Metro AG

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: Metro_AG, Metro AG: Metro AGis a Germanmultinationalcompany based inDüsseldorfwhich operates business membership-onlycash and carrystores primarily under the Metro brand.As of March 2024[update], Metro is operating 626 wholesale stores in 21 countries. The company was established in 1964 by Ernst Schmidt andWilhelm Schmidt-Ruthenbeck. In 2010, it was the fourth-largest retailer in the world measured by revenues, afterWalmart,CarrefourandTesco.Until 2020, it was also active in the general retail business through theRealdivision, which was sold to an investor consortium. Its current incarnation was launched in 2017 as a spun-off of old Metro AG, which continued to be a consumer electronics retailer and renamed itself Ceconomy.

[
    "Q169167 - METRO AG: German wholesale company",
    "Q11283062 - Metro Agua Salud: metro station in Caracas, Venezuela",
    "Q8191806 - Agrícola Oriental: metro station in Mexico City",
    "Q128289364 - Metro AG — Konzernabschluss zum 30.9.2018: scholarly article"
]

[
    "Q183 - Germany: country in Central Europe",
    "Q1206012 - German Reich: official name for the German nation state from 1871 to 1945, and name of Germany until 1949",
    "Q41304 - Weimar Republic: Germany in the years 1918/1919–1933",
    "Q37444958 - Germany: family name",
    "Q133933103 - Germany: male given name"
]

[
    "Q1718 - Düsseldorf: capital city of the German federated state of North Rhine-Westphalia",
    "Q255951 - Düsseldorf Central Station: Rhine-Ruhr S-Bahn station",
    "Q58226 - Düsseldorf Airport: international airport of Düsseldorf",
    "Q322886 - Hochschule Düsseldorf: German educational institution",
    "Q7926 - Düsseldorf Government Region: government region of North Rhine-Westphalia, Germany"
]

[
    "Q602854 - Stitch: fictional extraterrestrial character from Disney's Lilo & Stitch franchise",
    "Q257560 - 626: natural number",
    "Q31052 - 626: year",
    "Q155962 - 626 Notburga: main-belt asteroid",
    "Q555901 - 6263 Druckmüller: main belt minor planet."
]

[
    "Q220695 - wholesale: sale of goods or merchandise to retailers or other wholesalers rather than end consumers",
    "Q18242306 - wholesaler: profession",
    "Q12310153 - wholesaler: person who works in wholesale trade",
    "Q112165695 - Wholesale trade (business-to-business) of clothing and footwear: economic activity defined by the nomenclature of French activities rev. 2",
    "Q4498092 - wholesale bakery: industrial facility that manufactures baked goods and sells them at wholesale"
]

[
    "Q160236 - Metropolitan Museum of Art: art museum in New York City, United States",
    "Q8158 - Metro: city in Lampung Province, Indonesia",
    "Q35 - Denmark: country in Northern Europe and North America",
    "Q1148750 - Metro: internal code name of a typography-based design language",
    "Q179200 - Metro-Goldwyn-Mayer: American film and television and distribution company"
]

[
    "Q217599 - Carrefour: French hypermarket brand of the Carrefour Group",
    "Q16536228 - Carrefour: newspaper",
    "Q63891353 - Carrefour: sculpture on the Laval University campus",
    "Q986207 - Carrefour: city",
    "Q1044915 - Carrefour Pleyel: Paris Métro station"
]

[
    "Q109706 - Ernst Schmidt: German physicist (1892–1975)",
    "Q109662748 - Ernst Schmidt: None",
    "Q1360100 - Ernst Schmidt: German politician (1912-1955)",
    "Q106097128 - Ernst Schmidt: None",
    "Q107175067 - Ernst Schmidt: None"
]

[
    "Q483551 - Walmart: U.S. discount retailer based in Arkansas",
    "Q1645718 - Walmart Canada: Canadian division of Walmart",
    "Q18615334 - Walmart: 1320th strip of the webcomic xkcd",
    "Q22121904 - Walmart Nicaragua: None",
    "Q3180120 - Joe Martin Stage Race: cycling stage race held annually in Fayetteville, Arkansas"
]

[
    "Q188 - German: West Germanic language spoken mainly in Central Europe",
    "Q48183 - German Wikipedia: German-language edition of Wikipedia",
    "Q181287 - German-language literature: overview of German-language literature",
    "Q21200 - Germanic languages: branch of the Indo-European language family",
    "Q109647876 - German-language studies: discipline that studies German language and literature"
]

[
    "Q169167 - METRO AG: German wholesale company",
    "Q11283062 - Metro Agua Salud: metro station in Caracas, Venezuela",
    "Q8191806 - Agrícola Oriental: metro station in Mexico City",
    "Q128289364 - Metro AG — Konzernabschluss zum 30.9.2018: scholarly article"
]

[
    "Q712477 - 21: natural number",
    "Q87533178 - ㉑: Unicode character",
    "Q6939 - 21st century: current century",
    "Q155169 - 21: 2011 studio album by Adele",
    "Q23772 - 21: year"
]

[
    "Q28858523 - Ceconomy: company in Germany",
    "Q128193938 - Ceconomy AG — Konzernabschluss zum 30.9.2023: scholarly article",
    "Q128181916 - Ceconomy AG — Konzernabschluss zum 30.9.2018: scholarly article"
]

[
    "Q1488654 - Schmidt-Ruthenbeck: family"
]

[
    "Q1995 - 2010: calendar year",
    "Q851662 - 2010: natural number",
    "Q523716 - 2010 United States Census: national census of the United States taken in 2010",
    "Q92953148 - 2010 United States Census surname index: table of surnames with 100 or more occurrences in the 2010 US census",
    "Q107569809 - 2010 U.S. Gazetteer Files: geographical census data for regions in the United States"
]

[
    "Q202 - 4: natural number",
    "Q20970432 - 4:3: width (4) to height (3) aspect ratio, television and silent movie format",
    "Q9094478 - positive-sense single-stranded RNA virus: type of virus according to Baltimore: RNA viruses that have their genetic material encoded in the form of single-stranded, positive-sense RNA",
    "Q4602749 - 4: numerical digit",
    "Q62026367 - 4: Greek drama television series"
]

[
    "Q183 - Germany: country in Central Europe",
    "Q1206012 - German Reich: official name for the German nation state from 1871 to 1945, and name of Germany until 1949",
    "Q41304 - Weimar Republic: Germany in the years 1918/1919–1933",
    "Q37444958 - Germany: family name",
    "Q133933103 - Germany: male given name"
]

[
    "Q57397044 - December 31, 2020: date in the Gregorian calendar"
]

