Hong Kong listing

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, Hong Kong listing: In May 2019, Bloomberg cited sources familiar with the matter as saying that Alibaba was considering raising $20 billion through a second listing in Hong Kong.In November 2019, Alibaba raised 12.9 billion in its secondary listing in Hong Kong, which became the world's largest offering that year.On Tuesday, 10 September 2019, Jack Ma officially stepped down as the chairman of Alibaba,Daniel Zhangsucceeded him at the head of the company. In November 2020,The Wall Street Journalreported thatChinese leaderXi Jinpingpersonally scuttled Jack Ma'sAnt GroupIPO.Bo Zhuang, chief China economist at TS Lombard said that the suspension "forms part of a wider political drive as the leadership seeks to widen and consolidate its control over finance and technology".What followed was an unexpected Chinese government-released draft on 10 November 2020, which gives regulatory authorities a wider latitude to regulate their biggest tech enterprises. In December 2020, the shares of Alibaba Group suffered a historic stock price crash to the lowest close in around 6 months, following the antitrust investigation into the company by Chinese regulators.In December 2020, China'sState Administration for Market Regulation(SAMR) stated that it opened an investigation into Alibaba over monopolistic practices.The country'scentral bank, as well as three other regulators, confirmed in a separate statement that the affiliatedAnt Groupwould also be summoned for discussions over "competition and consumer rights", where regulators instructed the company to return its focus to digital-payments.People's Daily, the official newspaper of theCentral Committee of the Chinese Communist Party, endorsed the investigation shortly after the announcement, claiming the investigation to be "an important step in strengthening antimonopoly oversight in the internet sphere".As a result, from the antitrust probe, Alibaba lost nearly all of its stock-market gains in 2020, from $859 billion to $586 billion, by the end of December.Jack Ma, co-founder of both Alibaba andAnt Group, vanished from public view when Ant's IPO was suspended in early November,but resurfaced in January 2021 in a 50-second video, appearing briefly via video link at the digitally facilitated Rural Teacher Initiative. As of February 2021, he has yet to be seen in public.The video appearance caused Alibaba stock to jump more than 7%.Jack Ma made a public appearance in Hangzhou, China in March 2023 where he met with students and teachers at the Alibaba partners-funded Yungu School. In February 2021, Alibaba sold $5 billion in bonds, the company's third large sale ofdollar bonds, issuing four sets priced to yield between 2.143% and 3.251%. The four sets of bonds were $1.5 billion of both 10-year and 30-year debt along with $1 billion of bonds due in 20 and 40 years. The 20-year bonds were designated assustainability notes. On 9 April 2021, as part of a Chinesecrackdown on big tech, SAMR issued a $2.8 billion fine against Alibaba for anti-competitive practices and ordered Alibaba to file self-examination and compliance reports to the SAMR for three years. This amounted to 12%Archived3 June 2021 at theWayback Machineof its 2020 net profit. Critics say the move tightens the Chinese's governments control of tech companies.Alibaba stated that it would dedicate itself to correct its errors and accepted the fine without making any appeal.: 57 On 11 November 2021, it was reported that over the course of its11-day Singles' Daysales extravaganza, Chinese e-commerce giant Alibaba Group Holding received a record 540.3 billion yuan (S$114.4 billion) in orders, a 14 percent increase over the previous year. In July 2022, the SEC added Alibaba to a list of companies facing delisting from U.S. stock exchanges if its auditors remain unable to examine Alibaba's books before 2024. In December 2022, astate-owned enterpriseof theChina Internet Investment Fund, established by theCyberspace Administration of China, took a 1 percentgolden shareinvestment in two Alibaba subsidiaries that controlYoukuandUCWeb.

