aircraft model: specific aircraft design and specification, differentiated from others of its family

Q743004 - aircraft engine: engine designed for use in powered aircraft

Alibaba_Group

Q217438 - demonym: name for a resident of a locality

Q134617828 - Demonyms in Canada: website for English demonyms for Canadian places

Q3100940 - list of demonyms for US states and territories: Wikimedia list article

Q105942275 - demonym of: inverse label of property P1549 (demonym)

Q3044537 - demonyms for the United States: how people from the United States of America are known

Output: None of the candidates

Output: None of the candidates


External links

company product service industry brand country location organization person founder position event action founding accusition merger partnership expansion restructuring divestment sale bankruptcy financial_metric business_concept revenue profit loss investment funding market_share competition market_trend regulation innovation sustainability corporate_social_responsibility award date/time year period

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is NER: Named Entity Recognition.

Here is an example of task execution:

{'Schema': ['Person', 'Organization', 'Location', 'Date', 'Product'], 'Text': 'The Eiffel Tower in Paris, designed by Gustave Eiffel, is one of the most famous landmarks in France.', 'Entities': [['Eiffel Tower', 'Location'], ['Paris', 'Location'], ['Gustave Eiffel', 'Person'], ['France', 'Location']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Entity", "Type"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: ["company", "product", "service", "industry", "brand", "country", "location", "organization", "person", "founder", "position", "event", "action", "founding", "accusition", "merger", "partnership", "expansion", "restructuring", "divestment", "sale", "bankruptcy", "financial_metric", "business_concept", "revenue", "profit", "loss", "investment", "funding", "market_share", "competition", "market_trend", "regulation", "innovation", "sustainability", "corporate_social_responsibility", "award", "date/time", "year", "period"]
Text: article: Alibaba_Group, External links: 30°11′31″N120°11′07″E / 30.19194°N 120.18528°E /30.19194; 120.18528

[
    "Q1359568 - Alibaba Group: Chinese multinational technology company",
    "Q30273327 - Alibaba Group (United States): company in San Mateo, United States",
    "Q33134100 - Alibaba Group Holding Limited 2017 Form 20-F: form 20-F",
    "Q129267197 - Alibaba Group’s Business Strategy Impact Research: scholarly article",
    "Q125723892 - ALIBABA GROUP: RIVALS AT THE GATE?: scientific article published in 2020"
]


External links

Prompt:
Information Extraction is the process of automatically identifying and extracting structured information from unstructured text data. The goal is to transform raw text into meaningful data that can be easily analyzed and used in various applications. Named Entity Recognition (NER) and Relation Extraction are two common tasks in Information Extraction.

Named Entity Recognition involves identifying and classifying named entities such as people, organizations, locations, and other domain-specific concepts. Relation Extraction involves identifying and extracting relationships between entities.

The task at hand is RE: Relation Extraction.

Here is an example of task execution:

{'Schema': [{'designed': {'domain': 'Person', 'range': 'Structure'}}, {'located_in': {'domain': 'Structure', 'range': 'Location'}}, {'part_of': {'domain': 'City', 'range': 'Country'}}, {'friends_with': {'domain': 'Person', 'range': 'Person'}}, {'lives_at': {'domain': 'Person', 'range': 'Location'}}, {'visits': {'domain': 'Person', 'range': 'Location'}}, {'accompanied_by': {'domain': 'Person', 'range': 'Person'}}, {'shares': {'domain': 'Person', 'range': 'Product'}}], 'Text': 'Gustave Eiffel designed the Eiffel Tower, which is located in Paris, France.', 'Relations': [['Gustave Eiffel', 'designed', 'Eiffel Tower'], ['Eiffel Tower', 'located_in', 'Paris'], ['Paris', 'part_of', 'France']]}

Analyze the text and targets carefully, identify relevant information.

Extract the information in the following format: `[["Subject", "Relation", "Object"], ...]`. If no matching entities are found, return an **empty list**. Please provide only the extracted information without any explanations.