[
    "Q169167 - METRO AG: German wholesale company",
    "Q11283062 - Metro Agua Salud: metro station in Caracas, Venezuela",
    "Q8191806 - Agrícola Oriental: metro station in Mexico City",
    "Q128289364 - Metro AG — Konzernabschluss zum 30.9.2018: scholarly article"
]

[
    "Q160236 - Metropolitan Museum of Art: art museum in New York City, United States",
    "Q8158 - Metro: city in Lampung Province, Indonesia",
    "Q35 - Denmark: country in Northern Europe and North America",
    "Q1148750 - Metro: internal code name of a typography-based design language",
    "Q179200 - Metro-Goldwyn-Mayer: American film and television and distribution company"
]

[
    "Q160236 - Metropolitan Museum of Art: art museum in New York City, United States",
    "Q8158 - Metro: city in Lampung Province, Indonesia",
    "Q35 - Denmark: country in Northern Europe and North America",
    "Q1148750 - Metro: internal code name of a typography-based design language",
    "Q179200 - Metro-Goldwyn-Mayer: American film and television and distribution company"
]

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates


Metro AG

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: Metro_AG, Metro AG: Metro AGis a Germanmultinationalcompany based inDüsseldorfwhich operates business membership-onlycash and carrystores primarily under the Metro brand.As of March 2024[update], Metro is operating 626 wholesale stores in 21 countries. The company was established in 1964 by Ernst Schmidt andWilhelm Schmidt-Ruthenbeck. In 2010, it was the fourth-largest retailer in the world measured by revenues, afterWalmart,CarrefourandTesco.Until 2020, it was also active in the general retail business through theRealdivision, which was sold to an investor consortium. Its current incarnation was launched in 2017 as a spun-off of old Metro AG, which continued to be a consumer electronics retailer and renamed itself Ceconomy.

Metro_AG

Q169167 - METRO AG: German wholesale company

Q11283062 - Metro Agua Salud: metro station in Caracas, Venezuela

Q8191806 - Agrícola Oriental: metro station in Mexico City

Q128289364 - Metro AG — Konzernabschluss zum 30.9.2018: scholarly article

P355 - child organization/unit: child organization/unit or subsidiary of a company or organization/unit; generally a fully owned separate corporation. Compare with "business division" (P199). Opposite of parent organization/unit (P749).

P749 - parent organization: parent organization of an organization, opposite of subsidiaries (P355)

Metro_AG

P2541 - operating area: geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for

Q13780930 - worldwide: published or operating in multiple or all jurisdictions on Earth; special value for "place of publication" (P291) and "operating area" (P2541)

Q1072012 - internationality: something involving more than a single country

Q2654758 - Worldwide: 1991 studio album by Everything but the Girl

Q8036777 - Worldwide: Audio Adrenaline album

Metro_AG

P3342 - significant person: person linked to the item in any possible way

Q109706 - Ernst Schmidt: German physicist (1892–1975)

Q1360100 - Ernst Schmidt: German politician (1912-1955)

Metro_AG

Q15854542 - Wilhelm Schmidt-Ruthenbeck: German entrepreneur (1906-1988)

Metro_AG

P571 - inception: time when an entity begins to exist; for date of official opening use P1619

Q8420 - 1964 Summer Olympics: Games of the XVIII Olympiad, in Tokyo, Japan

Q9636 - 1964 Winter Olympics: 9th edition of Winter Olympics, Innsbruck, Austria

Metro_AG

P8368 - number of branches: number of branches or stores affiliated with a chain, brand or company

Q602854 - Stitch: fictional extraterrestrial character from Disney's Lilo & Stitch franchise

Q155962 - 626 Notburga: main-belt asteroid

Q555901 - 6263 Druckmüller: main belt minor planet.

Metro_AG

P31 - instance of: type to which this subject corresponds/belongs. Different from P279 (subclass of); for example: K2 is an instance of mountain; volcano is a subclass of mountain

P427 - taxonomic type: type genus or species: [in zoology:] nominal genus or species that is the name-bearing type of this nominal family or genus (or family-group ranked taxon or subgenus); type specimen that is the name-bearing type of this nominal species or subspecies

P2308 - class: qualifier to define a property constraint in combination with "property constraint" (P2302)

P105 - taxon rank: level in a taxonomic hierarchy

P279 - subclass of: this item is a subclass (subset) of that item; ALL instances of this item are instances of that item; different from P31 (instance of), e.g.: volcano is a subclass of mountain; Everest is an instance of mountain

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

Metro_AG

P22 - father: male parent of the subject. For stepfather, use "stepparent" (P3448)

P25 - mother: female parent of the subject. For stepmother, use "stepparent" (P3448)

P171 - parent taxon: closest parent taxon of the taxon in question

P40 - child: subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039)

Q28858523 - Ceconomy: company in Germany

Q128193938 - Ceconomy AG — Konzernabschluss zum 30.9.2023: scholarly article

Q128181916 - Ceconomy AG — Konzernabschluss zum 30.9.2018: scholarly article

Metro_AG

P2139 - total revenue: income gained by an organization during a given time frame. Not to be confused with fiscal revenue

P2770 - source of income: source of income of an organization or person

Metro_AG

P3362 - operating income: private entity operating income

Metro_AG

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

P304 - page(s): page number of source referenced for statement. Note "column(s)" (P3903) and "folio(s)" (P7416) for other numbering systems

Q1718 - Düsseldorf: capital city of the German federated state of North Rhine-Westphalia

Q255951 - Düsseldorf Central Station: Rhine-Ruhr S-Bahn station

Q58226 - Düsseldorf Airport: international airport of Düsseldorf

Q322886 - Hochschule Düsseldorf: German educational institution

Q7926 - Düsseldorf Government Region: government region of North Rhine-Westphalia, Germany

Metro_AG

P3342 - significant person: person linked to the item in any possible way

Metro_AG

P1056 - product or material produced: material or product, including services, produced or provided by an organization, industry, facility, or process

P176 - manufacturer: (main or final) manufacturer or producer of this product

P2079 - fabrication method: method, process or technique used to grow, cook, weave, build, assemble, manufacture the item

P272 - production company: company that produced this film, audio or performing arts work

P1071 - location of creation: place where the item was conceived or made; where applicable, location of final assembly

Metro_AG

P1128 - employees: total number of employees of a company at a given "point in time" (P585). Most recent data would generally have preferred rank; data for previous years normal rank (not deprecated rank). Add data for recent years, don't overwrite