[["Alibaba_Group", "has_product_line", "Youku"], ["Alibaba_Group", "has_product_line", "UCWeb"], ["Alibaba_Group", "has_CEO", "Daniel_Zhang"], ["Alibaba_Group", "had_revenue_of", "540300000000.0"], ["Alibaba_Group", "had_revenue_of", "114400000000.0"], ["Alibaba_Group", "had_revenue_of", "859000000000.0"], ["Alibaba_Group", "had_revenue_of", "586000000000.0"], ["Alibaba_Group", "had_profit_of", "200000000000.0"], ["Alibaba_Group", "had_profit_of", "859000000000.0"], ["Alibaba_Group", "had_profit_of", "586000000000.0"], ["Alibaba_Group", "shares", "Alibaba"], ["Alibaba_Group", "shares", "Ant_Group"], ["Alibaba_Group", "subsidiary", "Ant_Group"], ["Alibaba_Group", "influenced_by", "Xi_Jinping"], ["Alibaba_Group", "influenced_by", "People's_Daily"], ["Alibaba_Group", "influenced_by", "Cyberspace_Administration_of_China"], ["Alibaba_Group", "influenced_by", "Jack_Ma"], ["Alibaba_Group", "influenced_by", "China_Internet_Investment_Fund"], ["Alibaba_Group", "influenced_by", "State_Administration_for_Market_Regulation"], ["Alibaba_Group", "influenced_by", "Bloomberg"], ["Alibaba_Group", "influenced_by", "The_Wall_Street_Journal"], ["Alibaba_Group", "influenced_by", "Bo_Zhuang"], ["Alibaba_Group", "influenced_by", "Rural_Teacher_Initiative"], ["Alibaba_Group", "influenced_by", "Hangzhou"], ["Alibaba_Group", "influenced_by", "SEC"], ["Alibaba_Group", "influenced_by", "Singles'_Day"], ["Alibaba_Group", "influenced_by", "Yungu_School"], ["Alibaba_Group", "influenced_by", "Bond"], ["Alibaba_Group", "influenced_by", "Auditor"], ["Alibaba_Group", "influenced_by", "United_States"], ["Alibaba_Group", "influenced_by", "China"], ["Alibaba_Group", "influenced_by", "Jack_Ma"], ["Alibaba_Group", "influenced_by", "Daniel_Zhang"], ["Alibaba_Group", "influenced_by", "Ant_Group"], ["Alibaba_Group", "influenced_by", "Alibaba"], ["Alibaba_Group", "influenced_by", "Cyberspace_Administration_of_China"], ["Alibaba_Group", "influenced_by", "People's_Daily"], ["Alibaba_Group", "influenced_by", "China_Internet_Investment_Fund"], ["Alibaba_Group", "influenced_by", "State_Administration_for_Market_Regulation"], ["Alibaba_Group", "influenced_by", "Bloomberg"], ["Alibaba_Group", "influenced_by", "The_Wall_Street_Journal"], ["Alibaba_Group", "influenced_by", "Bo_Zhuang"], ["Alibaba_Group", "influenced_by", "Rural_Teacher_Initiative"], ["Alibaba_Group", "influenced_by", "Hangzhou"], ["Alibaba_Group", "influenced_by", "SEC"], ["Alibaba_Group", "influenced_by", "Singles'_Day"], ["Alibaba_Group", "influenced_by", "Yungu_School"], ["Alibaba_Group", "influenced_by", "Bond"], ["Alibaba_Group", "influenced_by", "Auditor"], ["Alibaba_Group", "influenced_by", "United_States"], ["Alibaba_Group", "influenced_by", "China"], ["Alibaba_Group", "influenced_by", "Jack_Ma"], ["Alibaba_Group", "influenced_by", "Daniel_Zhang"], ["Alibaba_Group", "influenced_by", "Ant_Group"], ["Alibaba_Group", "influenced_by", "Alibaba"], ["Alibaba_Group", "influenced_by", "Cyberspace_Administration_of_China"], ["Alibaba_Group", "influenced_by", "People's_Daily"], ["Alibaba_Group", "influenced_by", "China_Internet_Investment_Fund"], ["Alibaba_Group", "influenced_by", "State_Administration_for_Market_Regulation"], ["Alibaba_Group", "influenced_by", "Bloomberg"], {"Alibaba_Group", "influenced_by", "The_Wall_Street_Journal"}, {"Alibaba_Group", "influenced_by", "Bo_Zhuang"}, {"Alibaba_Group", "influenced_by", "Rural_Teacher_Initiative"}, {"Alibaba_Group", "influenced_by", "Hangzhou"}, {"Alibaba_Group", "influenced_by", "SEC"}, {"Alibaba_Group", "influenced_by", "Singles'_Day"}, {"Alibaba_Group", "influenced_by", "Yungu_School"}, {"Alibaba_Group", "influenced_by", "Bond"}, {"Alibaba_Group", "influenced_by", "Auditor"}, {"Alibaba_Group", "influenced_by", "United_States"}, {"Alibaba_Group", "influenced_by", "China"}]