Schema: [{"part_of": {"domain": "Organization", "range": "Organization"}}, {"parent_company_of": {"domain": "Organization", "range": "Organization"}}, {"subsidiary_of": {"domain": "Organization", "range": "Organization"}}, {"acquired": {"domain": "Organization", "range": "Organization"}}, {"divested": {"domain": "Organization", "range": "Organization"}}, {"owns_brand": {"domain": "Organization", "range": "Product/Brand"}}, {"holds_stake_in": {"domain": "Organization", "range": "Organization"}}, {"spun_off": {"domain": "Organization", "range": "Organization"}}, {"formed_from": {"domain": "Organization", "range": "Organization"}}, {"founded_by": {"domain": "Organization", "range": "Person"}}, {"has_CEO": {"domain": "Organization", "range": "Person"}}, {"manufactures": {"domain": "Organization", "range": "ProductType"}}, {"develops": {"domain": "Organization", "range": "ProductType"}}, {"produces": {"domain": "Organization", "range": "ProductType"}}, {"sells": {"domain": "Organization", "range": "ProductType"}}, {"has_product_line": {"domain": "Organization", "range": "Product/Brand"}}, {"is_a_type_of": {"domain": "Product/Brand", "range": "ProductType"}}, {"is_brand_of": {"domain": "Product/Brand", "range": "Organization"}}, {"features_technology": {"domain": "Product/Brand", "range": "Technology"}}, {"uses_material": {"domain": "Product/Brand", "range": "Material"}}, {"launched_product": {"domain": "Organization", "range": "Product/Brand"}}, {"had_revenue_of": {"domain": "Organization", "range": "Amount"}}, {"had_profit_of": {"domain": "Organization", "range": "Amount"}}, {"in_year": {"domain": "FinancialMetric", "range": "Year"}}, {"market_value_of": {"domain": "Organization", "range": "Amount"}}, {"is_publicly_traded": {"domain": "Organization", "range": "Boolean"}}, {"listed_on_exchange": {"domain": "Organization", "range": "StockExchange"}}, {"experienced_growth": {"domain": "Organization", "range": "FinancialMetric"}}, {"occurred_in_year": {"domain": "Event/Action", "range": "Year"}}, {"occurred_on_date": {"domain": "Event/Action", "range": "SpecificDate"}}, {"resulted_in": {"domain": "Event/Action", "range": "Outcome"}}, {"preceded": {"domain": "Event/Action", "range": "Event/Action"}}, {"followed_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"marked_milestone": {"domain": "Event/Action", "range": "Organization"}}, {"influenced_by": {"domain": "Event/Action", "range": "Event/Action"}}, {"led_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"was_a_response_to": {"domain": "Event/Action", "range": "Event/Action"}}, {"has_trademark": {"domain": "Organization", "range": "Trademark"}}, {"uses_logo": {"domain": "Organization", "range": "Logo"}}, {"acquired_trademark_from": {"domain": "Organization", "range": "Organization"}}, {"is_known_for": {"domain": "Organization", "range": "Characteristic"}}, {"launched_campaign": {"domain": "Organization", "range": "BusinessConcept"}}]
Text: article: Alibaba_Group, External links: 30°11′31″N120°11′07″E / 30.19194°N 120.18528°E /30.19194; 120.18528

Alibaba_Group

P625 - coordinate location: geocoordinates of the subject. For Earth, please note that only the WGS84 geodetic datum is currently supported

P276 - location: location of the object, structure or event; use P131 to indicate the containing administrative entity, P8138 for statistical entities, or P706 for geographic entities; use P7153 for locations associated with the object

P937 - work location: location where persons or organisations were actively participating in employment, business or other work

P3005 - valid in place: place where a statement is valid

P131 - located in the administrative territorial entity: the item is located on the territory of the following administrative entity. Use P276 for specifying locations that are non-administrative places and for items about events. Use P1382 if the item falls only partially into the administrative entity.

Alibaba_Group