Q135601481 - 83600: natural number
Q3599966 - 83600 Yuchunshun: asteroid

Metro_AG

Q8558 - 2004 Summer Olympics: Games of the XXVIII Olympiad, in Athens, Greece

Q28878253 - 2004 Moroccan census: census in Morocco

Q109719080 - 2004 Indonesian People's Representative Council election: None

Metro_AG

P36 - capital: seat of government of a country, province, state or other type of administrative territorial entity

P1376 - capital of: country, state, department, canton or other administrative division of which the municipality is the governmental seat

P2130 - capital cost: amount of money spent on building or producing an object

P6106 - uses capitalization for: lexical classes and subclasses of words as well as other uses in the language where the first letter is written as a capital letter

P2218 - net worth: totality of wealth possessed by a person

Metro_AG

Q13610282 - Metro Cash & Carry: international self-service wholesaler

Q117814984 - Metro Cash & Carry: Russian company

Q33093143 - METRO Cash & Carry International Holding: holding company

Q12770687 - METRO Cash & Carry Slovakia: Slovak wholesale company

Q111850935 - Metro Cash & Carry Bulgaria: company in Bulgaria

Metro_AG

Q484876 - chief executive officer: highest-ranking corporate officer

Q2684208 - Clinical and Experimental Otorhinolaryngology: open-access society journal

Q126726944 - CEO: 2024 music track by SCH

Q126693438 - CEO: 2022 early access video game

Metro_AG

P172 - ethnic group: subject's ethnicity (consensus is that a VERY high standard of proof is needed for this field to be used. In general this means 1) the subject claims it themselves, or 2) it is widely agreed on by scholars, or 3) is fictional and portrayed as such)

Q42884 - Germans: residents and citizens of Germany & people of German descent

Q41304 - Weimar Republic: Germany in the years 1918/1919–1933

Q316533 - German People's Party: German liberal political party

Q505829 - German People's Union: nationalist political party in Germany

Q202590 - German People's Party (1868): German political party

Metro_AG

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.

P1766 - place name sign: image of (road) sign with place name on it

P194 - legislative body: legislative body governing this entity; political institution with elected representatives, such as a parliament/legislature or council

P1408 - licensed to broadcast to: place that a radio/TV station is licensed/required to broadcast to

Q255951 - Düsseldorf Central Station: Rhine-Ruhr S-Bahn station

Q58226 - Düsseldorf Airport: international airport of Düsseldorf

Q322886 - Hochschule Düsseldorf: German educational institution

Metro_AG

P452 - industry: specific industry of company or organization

Q126793 - retail: sale of goods and services from individuals or businesses to the end-user

Q213441 - shop: place where items or services are sold

Q507619 - retail chain: retail outlets that share a brand and central management, and usually have standardized business methods and practices

Q99428050 - Retail: subject category of the 20th Century Press Archives

Q614084 - consumer cooperative: enterprises owned by consumers and managed democratically

Metro_AG

Q8046 - economy of Germany: overview of the economy in the Federal Republic of Germany

Q129031228 - German economy and brexit: scholarly article

Q122244336 - German Economy and Society in the Face of the New Century: scholarly article in Journal of Beijing Administrative College, no. 1, 2000

Metro_AG

P1346 - winner: winner of a competition or similar event, not to be used for awards (instead use "award received" (P166) on awardee's item, possibly qualified with "for work" (P1686)) or for wars or battles

P488 - chairperson: presiding member of an organization, group or body

P1037 - director / manager: person who manages any kind of group or organisation

P35 - head of state: official with the highest formal authority in a country/state

P3975 - general secretary: leader of a political or international organization, sometimes below the chairperson (P488)

Metro_AG

Q183 - Germany: country in Central Europe

Q1206012 - German Reich: official name for the German nation state from 1871 to 1945, and name of Germany until 1949

Q41304 - Weimar Republic: Germany in the years 1918/1919–1933

Metro_AG

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates


1963 – 1980

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: Metro_AG, 1963 – 1980: Metro began on 8 November 1963 inEssenwith the opening of the first wholesale centre under the name Metro by the brothers Ernst Schmidt and Wilhelm Schmidt-Ruthenbeck. Planning and opening of the first hypermarket under the name Metro in Essen was the responsibility of Walter Vieth, who was managing director there from 1963 to 1970. In 1964, a year after the opening of the first Metro store, the Stöcker & Reinshagen company (the Schell family) planned a cash and carry store inMülheim an der Ruhr. During construction, the businessmens Schmidt-Ruthenbeck, Schmidt and Schell met and decided to merge their cash and carry activities. So they founded Metro-SB-Großmarkt GmbH & Co. KG with headquarters in Mülheim, later in Düsseldorf.Otto Beisheim, until 1964 authorised signatory of the company Stöcker & Reinshagen, became the sole managing director. In 1966, the third Metro was opened inWest Berlin. In 1966, Otto Beisheim met Friedrich Wilhelm Lenz, chairman of the management board ofFranz Haniel & Cie.and convinced him to invest in Metro.In the course of the following reorganization Beisheim became a shareholder himself. From this point on, the founding family Schmidt-Ruthenbeck and the shareholders Beisheim and Haniel each held about one third of the shares. Under the sole leadership of Otto Beisheim, a rapid expansion of the Metro stores into the greater German and European area began in 1967 with the opening of the Metro stores in Godorf nearCologne,Hamburg,Munichand, after a connection with the Dutch companySHV Holdings, the first C&C wholesale store (brand: Makro) in theNetherlands, and in 1968 inDüsseldorf.

[
    "Q169167 - METRO AG: German wholesale company",
    "Q11283062 - Metro Agua Salud: metro station in Caracas, Venezuela",
    "Q8191806 - Agrícola Oriental: metro station in Mexico City",
    "Q128289364 - Metro AG — Konzernabschluss zum 30.9.2018: scholarly article"
]

[
    "Q69286395 - November 8, 1963: date in Gregorian calendar"
]

[
    "Q1718 - Düsseldorf: capital city of the German federated state of North Rhine-Westphalia",
    "Q255951 - Düsseldorf Central Station: Rhine-Ruhr S-Bahn station",
    "Q58226 - Düsseldorf Airport: international airport of Düsseldorf",
    "Q322886 - Hochschule Düsseldorf: German educational institution",
    "Q7926 - Düsseldorf Government Region: government region of North Rhine-Westphalia, Germany"
]

[
    "Q72794 - Otto Beisheim: businessman (1924-2013)",
    "Q123617186 - Otto Beisheim, German Retailing Pioneer, Dies at 89: The New York Times article (February 22, 2013)",
    "Q316595 - WHU – Otto Beisheim School of Management: business school"
]