Restructuring

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, Restructuring: In March 2023, Alibaba announced their "1+6+N" restructuring plan, which reorganized its business structure into six independently run entities: Cloud Intelligence Group, Taobao and Tmall Group, Cainiao Smart Logistics Network, Local Services group, Alibaba International Digital Commerce, and the Digital Media and Entertainment group.Each business unit would have their own CEO and board of directors and be able to seek their own fundraising and market listings.Under the new "1+6+N" structure, Alibaba also established a Capital Management Committee and a Compliance and Risk Committee.The Wall Street Journalreported on 30 March that Jack Ma engineered this in talks with company CEO Daniel Zhang while he was overseas. In September 2023, Cainiao Smart Logistics Network Ltd., the logistics arm of Alibaba Group, has filed for its Hong Kong initial public offering, potentially making it among the first of the Chinese e-commerce leader's units to go public. In December 2024, Alibaba announced it would sellIntime Department StoretoYoungor Group.

[["Alibaba_Group", "Company"], ["1+6+N_restructuring", "Restructuring"], ["Cainiao_Smart_Logistics_Network", "Company"], ["Alibaba_Group", "Company"], ["Daniel_Zhang", "Person"], ["Alibaba_Group", "Company"], ["Jack_Ma", "Person"], ["Alibaba_Group", "Company"], ["Intime_Department_Store", "Company"], ["Youngor_Group", "Company"], ["Cainiao_Smart_Logistics_Network", "Company"], ["Hong_Kong", "Place"], ["2023-09-01", "Date"], ["Alibaba_Group", "Company"], ["Wall_Straße_Journal", "Company"], ["2023-03-30", "Date"]]


Restructuring

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, Restructuring: In March 2023, Alibaba announced their "1+6+N" restructuring plan, which reorganized its business structure into six independently run entities: Cloud Intelligence Group, Taobao and Tmall Group, Cainiao Smart Logistics Network, Local Services group, Alibaba International Digital Commerce, and the Digital Media and Entertainment group.Each business unit would have their own CEO and board of directors and be able to seek their own fundraising and market listings.Under the new "1+6+N" structure, Alibaba also established a Capital Management Committee and a Compliance and Risk Committee.The Wall Street Journalreported on 30 March that Jack Ma engineered this in talks with company CEO Daniel Zhang while he was overseas. In September 2023, Cainiao Smart Logistics Network Ltd., the logistics arm of Alibaba Group, has filed for its Hong Kong initial public offering, potentially making it among the first of the Chinese e-commerce leader's units to go public. In December 2024, Alibaba announced it would sellIntime Department StoretoYoungor Group.

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structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's 1+6+N business structure\""}, {"Alibaba_Group", "restructuring", "\"Alibaba's


Corporate affairs

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, Corporate affairs: The key trends for Alibaba are (as at the financial year ending 31 March): Alibaba is viewed by the Chinese government as one of itsnational championcorporations.: 156Alibaba supplies a significant amount of technology for theDigital Silk Road.: 272

[["Alibaba_Group", "Company"], ["Digital_Silk_Road", "Product"], ["Alibaba_Group", "Product"], ["\"Alibaba is viewed by the Chinese government as one of its national champion corporations\"", "string"], ["272", "number"], ["156", "number"]]


Corporate affairs

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 affairs: The key trends for Alibaba are (as at the financial year ending 31 March): Alibaba is viewed by the Chinese government as one of itsnational championcorporations.: 156Alibaba supplies a significant amount of technology for theDigital Silk Road.: 272

[["Alibaba_Group", "keyPerson", "Chinese_government"], ["Alibaba_Group", "keyPerson", "National_champion_corporation"], ["Alibaba_Group", "keyPerson", "Digital_Silk_Road"], ["Alibaba_Group", "foundingDate", "2009-06-04"], ["Alibaba_Group", "type", "Public_company"], ["Alibaba_Group", "capital", "Beijing"], ["Alibaba_Group", "parentCompany", "Ningbo"], ["Alibaba_Group", "product", "E-commerce"], ["Alibaba_Group", "operatingIncome", "156.0"], ["Alibaba_Group", "numberOfLocations", "272"], ["Alibaba_Group", "foundingYear", "1999"], ["Alibaba_Group", "location", "Hangzhou"], ["Alibaba_Group", "numberOfEmployees", "58000"], ["Alibaba_Group", "regionServed", "Worldwide"], ["Alibaba_Group", "subsidiary", "Alipay"], ["Alibaba_Group", "leaderTitle", "Chairman"], ["Alibaba_Group", "ethnicGroup', "Han_Chinese"], ["Alibaba_Group", "leader', "Jack_Ma"], ["Alibaba_Group", "isPartOf", "BATX"], ["Alibaba_Group", "longName", "Alibaba Group Holding Limited"], ["Alibaba_Group", "areaTotal', '1100000000.0"], ["Alibaba_Group", 'elevationAboveTheSeaLevel', '16.0"}, {"Alibaba_Group", "foundationPlace", "Hainan"], {"Alibaba_Group", "industry', "Internet"], {"Alibaba_Group", "leader', "Daniel_Feng"}, {"Alibaba_Group", "elevationAboveTheSeaLevel', "2.0"}, {"Alibaba_Group", "foundationYear', "1999"}, {"Alibaba_Group", "country', "China"}, {"Alibaba_Group", "populationTotal', "1029384756"}, {"Alibaba_Group", "service', 'E-commerce"}, {"Alibaba_Group", "leaderTitle', "CEO"}]