[
    "Q2899 - Mülheim an der Ruhr: city in North Rhine-Westphalia, Germany",
    "Q2713454 - Mülheim an der Ruhr Main Cemetery: cemetery in Mülheim an der Ruhr, Germany",
    "Q97118882 - Stadt Mülheim Open Data Portal: None",
    "Q468107 - Mülheim (Ruhr) Hauptbahnhof: railway halt in Mülheim an der Ruhr, Germany",
    "Q19248682 - Mülheim (Ruhr) Hauptbahnhof station: Light rail station in Mülheim an der Ruhr, Germany"
]

[
    "Q704606 - Makro: Dutch brand of supermarket chains",
    "Q3842164 - Makrobiusz: male given name",
    "Q18024604 - makro: None",
    "Q10323264 - Makro: None",
    "Q62246 - polycarbonate: family of polymers"
]

[
    "Q1726 - Munich: capital and most populous city of Bavaria, Germany",
    "Q15789 - FC Bayern Munich: association football club in Munich, Germany",
    "Q10544 - Munich: rural district in Upper Bavaria, Bavaria, Germany",
    "Q55044 - Ludwig-Maximilians-Universität München: public university in Munich, Germany",
    "Q8438 - 1972 Summer Olympics: Games of the XX Olympiad, in Munich, West Germany"
]

[
    "Q704606 - Makro: Dutch brand of supermarket chains",
    "Q3842164 - Makrobiusz: male given name",
    "Q18024604 - makro: None",
    "Q10323264 - Makro: None",
    "Q62246 - polycarbonate: family of polymers"
]

[
    "Q56036 - West Berlin: the Western sectors of Berlin between 1945 and 1990",
    "Q14705921 - West Berlin: human settlement in Berlin Township, New Jersey, United States of America",
    "Q7984471 - West Berlin: human settlement in Nova Scotia, Canada",
    "Q821448 - Berlin member of the Bundestag: MPs from West Berlin (1949–1990) during the separation of Germany, special status without voting rights (with a few exceptions)",
    "Q28942424 - West Berlin Women's Center: Feminist organization in West Berlin"
]

[
    "Q2649 - 1966: year",
    "Q19241629 - 1966: natural number",
    "Q134202 - 1966 FIFA World Cup: 8th FIFA World Cup, held in England",
    "Q918430 - 1966 United Kingdom general election: general election held in the United Kingdom",
    "Q53385098 - 1966-1967 one-year-period: period of about one year starting in 1966 and ending in 1967"
]

[
    "Q1718 - Düsseldorf: capital city of the German federated state of North Rhine-Westphalia",
    "Q255951 - Düsseldorf Central Station: Rhine-Ruhr S-Bahn station",
    "Q58226 - Düsseldorf Airport: international airport of Düsseldorf",
    "Q322886 - Hochschule Düsseldorf: German educational institution",
    "Q7926 - Düsseldorf Government Region: government region of North Rhine-Westphalia, Germany"
]

[
    "Q1055 - Hamburg: city and state in the North of Germany",
    "Q51974 - Hamburger SV: German sports club based in Hamburg, with its largest branch being its football department",
    "Q16870461 - Hamburg: family name",
    "Q6456 - Hamburg Hauptbahnhof: main railway station for the German city of Hamburg",
    "Q1572860 - Hamburg: 1960 Hamburg-class destroyer"
]

[
    "Q320785 - Franz Haniel & Cie.: German company",
    "Q130988598 - Franz Haniel & Cie. GmbH, ZA Gesellschafter + Nachhaltigkeit: company archive in Duisburg, Germany"
]


1963 – 1980

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: Metro_AG, 1963 – 1980: Metro began on 8 November 1963 inEssenwith the opening of the first wholesale centre under the name Metro by the brothers Ernst Schmidt and Wilhelm Schmidt-Ruthenbeck. Planning and opening of the first hypermarket under the name Metro in Essen was the responsibility of Walter Vieth, who was managing director there from 1963 to 1970. In 1964, a year after the opening of the first Metro store, the Stöcker & Reinshagen company (the Schell family) planned a cash and carry store inMülheim an der Ruhr. During construction, the businessmens Schmidt-Ruthenbeck, Schmidt and Schell met and decided to merge their cash and carry activities. So they founded Metro-SB-Großmarkt GmbH & Co. KG with headquarters in Mülheim, later in Düsseldorf.Otto Beisheim, until 1964 authorised signatory of the company Stöcker & Reinshagen, became the sole managing director. In 1966, the third Metro was opened inWest Berlin. In 1966, Otto Beisheim met Friedrich Wilhelm Lenz, chairman of the management board ofFranz Haniel & Cie.and convinced him to invest in Metro.In the course of the following reorganization Beisheim became a shareholder himself. From this point on, the founding family Schmidt-Ruthenbeck and the shareholders Beisheim and Haniel each held about one third of the shares. Under the sole leadership of Otto Beisheim, a rapid expansion of the Metro stores into the greater German and European area began in 1967 with the opening of the Metro stores in Godorf nearCologne,Hamburg,Munichand, after a connection with the Dutch companySHV Holdings, the first C&C wholesale store (brand: Makro) in theNetherlands, and in 1968 inDüsseldorf.

Metro_AG

P571 - inception: time when an entity begins to exist; for date of official opening use P1619

P800 - notable work: notable scientific, artistic or literary work, or other work of significance among subject's works

P112 - founded by: founder or co-founder of this organization, religion, place or entity

P740 - location of formation: location where a group or organization was formed

Metro_AG

Q15854542 - Wilhelm Schmidt-Ruthenbeck: German entrepreneur (1906-1988)

Metro_AG

Q320677 - cash and carry: type of wholesale

Q1047281 - Cash and carry: United States World War II policy

Q5048674 - Cash and Carry: 1937 film by Del Lord

Q255113 - Cash and Carry: television program

Q92279475 - cash-and-carry arbitrage: index trading strategy

Metro_AG

Q750656 - hypermarket: big-box store combining a supermarket and a department store

Q104894574 - Hypermarket: 2007 film directed by Janusz Klimsza

Q122386293 - Hypermarket Tycoon Manager: 2023 video game

Q135077785 - Hypermarket Simulator: video game developed by Croissant Games

Q105615608 - hypermarket chain: hypermarkets that share a brand and central management, and usually have standardized business methods and practices

Metro_AG

Q72794 - Otto Beisheim: businessman (1924-2013)

Q123617186 - Otto Beisheim, German Retailing Pioneer, Dies at 89: The New York Times article (February 22, 2013)