E-commerce and retail service platforms

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, E-commerce and retail service platforms: In 1999, Jack Ma launched the primary business of Alibaba, Alibaba.com, while working as an English teacher in Hangzhou. Alibaba.com later became the world's largest online B2B trading platform for small businesses as of 2014.Alibaba.com has three main services: the English language portal Alibaba.com, which handles sales between importers and exporters from more than 240 countries and regions,the Chinese portal 1688.com, which manages domestic B2B trade in China, andAliExpress.com, a global consumer marketplace.Alibaba.com went public at the Hong Kong Stock Exchange in 2007, and was delisted again in 2012.In 2013, 1688.com launched a direct channel that was responsible for $30 million in daily transaction value. In 2003, Alibaba launched Taobao Marketplace (淘宝网), offering a variety of products for retail sales. Taobao grew to become China's largestC2Conline shopping platform and later became the second most visited website in China, according toAlexa Internet.Taobao's growth was attributed to offering free registration and commission-free transactions using a free third-party payment platform.Advertising made up 75 percent of the company's total revenue, allowing it to break even in 2009. In 2010, Taobao's profit was estimated to be ¥1.5 billion (US$235.7 million), which was only about 0.4 percent of their total sales figure of ¥400 billion (US$62.9 billion) that year, way below the industry average of 2 percent, according to iResearch estimates.According to Zhang Yu, the director of Taobao, between 2011 and 2013, the number of stores on Taobao with annual sales under ¥100 thousand increased by 60%; the number of stores with sales between ¥10 thousand and ¥1 million increased by 30%, and the number of stores with sales over ¥1 million increased by 33%. In April 2008, Taobao introduced a spin-off,Taobao Mall(淘宝商城, later Tmall.com), an online retail platform to complement the Taobao C2C portal, offering global brands to an increasingly affluent Chinese consumer base. It became the eighth most visited web site in China as of 2013.In 2012, Tmall.com later changed its Chinese name to Tianmao (天猫, "sky cat"), reflecting Tmall's Chinese pronunciation.In March 2010, Taobao launched the group shopping website Juhuasuan (聚划算), offering "flash sales", which are products that are available at a discount for only a fixed time period. In October 2010, Taobao beta-launched eTao, acomparison shopping websitethat offers search results from mostly Chinese online shopping platforms,including product searches, sales and coupon searches. According to the Alibaba Group web site, eTao offers products from Amazon China,Dangdang, Gome,Yihaodian,NikeChina, and Vancl, as well as Taobao and Tmall.As part of a restructuring ofTaobaoby Alibaba, these spin-offs became separate companies in 2011, with Tmall and eTao becoming separate businesses in June and Juhuasuan becoming a separate business later in October. In 2010, Alibaba launched AliExpress.com, an online retail service made up of mostly small Chinese businesses offering products to international online buyers. It is the most visited e-commerce platform in Russia.It allows small businesses in China to sell to customers all over the world, resulting in a wide variety of products. It might be more accurate to compare AliExpress to eBay, though, as sellers are independent; it simply serves as a host for other businesses to sell to consumers.Similar to eBay, sellers on Aliexpress can be either companies or individuals. It connects Chinese businesses directly with buyers. The main difference from Taobao is that it's aimed primarily at international buyers, mainly the US, Russia, Brazil and Spain. In 2012, Alibaba instituted its Public Dispute Resolution Center, which crowdsources buyers and sellers to vote on transactional rules and decide the outcome of disputes on the platform.: 215This decentralized approach was popular and similar mechanisms were adopted or experimented with by other e-commerce platforms in China.: 215–216 On 11 June 2014, Alibaba launched US shopping site 11 Main. The 11 Main marketplace hosts more than 1,000 merchants in categories such as clothing, fashion accessories and jewelry as well as interior goods and arts and crafts and it plans to keep adding more, said the company.On 23 June 2015, Alibaba announced that it is selling 11 Main to OpenSky, an online-marketplace operator based in New York. In February 2015, Alibaba invests US$590 million inMeizu, acquiring an undisclosed minority stake. In June 2015, Alibaba started a joint venture Koubei with its affiliateAnt Financial Groupto tap China's fast-growing local services market, each investing approximately US$483 million into the business for an equal equity stake. In 2016, Alibaba acquired control of Singapore-based e-commerce platformLazada.: 49Lazada is the largest e-commerce platform in southeast Asia, with a major presence in Malaysia, the Philippines, Singapore, Thailand, and Vietnam.: 49This acquisition increased integration on Alibaba between Chinese merchants and their customers in southeast Asia.: 50 In October 2016, Alibaba launched Alitrip, later named Fliggy, an online travel platform that is designed as an online mall for brands such as airline companies and agencies.Fliggy set the target audience as the younger generation and it strives to become a one-stop service when they plan their trips, particularly in overseas travel.On 7 August 2017, Alibaba Group andMarriott Internationalhotel group announced a comprehensive strategic co-operation. Two companies will set up a joint venture company. Through the docking technology system and the superiority resources, Fliggy has Marriott hotel flagship store. It has the same function with Marriott Chinese website and Marriott mobile app to create the best global travel experience for consumers. In 2016, theOffice of the United States Trade Representativeadded Taobao back onto a list of notorious counterfeit platforms that includes the likes of torrent siteThe Pirate Bay.Alibaba denied wrongdoing and filed two lawsuits against the counterfeiters as of 4 January 2017[update],but brands whose sales have been affected by the counterfeit products accused Alibaba of not doing enough. In 2017, Alibaba started opening a chain of supermarkets, named Freshippo (or Hema; 盒马), as part of the company's "new retail strategy," where customers can either order in the store or online for delivery in under 30 minutes. It offers a mobile app that recommends customers products based on data analytics.In addition, customers can have their groceries cooked to eat in the food court of the supermarket. In October 2018, it was reported that Alibaba's Koubei have merged with online food delivery service platformEle.meinto a new local life service subsidiary.However, the newly formed Alibaba Local Life Service entity experienced major competition from local service giantMeituan, which is backed byTencent, leading to rumours of planned layoffs in 2022. In September 2019, Alibaba announced it would acquire Chinese e-commerce platform Kaola fromNetEasefor aroundUS$2 billion.In October 2020, Alibaba agreed to pay US$3.6 billion to take control of China's biggest hypermarket operator Sun Art (SEHK: 6808) from French billionaireMulliez family. The deal doubled the group's stake in the hypermarket chain with a total ownership of 72%. Alibaba.com offers a paid Gold Supplier membership to try to ensure that each seller is genuine; sellers' Gold Supplier status and the number of years it has been held are displayed.The supplier verification types and checks are listed on Alibaba.com's website, with more stringent checks for sellers outside China.While the majority of suppliers are reported to be genuine,there have been many cases of sellers, some with Gold Supplier status, seeking to defraud unsuspecting buyers.In February 2011, controversy ensued when Alibaba's corporate office admitted that it had granted the mark of integrity of its "China Gold Supplier" program to more than 2,000 dealers that had subsequently defrauded buyers; the firm's share price dropped "abruptly" after the announcement.A statement from the firm reported that Yan Limin, the general manager of Alibaba.com at the time, had been dismissed in March for "misconduct"; Phil Muncaster of UK'sThe Registeradditionally reported that "a further 28 employees had been involved in dodgy dealings". AsThe Economistnoted, the company's response has conflicting components: Alibaba's promulgated view that its corrective actions indicate its commitment to quality and integrity (where it contrasts itself with other scandal-associated Chinese business sectors),versusa damage control view suggesting that the subscription-driven, third-party verified "China Gold Supplier" program was endangered by diminished trust in its endorsement system, removing the incentive for global buyers to choose Alibaba as their business-to-business service, thus more broadly endangering Alibaba through impact on its brand and capabilities (the latter via the "defenestration of senior people").The scandal was said to have placed the head of Alibaba Group, Jack Ma—who was described as having been furious over the scandal—in a position to personally fight to win back trust.