Q316595 - WHU – Otto Beisheim School of Management: business school

Metro_AG

Q320785 - Franz Haniel & Cie.: German company

Q130988598 - Franz Haniel & Cie. GmbH, ZA Gesellschafter + Nachhaltigkeit: company archive in Duisburg, Germany

Metro_AG

Q220695 - wholesale: sale of goods or merchandise to retailers or other wholesalers rather than end consumers

Q12310153 - wholesaler: person who works in wholesale trade

Q112165695 - Wholesale trade (business-to-business) of clothing and footwear: economic activity defined by the nomenclature of French activities rev. 2

Q4498092 - wholesale bakery: industrial facility that manufactures baked goods and sells them at wholesale

Metro_AG

Metro_AG

Q160236 - Metropolitan Museum of Art: art museum in New York City, United States

Q8158 - Metro: city in Lampung Province, Indonesia

Q35 - Denmark: country in Northern Europe and North America

Q1148750 - Metro: internal code name of a typography-based design language

Q179200 - Metro-Goldwyn-Mayer: American film and television and distribution company

Metro_AG

Metro_AG

Q704606 - Makro: Dutch brand of supermarket chains

Q62246 - polycarbonate: family of polymers

Metro_AG

Q53388424 - 1963-1964 one-year-period: period of about one year starting in 1963 and ending in 1964

Q687048 - 1963–64 Fußball-Bundesliga: 1st season of the Bundesliga

Q5760524 - 1963 Costa Rican census: population census in Costa Rica

Metro_AG

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

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

P304 - page(s): page number of source referenced for statement. Note "column(s)" (P3903) and "folio(s)" (P7416) for other numbering systems

Q2899 - Mülheim an der Ruhr: city in North Rhine-Westphalia, Germany

Q2713454 - Mülheim an der Ruhr Main Cemetery: cemetery in Mülheim an der Ruhr, Germany

Q97118882 - Stadt Mülheim Open Data Portal: None

Q468107 - Mülheim (Ruhr) Hauptbahnhof: railway halt in Mülheim an der Ruhr, Germany

Q19248682 - Mülheim (Ruhr) Hauptbahnhof station: Light rail station in Mülheim an der Ruhr, Germany

Metro_AG

Q180846 - supermarket: large form of the traditional grocery store

Q135073578 - Supermarket: video game developed by Crispy Codeworks

Q135072445 - Supermarket: video game developed by Grinding Simulator Games

Q135074339 - Supermarket: video game developed by Aisle 5 Games

Q18043413 - supermarket chain: supermarkets that share a brand and central management, and usually have standardized business methods and practices

Metro_AG

Q134202 - 1966 FIFA World Cup: 8th FIFA World Cup, held in England

Q918430 - 1966 United Kingdom general election: general election held in the United Kingdom

Q53385098 - 1966-1967 one-year-period: period of about one year starting in 1966 and ending in 1967

Metro_AG

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

Q56036 - West Berlin: the Western sectors of Berlin between 1945 and 1990

Q14705921 - West Berlin: human settlement in Berlin Township, New Jersey, United States of America

Q7984471 - West Berlin: human settlement in Nova Scotia, Canada

Q821448 - Berlin member of the Bundestag: MPs from West Berlin (1949–1990) during the separation of Germany, special status without voting rights (with a few exceptions)

Q28942424 - West Berlin Women's Center: Feminist organization in West Berlin

Metro_AG

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

Metro_AG

Q49077 - Six-Day War: 1967 war between Israel and Egypt, Jordan, and Syria

Q322607 - War of Attrition: 1967–1970 war between Israel and Egypt, Syria and Jordan

Q53385119 - 1967-1968 one-year-period: period of about one year starting in 1967 and ending in 1968

Metro_AG

Q1718 - Düsseldorf: capital city of the German federated state of North Rhine-Westphalia

Q255951 - Düsseldorf Central Station: Rhine-Ruhr S-Bahn station

Q58226 - Düsseldorf Airport: international airport of Düsseldorf

Q322886 - Hochschule Düsseldorf: German educational institution

Q7926 - Düsseldorf Government Region: government region of North Rhine-Westphalia, Germany

Metro_AG

Q8429 - 1968 Summer Olympics: Games of the XIX Olympiad, in Mexico City, Mexico

Q9642 - 1968 Winter Olympics: 10th edition of Winter Olympics, in Grenoble, France

Q2812463 - 1968: 1968 studio album by France Gall

Metro_AG

Q55 - Netherlands: country in Northwestern Europe with territories in the Caribbean

Q29999 - Kingdom of the Netherlands: transcontinental sovereign state and constitutional monarchy

Q476033 - Low Countries: historical coastal landscape in north western Europe

Q16250490 - Netherlands: constituency of the European Parliament

Q170072 - Dutch Republic: predecessor state of the Netherlands (1581–1795)

Metro_AG

Q614304 - pharmacy: science that studies the chemical, pharmacological and pharmaceutical properties of drugs

Q13107184 - pharmacy: health facility where medicines are sold and medical advice is given

Q27727316 - Pharmacy (Basel, Switzerland): journal

Q186249 - pharmaceutics: science that deals with the properties of medicines

Q15767306 - P & T: journal for formulary management: journal

Metro_AG

Q69286395 - November 8, 1963: date in Gregorian calendar

Metro_AG

Q2066 - Essen: city in North Rhine-Westphalia, Germany

Q170885 - essential oil: hydrophobic liquid containing volatile aroma compounds from plants

Q5953083 - Essen Lindahl: Swedish politician (1916–2000)

Q724283 - Essen: municipality in Antwerp, Belgium

Metro_AG

Q8420 - 1964 Summer Olympics: Games of the XVIII Olympiad, in Tokyo, Japan

Q9636 - 1964 Winter Olympics: 9th edition of Winter Olympics, Innsbruck, Austria

Metro_AG

Q885367 - Godorf: city quarter No. 211 of Cologne, Germany

Q63434045 - Godorf: railway station in Cologne, Germany

Q56175916 - Edward Davies: mining engineer and J.P. (1820-1908)

Metro_AG

Q1055 - Hamburg: city and state in the North of Germany

Q51974 - Hamburger SV: German sports club based in Hamburg, with its largest branch being its football department

Q6456 - Hamburg Hauptbahnhof: main railway station for the German city of Hamburg

Q1572860 - Hamburg: 1960 Hamburg-class destroyer

Metro_AG

Q29588731 - 1970 Census of the Philippines: item representing census of Philippines 1970 for source

Q918442 - 1970 United Kingdom general election: general election held in the United Kingdom

Metro_AG

Q1726 - Munich: capital and most populous city of Bavaria, Germany

Q15789 - FC Bayern Munich: association football club in Munich, Germany

Q10544 - Munich: rural district in Upper Bavaria, Bavaria, Germany

Q55044 - Ludwig-Maximilians-Universität München: public university in Munich, Germany

Q8438 - 1972 Summer Olympics: Games of the XX Olympiad, in Munich, West Germany

Metro_AG

P3342 - significant person: person linked to the item in any possible way

Metro_AG

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates


1980 – 2000

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: Metro_AG, 1980 – 2000: In 1980, Metro took over 24.9 per cent ofKaufhof. In March 1996, Metro AG was formed by the merger of Metro Cash & Carry withKaufhof Holding AG, Deutsche SB-Kauf AG (of the insolvent company co op AG), and Asko Deutsche Kaufhaus AG (emerged from Allgemeine Saar Konsum, in which a Metro investment company had previously held shares). The group also included the Huma shopping centres, the sports retail stores Primus Sportwelt, MHB Handel AG and the office supplies and stationery manufacturerPelikan, as well asMedia-Saturn, the consumer electronics business of Media Markt andSaturn. The share of Metro AG was founded retrospectively on January 1 and listed on 22 July 1996 on theFrankfurt Stock Exchangeand was part of theDAXuntil 2012. In 1998, the computer retailersVobisandMaxdata, the Adler fashion stores and Reno's shoe retailers, the discounter TiP, Möbel Roller and unprofitable Kaufhof branches were brought into the subsidiary Divaco, which was founded together with Deutsche Bank and the Gerling Group, in order to attract new buyers. In 1998, the 94 Allkauf -S department stores were bought, as was Allkauf Touristik Vertriebs GmbH with 160 travel agencies, which were sold again by Metro.

[
    "Q169167 - METRO AG: German wholesale company",
    "Q11283062 - Metro Agua Salud: metro station in Caracas, Venezuela",
    "Q8191806 - Agrícola Oriental: metro station in Mexico City",
    "Q128289364 - Metro AG — Konzernabschluss zum 30.9.2018: scholarly article"
]

[
    "Q2089 - 1998: year",
    "Q860019 - 1998: natural number",
    "Q9664 - 1998 Winter Olympics: 18th edition of Winter Olympics, in Nagano, Japan",
    "Q101730 - 1998 FIFA World Cup: 16th FIFA football World Cup finals, held in France",
    "Q53385642 - 1998-1999 one-year-period: period of about one year starting in 1998 and ending in 1999"
]

[
    "Q532691 - 160: natural number",
    "Q24810 - 160: year",
    "Q35525 - White House: official residence and office of the President of the United States",
    "Q141268 - 160 Una: main-belt asteroid",
    "Q12681518 - 1601: natural number"
]

[
    "Q683782 - 94: natural number",
    "Q1102 - plutonium: radioactive chemical element with the atomic number of 94 and symbol Pu",
    "Q33620 - 94: year",
    "Q106462647 - Tramline 94 (Potsdam, Germany): None",
    "Q289363 - 941: natural number"
]

[
    "Q2649290 - Allkauf: None",
    "Q1202524 - Deutsche Fertighaus Holding: None"
]

[
    "Q106598769 - Vobiš: family name",
    "Q1602741 - Vobis: German chain of computer shops",
    "Q21341997 - Gernot Vobis: lichenologist",
    "Q740011 - Vobiscum Satanas: 1998 studio album by Dark Funeral",
    "Q9369044 - Vobis: None"
]

[
    "Q164604 - Maxdata: German information companies",
    "Q6795466 - Maxdata Software: Portuguese software development company",
    "Q134663515 - Maxdata: None"
]

[
    "Q659320 - MediaMarktSaturn Retail Group: German corporate group comprising consumer electronic retailers MediaMarkt and Saturn",
    "Q116485102 - Media-Saturn-Straße: street in Ingolstadt, Bavaria, Germany"
]

[
    "Q66048 - Deutsche Bank: German global banking and financial services company",
    "Q157273 - Waldstadion: stadium in Frankfurt am Main, Germany",
    "Q1497368 - Deutsche Bank building complex: former headquarters of Deutsche Bank in Berlin",
    "Q30338593 - Deutsche Bank: American subsidiary",
    "Q1202180 - Deutsche Bank Prize in Financial Economics: scholarly award"
]

[
    "Q1513764 - Gerling Group: German insurance company"
]

[
    "Q188878 - Dax: commune in Landes, France",
    "Q155718 - DAX: Blue-chip index consisting of the 40 major German companies trading on the Frankfurt Stock Exchange",
    "Q13107219 - Dax: male given name",
    "Q37448661 - Dax: family name",
    "Q5241548 - Davide Cesare: Italian activist"
]

[
    "Q151139 - Frankfurt Stock Exchange: stock exchange located in Frankfurt, Germany",
    "Q5616081 - Template:Frankfurt Stock Exchange: Wikimedia template"
]

[
    "Q322598 - Galeria Kaufhof: former German department store chain",
    "Q80220059 - Galeria Karstadt Kaufhof: German department store",
    "Q56872984 - Kaufhof: pedestrian street in Wolfsburg, Germany",
    "Q131321943 - Kaufhof (Bad Cannstatt): retail building in Stuttgart",
    "Q123022320 - Kaufhof (Frankfurt-Hauptwache): building in Frankfurt am Main"
]

[
    "Q15042707 - Pelikan: family name",
    "Q12773617 - Pelikán: family name",
    "Q12044581 - Pelikán: 2002 studio album by Jana Kirschner",
    "Q4348253 - Pelikan: Polish coat of arms",
    "Q202133 - Pelikan: Private label and distribution company for branded goods, paper office school"
]

[
    "Q69301166 - July 22, 1996: date in Gregorian calendar"
]

[
    "Q2381223 - MediaMarkt: retail chain specializing in electronics and consumer appliances",
    "Q108169182 - Media Markt Saturn W Polsce: company",
    "Q65218467 - Media Markt: None"
]

[
    "Q1104110 - co op AG: company",
    "Q130442204 - Cooperativa Agrícola Do Bebedouro Crl: Agricultural cooperative in Arazede, Coimbra, Portugal",
    "Q132043416 - COOP AGR ECOUL VENT PROD AGR RIV PILOTE: None",
    "Q132035529 - COOP AGRICOL TRANSFORM CONSERVATION VENT: None",
    "Q131221506 - COOP AGRIC VINICOLE DE COULOMMES VRIGNY: None"
]

[
    "Q1230473 - Divaco: None",
    "Q557216 - Municipality of Divača: municipality of Slovenia",
    "Q134643084 - Divacore International: None"
]