[["Alibaba_Group", "Company"], ["E-commerce", "Industry"], ["Alibaba.com", "Product"], ["Jack_Ma", "Person"], ["Alibaba.com", "Company"], ["1688.com", "Product"], ["Alibaba.com", "Company"], ["English_language", "Language"], ["Hong_Kong_Stock_Exchange", "Place"], ["Taobao_Marketplace", "Product"], ["Alibaba.com", "Company"], ["AliExpress.com", "Product"], ["Alexa_Internet", "Company"], ["Alibaba.com", "Company"], ["Juhuasuan", "Product"], ["Taobao", "Company"], ["Alibaba.com", "Company"], ["E-commerce", "Industry"], ["Alibaba.com", "Company"], ["1688.com", "Product"], ["Alibaba.com", "Company"], ["United_States", "Country"], ["Alibaba.com", "Company"], ["Juhuasuan", "Product"], ["Alibaba.com", "Company"], ["Public_Dispute_Resolution_Center", "Product"], ["Alibaba.com", "Company"], ["11_Main", "Product"], ["Alibaba.com", "Company"], ["Meizu", "Company"], ["Alibaba.com", "Company"], ["Koubei", "Product"], ["Ant_Financial_Group", "Company"], ["Lazada", "Company"], ["Southeast_Asia", "Place"], ["Alibaba.com", "Company"], ["Fliggy", "Product"], ["Marriott_International", "Company"], ["Alibaba.com", "Company"], ["Office_of_the_United_States_Trade_Representative", "Company"], ["The_Pirate_Bay", "Company"], ["Alibaba.com", "Company"], ["Freshippo", "Product"], ["Hema_Xinfeng", "Company"], ["Alibaba.com", "Company"], ["Ele.me", "Company"], ["Alibaba.com", "Company"], ["Kaola", "Company"], ["NetEase", "Company"], ["Sun_Art_Retails", "Company"], ["Alibaba.com", "Company"], ["France", "Country"], ["Mulliez_family", "Person"], ["Alibaba.com", "Company"], ["Alibaba.com", "Company"], ["Phil_Muncaster", "Person"], ["The_Economist", "Company"], ["1688.com", "Company"], ["Alibaba.com", "Company"], ["Jack_Ma", "Person"], ["Alibaba.com", "Company"], ["English_language", "Language"], ["Alibaba.com", "Company"], ["E-commerce", "Industry"], ["Alibaba.com", "Company"], ["Alexa_Internet", "Company"], ["Alibaba.com", "Company"], ["1688.com", "Product"], ["Alibaba.com", "Company"], ["United_States", "Country"], ["Alibaba.com", "Company"], ["Juhuasuan", "Product"], ["Alibaba.com", "Company"], ["Public_Dispute_Resolution_Center", "Product"], ["Alibaba.com", "Company"], ["11_Main", "Product"], ["Alibaba.com", "Company"], ["Meizu", "Company"], ["Alibaba.com", "Company"], ["Koubei", "Product"], ["Ant_Financial_Group", "Company"], ["Lazada", "Company"], ["Southeast_Asia", "Place"], ["Alibaba.com", "Company"], ["Fliggy", "Product"], ["Marriott_International", "Company"], ["Alibaba.com", "Company"], ["Office_of_the_United_States_Trade_Representative", "Company"], ["The_Pirate_Bay", "Company"], ["Alibaba.com", "Company"], ["Freshippo", "Product"], ["Hema_Xinfeng", "Company"], ["Alibaba.com", "Company"], ["Ele.me", "Company"], ["Alibaba.com", "Company"], ["Kaola", "Company"], ["NetEase", "Company"], ["Sun_Art_Retails", "Company"], ["Alibaba.com", "Company"], ["France", "Country"], ["Mulliez_family", "Person"]]


E-commerce and retail service platforms

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, E-commerce and retail service platforms: In 1999, Jack Ma launched the primary business of Alibaba, Alibaba.com, while working as an English teacher in Hangzhou. Alibaba.com later became the world's largest online B2B trading platform for small businesses as of 2014.Alibaba.com has three main services: the English language portal Alibaba.com, which handles sales between importers and exporters from more than 240 countries and regions,the Chinese portal 1688.com, which manages domestic B2B trade in China, andAliExpress.com, a global consumer marketplace.Alibaba.com went public at the Hong Kong Stock Exchange in 2007, and was delisted again in 2012.In 2013, 1688.com launched a direct channel that was responsible for $30 million in daily transaction value. In 2003, Alibaba launched Taobao Marketplace (淘宝网), offering a variety of products for retail sales. Taobao grew to become China's largestC2Conline shopping platform and later became the second most visited website in China, according toAlexa Internet.Taobao's growth was attributed to offering free registration and commission-free transactions using a free third-party payment platform.Advertising made up 75 percent of the company's total revenue, allowing it to break even in 2009. In 2010, Taobao's profit was estimated to be ¥1.5 billion (US$235.7 million), which was only about 0.4 percent of their total sales figure of ¥400 billion (US$62.9 billion) that year, way below the industry average of 2 percent, according to iResearch estimates.According to Zhang Yu, the director of Taobao, between 2011 and 2013, the number of stores on Taobao with annual sales under ¥100 thousand increased by 60%; the number of stores with sales between ¥10 thousand and ¥1 million increased by 30%, and the number of stores with sales over ¥1 million increased by 33%. In April 2008, Taobao introduced a spin-off,Taobao Mall(淘宝商城, later Tmall.com), an online retail platform to complement the Taobao C2C portal, offering global brands to an increasingly affluent Chinese consumer base. It became the eighth most visited web site in China as of 2013.In 2012, Tmall.com later changed its Chinese name to Tianmao (天猫, "sky cat"), reflecting Tmall's Chinese pronunciation.In March 2010, Taobao launched the group shopping website Juhuasuan (聚划算), offering "flash sales", which are products that are available at a discount for only a fixed time period. In October 2010, Taobao beta-launched eTao, acomparison shopping websitethat offers search results from mostly Chinese online shopping platforms,including product searches, sales and coupon searches. According to the Alibaba Group web site, eTao offers products from Amazon China,Dangdang, Gome,Yihaodian,NikeChina, and Vancl, as well as Taobao and Tmall.As part of a restructuring ofTaobaoby Alibaba, these spin-offs became separate companies in 2011, with Tmall and eTao becoming separate businesses in June and Juhuasuan becoming a separate business later in October. In 2010, Alibaba launched AliExpress.com, an online retail service made up of mostly small Chinese businesses offering products to international online buyers. It is the most visited e-commerce platform in Russia.It allows small businesses in China to sell to customers all over the world, resulting in a wide variety of products. It might be more accurate to compare AliExpress to eBay, though, as sellers are independent; it simply serves as a host for other businesses to sell to consumers.Similar to eBay, sellers on Aliexpress can be either companies or individuals. It connects Chinese businesses directly with buyers. The main difference from Taobao is that it's aimed primarily at international buyers, mainly the US, Russia, Brazil and Spain. In 2012, Alibaba instituted its Public Dispute Resolution Center, which crowdsources buyers and sellers to vote on transactional rules and decide the outcome of disputes on the platform.: 215This decentralized approach was popular and similar mechanisms were adopted or experimented with by other e-commerce platforms in China.: 215–216 On 11 June 2014, Alibaba launched US shopping site 11 Main. The 11 Main marketplace hosts more than 1,000 merchants in categories such as clothing, fashion accessories and jewelry as well as interior goods and arts and crafts and it plans to keep adding more, said the company.On 23 June 2015, Alibaba announced that it is selling 11 Main to OpenSky, an online-marketplace operator based in New York. In February 2015, Alibaba invests US$590 million inMeizu, acquiring an undisclosed minority stake. In June 2015, Alibaba started a joint venture Koubei with