[
    "Q13610282 - Metro Cash & Carry: international self-service wholesaler",
    "Q117814984 - Metro Cash & Carry: Russian company",
    "Q33093143 - METRO Cash & Carry International Holding: holding company",
    "Q12770687 - METRO Cash & Carry Slovakia: Slovak wholesale company",
    "Q111850935 - Metro Cash & Carry Bulgaria: company in Bulgaria"
]

[
    "Q94531932 - Asko Deutsche Kaufhaus AG: former German retail company"
]

[
    "Q1990 - 2012: year",
    "Q1489579 - 2012: natural number",
    "Q8577 - 2012 Summer Olympics: Games of the XXX Olympiad, in London, United Kingdom",
    "Q29033603 - 2012: 2016 EP by Chixdiggit",
    "Q184605 - 2012: 2009 film directed by Roland Emmerich"
]

Output: None of the candidates

Output: None of the candidates


1980 – 2000

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: Metro_AG, 1980 – 2000: In 1980, Metro took over 24.9 per cent ofKaufhof. In March 1996, Metro AG was formed by the merger of Metro Cash & Carry withKaufhof Holding AG, Deutsche SB-Kauf AG (of the insolvent company co op AG), and Asko Deutsche Kaufhaus AG (emerged from Allgemeine Saar Konsum, in which a Metro investment company had previously held shares). The group also included the Huma shopping centres, the sports retail stores Primus Sportwelt, MHB Handel AG and the office supplies and stationery manufacturerPelikan, as well asMedia-Saturn, the consumer electronics business of Media Markt andSaturn. The share of Metro AG was founded retrospectively on January 1 and listed on 22 July 1996 on theFrankfurt Stock Exchangeand was part of theDAXuntil 2012. In 1998, the computer retailersVobisandMaxdata, the Adler fashion stores and Reno's shoe retailers, the discounter TiP, Möbel Roller and unprofitable Kaufhof branches were brought into the subsidiary Divaco, which was founded together with Deutsche Bank and the Gerling Group, in order to attract new buyers. In 1998, the 94 Allkauf -S department stores were bought, as was Allkauf Touristik Vertriebs GmbH with 160 travel agencies, which were sold again by Metro.

Metro_AG

P355 - child organization/unit: child organization/unit or subsidiary of a company or organization/unit; generally a fully owned separate corporation. Compare with "business division" (P199). Opposite of parent organization/unit (P749).

P749 - parent organization: parent organization of an organization, opposite of subsidiaries (P355)

Q322598 - Galeria Kaufhof: former German department store chain

Q80220059 - Galeria Karstadt Kaufhof: German department store

Q56872984 - Kaufhof: pedestrian street in Wolfsburg, Germany

Q131321943 - Kaufhof (Bad Cannstatt): retail building in Stuttgart

Q123022320 - Kaufhof (Frankfurt-Hauptwache): building in Frankfurt am Main

Metro_AG

Q659320 - MediaMarktSaturn Retail Group: German corporate group comprising consumer electronic retailers MediaMarkt and Saturn

Q116485102 - Media-Saturn-Straße: street in Ingolstadt, Bavaria, Germany

Media_Saturn

Media_Saturn

Q2381223 - MediaMarkt: retail chain specializing in electronics and consumer appliances

Q108169182 - Media Markt Saturn W Polsce: company

Metro_AG

Metro_AG

Metro_AG

Metro_AG

Q94531932 - Asko Deutsche Kaufhaus AG: former German retail company

Metro_AG

Q1202524 - Deutsche Fertighaus Holding: None

Allkauf

Q1202524 - Deutsche Fertighaus Holding: None

Metro_AG

Metro_AG

Q1602741 - Vobis: German chain of computer shops

Q740011 - Vobiscum Satanas: 1998 studio album by Dark Funeral

Metro_AG

Q164604 - Maxdata: German information companies

Q6795466 - Maxdata Software: Portuguese software development company

Metro_AG

Metro_AG

Metro_AG

Metro_AG

P47 - shares border with: countries or administrative subdivisions, of equal level, that this item borders, either by land or water. A single common point is enough.

P4070 - identifier shared with: qualifier, to be used on external identifier IDs, indicating another Wikidata item is also matched to this ID

P9531 - identifier shared with lexeme: qualifier used to state which other lexemes are also matched to this identifier

P10756 - number of reblogs: number of reblogs, reposts, retweets, crossposts, or on-platform shares received on a social media post

Q1513764 - Gerling Group: German insurance company

Metro_AG

Q66048 - Deutsche Bank: German global banking and financial services company

Q157273 - Waldstadion: stadium in Frankfurt am Main, Germany

Q1497368 - Deutsche Bank building complex: former headquarters of Deutsche Bank in Berlin

Q30338593 - Deutsche Bank: American subsidiary

Q1202180 - Deutsche Bank Prize in Financial Economics: scholarly award

Metro_AG

Metro_AG

Metro_AG

Q12044581 - Pelikán: 2002 studio album by Jana Kirschner

Q202133 - Pelikan: Private label and distribution company for branded goods, paper office school

Metro_AG

Metro_AG

Q13780930 - worldwide: published or operating in multiple or all jurisdictions on Earth; special value for "place of publication" (P291) and "operating area" (P2541)

Q1072012 - internationality: something involving more than a single country

Q2654758 - Worldwide: 1991 studio album by Everything but the Girl

Q8036777 - Worldwide: Audio Adrenaline album

Metro_AG

Metro_AG

P31 - instance of: type to which this subject corresponds/belongs. Different from P279 (subclass of); for example: K2 is an instance of mountain; volcano is a subclass of mountain

P427 - taxonomic type: type genus or species: [in zoology:] nominal genus or species that is the name-bearing type of this nominal family or genus (or family-group ranked taxon or subgenus); type specimen that is the name-bearing type of this nominal species or subspecies

P2308 - class: qualifier to define a property constraint in combination with "property constraint" (P2302)

P105 - taxon rank: level in a taxonomic hierarchy

P279 - subclass of: this item is a subclass (subset) of that item; ALL instances of this item are instances of that item; different from P31 (instance of), e.g.: volcano is a subclass of mountain; Everest is an instance of mountain

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

Metro_AG

P36 - capital: seat of government of a country, province, state or other type of administrative territorial entity

P1376 - capital of: country, state, department, canton or other administrative division of which the municipality is the governmental seat

P2130 - capital cost: amount of money spent on building or producing an object

P6106 - uses capitalization for: lexical classes and subclasses of words as well as other uses in the language where the first letter is written as a capital letter