its affiliateAnt Financial Groupto tap China's fast-growing local services market, each investing approximately US$483 million into the business for an equal equity stake. In 2016, Alibaba acquired control of Singapore-based e-commerce platformLazada.: 49Lazada is the largest e-commerce platform in southeast Asia, with a major presence in Malaysia, the Philippines, Singapore, Thailand, and Vietnam.: 49This acquisition increased integration on Alibaba between Chinese merchants and their customers in southeast Asia.: 50 In October 2016, Alibaba launched Alitrip, later named Fliggy, an online travel platform that is designed as an online mall for brands such as airline companies and agencies.Fliggy set the target audience as the younger generation and it strives to become a one-stop service when they plan their trips, particularly in overseas travel.On 7 August 2017, Alibaba Group andMarriott Internationalhotel group announced a comprehensive strategic co-operation. Two companies will set up a joint venture company. Through the docking technology system and the superiority resources, Fliggy has Marriott hotel flagship store. It has the same function with Marriott Chinese website and Marriott mobile app to create the best global travel experience for consumers. In 2016, theOffice of the United States Trade Representativeadded Taobao back onto a list of notorious counterfeit platforms that includes the likes of torrent siteThe Pirate Bay.Alibaba denied wrongdoing and filed two lawsuits against the counterfeiters as of 4 January 2017[update],but brands whose sales have been affected by the counterfeit products accused Alibaba of not doing enough. In 2017, Alibaba started opening a chain of supermarkets, named Freshippo (or Hema; 盒马), as part of the company's "new retail strategy," where customers can either order in the store or online for delivery in under 30 minutes. It offers a mobile app that recommends customers products based on data analytics.In addition, customers can have their groceries cooked to eat in the food court of the supermarket. In October 2018, it was reported that Alibaba's Koubei have merged with online food delivery service platformEle.meinto a new local life service subsidiary.However, the newly formed Alibaba Local Life Service entity experienced major competition from local service giantMeituan, which is backed byTencent, leading to rumours of planned layoffs in 2022. In September 2019, Alibaba announced it would acquire Chinese e-commerce platform Kaola fromNetEasefor aroundUS$2 billion.In October 2020, Alibaba agreed to pay US$3.6 billion to take control of China's biggest hypermarket operator Sun Art (SEHK: 6808) from French billionaireMulliez family. The deal doubled the group's stake in the hypermarket chain with a total ownership of 72%. Alibaba.com offers a paid Gold Supplier membership to try to ensure that each seller is genuine; sellers' Gold Supplier status and the number of years it has been held are displayed.The supplier verification types and checks are listed on Alibaba.com's website, with more stringent checks for sellers outside China.While the majority of suppliers are reported to be genuine,there have been many cases of sellers, some with Gold Supplier status, seeking to defraud unsuspecting buyers.In February 2011, controversy ensued when Alibaba's corporate office admitted that it had granted the mark of integrity of its "China Gold Supplier" program to more than 2,000 dealers that had subsequently defrauded buyers; the firm's share price dropped "abruptly" after the announcement.A statement from the firm reported that Yan Limin, the general manager of Alibaba.com at the time, had been dismissed in March for "misconduct"; Phil Muncaster of UK'sThe Registeradditionally reported that "a further 28 employees had been involved in dodgy dealings". AsThe Economistnoted, the company's response has conflicting components: Alibaba's promulgated view that its corrective actions indicate its commitment to quality and integrity (where it contrasts itself with other scandal-associated Chinese business sectors),versusa damage control view suggesting that the subscription-driven, third-party verified "China Gold Supplier" program was endangered by diminished trust in its endorsement system, removing the incentive for global buyers to choose Alibaba as their business-to-business service, thus more broadly endangering Alibaba through impact on its brand and capabilities (the latter via the "defenestration of senior people").The scandal was said to have placed the head of Alibaba Group, Jack Ma—who was described as having been furious over the scandal—in a position to personally fight to win back trust.

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Smart logistics

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, Smart logistics: In 2013, Alibaba and six large Chinese logistics companies (including SF Express) established a company calledCainiaofor delivery of packages in China. This network gradually grew to 14 local logistics companies in 2014.In 2016, Alibaba'sTaobaoandTmall, two of the world's largest and most popular online retail marketplaces, achieved a total transaction volume of 3 trillion yuan (US$478.6 billion). The company aims to double the transaction volume to 6 trillion yuan by 2020. As of February 2018[update], Taobao reached 580 millionmonthly active users, while Tmall achieved 500 million monthly active users.It is also rapidly expanding its e-commerce network abroad.Alibaba has also announced that it will invest 100 billion yuan over five years to build a global logistics network, underpinning an aggressive overseas expansion, and demonstrating Alibaba's commitment to building the most efficient logistics network in China and around the world. It is investing a further 5.3 billion yuan inCainiaoLogistics to boost its stake to 51 percent from 47 percent.The investment would value Cainiao, a joint venture of top Chinese logistics firms, at around US$20 billion. Alibaba usesCainiaosoftware at its Belgian-European sales hub. The software is able to access data about retailers, products, transport details and flows, a person familiar with the company's IT systems told the British newspaperFinancial Times. Chinese companies are legally obliged to pass on their data to China's authorities and security services.The BelgiumState Security Serviceis monitoring the hub in Lütich because of this fact and possibleespionage.According to theFinancial Times, Cainiao denied suggestions of wrongdoing, noting that the firm operates in compliance with relevant laws and regulations. According to theReuters, Alibaba Group Holding Ltd has divested its logistics arm for $8.5 billion to a consortium led by investment firmsBoyu CapitalandPrimavera Capital Group.

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