P2218 - net worth: totality of wealth possessed by a person

Q4024 - Frankfurt (Oder): city in Brandenburg, Germany

Q1794 - Frankfurt: city in Hesse, Germany

Q38245 - Eintracht Frankfurt: sports club based in Frankfurt am Main, Hesse, Germany

Q163804 - Städel Museum: art museum in Frankfurt, Germany

Q46033 - Frankfurt Airport: biggest airport of Germany, located in Frankfurt, Hesse

Metro_AG

Q80220059 - Galeria Karstadt Kaufhof: German department store

Q56872984 - Kaufhof: pedestrian street in Wolfsburg, Germany

Metro_AG

P1056 - product or material produced: material or product, including services, produced or provided by an organization, industry, facility, or process

P176 - manufacturer: (main or final) manufacturer or producer of this product

P2079 - fabrication method: method, process or technique used to grow, cook, weave, build, assemble, manufacture the item

P272 - production company: company that produced this film, audio or performing arts work

P1071 - location of creation: place where the item was conceived or made; where applicable, location of final assembly

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

Q646089 - Consumer Electronics Show: electronics and technology trade show

Q60297254 - Consumer Electronics: power electronics band

Q1128415 - Consumer Technology Association: standards and trade organization for the consumer electronics industry in the United States

Q7196156 - consumer electronics store: store that specializes in selling consumer electronics

Metro_AG

Q183 - Germany: country in Central Europe

Q1206012 - German Reich: official name for the German nation state from 1871 to 1945, and name of Germany until 1949

Q41304 - Weimar Republic: Germany in the years 1918/1919–1933

Metro_AG

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

P304 - page(s): page number of source referenced for statement. Note "column(s)" (P3903) and "folio(s)" (P7416) for other numbering systems

Metro_AG

Q8544 - 2000 Summer Olympics: Games of the XXVII Olympiad, in Sydney, Australia

Q855688 - 2000 Summer Paralympics: multi-parasport event in Sydney, Australia

Metro_AG

Metro_AG

Q484876 - chief executive officer: highest-ranking corporate officer

Q2684208 - Clinical and Experimental Otorhinolaryngology: open-access society journal

Q126726944 - CEO: 2024 music track by SCH

Q126693438 - CEO: 2022 early access video game

Metro_AG

Q188878 - Dax: commune in Landes, France

Q155718 - DAX: Blue-chip index consisting of the 40 major German companies trading on the Frankfurt Stock Exchange

Q5241548 - Davide Cesare: Italian activist

Metro_AG

Q169167 - METRO AG: German wholesale company

Q11283062 - Metro Agua Salud: metro station in Caracas, Venezuela

Q8191806 - Agrícola Oriental: metro station in Mexico City

Q128289364 - Metro AG — Konzernabschluss zum 30.9.2018: scholarly article

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

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2000 – 2020

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: Metro_AG, 2000 – 2020: In December 2003, Metro separated from its stake in Divaco KG and sold its shares to the sole shareholder and CEO, Siegfried Kaske, for 1 euro. In 2004, Metro bought Adler fashion stores back from Divaco. In 2005, Metro split off thePraktikerhome improvementdivision, which went public as an independent company. In July 2006 Metro bought the 85 German stores ofWal-Mart, which gave up its loss-making Germany business. The Wal-Mart stores were largely integrated into theRealsales brand. In July 2008, the Extra supermarket chain with around 250 locations and sales of around 1.6 billion euro, was sold to theRewe Group. Metro sold the Adler fashion stores to the associated company BluO in February 2009. In October 2012, Makro-Habib in Pakistan becameMetro-Habib. In November 2012, Metro sold its 91 Real hypermarkets in Poland, Romania, Russia and Ukraine toAuchanfor 1.1 billion euro.In 2014 Metro sold the 12 Real hypermarkets in Turkey.In 2017 Metro sold the last remaining four Real hypermarkets in Romania. On 15 June 2015, Metro AG agreed to sellGaleria Kaufhofto Canadian retail conglomerateHudson's Bay Companyfor $3.2 billion. On 30 March 2016, Metro Group announced that it would be splitting into two independent companies:A spin-off of the wholesale and food sector of Metro AG will be responsible for the group divisions into two independent and publicly listed companies. Both will have their own management, supervisory board and independent company profiles. Metro AG was renamed Ceconomy, comprisingMedia MarktandSaturnelectronics stores, while a new company with the name Metro AG was formed, comprisingMetro Cash & CarryandReal. In September 2018, Metro announced that it wanted to sell theRealhypermarket subsidiary in Germany to focus entirely on wholesale business.In February 2020, Real was sold to The SCP Group.The deal was completed in June 2020.With the acquisition of Johbeco AB and its subsidiary Johan i Hallen & Bergfalk, a Swedish specialist supplier of meat, fish and seafood, for around 100 million euros in May 2023, Metro entered the Swedish and Finnish market.

[
    "Q169167 - METRO AG: German wholesale company",
    "Q11283062 - Metro Agua Salud: metro station in Caracas, Venezuela",
    "Q8191806 - Agrícola Oriental: metro station in Mexico City",
    "Q128289364 - Metro AG — Konzernabschluss zum 30.9.2018: scholarly article"
]

[
    "Q118321055 - Spatio-temporal evolution and influence mechanism of shorelines and tidal flat reclamation during 2000-2020 in Rudong, Jiangsu province: None",
    "Q118320328 - Spatiotemporal patterns and determinants of interprovincial migration in China between 2000 and 2020: None",
    "Q118320111 - China’s changing population distribution and influencing factors:Insights from the 2020 census data: None",
    "Q118320311 - Spatial and temporal characteristics of forest and grass cover in the potential range of desertification in China from 2000 to 2020: None"
]

[
    "Q322598 - Galeria Kaufhof: former German department store chain",
    "Q80220059 - Galeria Karstadt Kaufhof: German department store",
    "Q118205782 - Galeria Kaufhof: building in Braunschweig, Germany",
    "Q135289885 - Galeria Kaufhof: department store in Paderborn, Germany",
    "Q1491834 - Galeria Kaufhof Berlin-Alexanderplatz: None"
]

[
    "Q76039 - Hudson's Bay Company: Canadian retail business group, former fur trading business",
    "Q1142049 - North West Company: Historical fur-trading company",
    "Q641129 - Hudson's Bay: department store chain in Canada",
    "Q635546 - Hudson's Bay Company Archives: Memory of the World inscription, submitted by Canada, added in 2007",
    "Q37778203 - Hudson's Bay Company Factor's House: house in Fort Vermilion, Alberta"
]

[
    "Q13610282 - Metro Cash & Carry: international self-service wholesaler",
    "Q117814984 - Metro Cash & Carry: Russian company",
    "Q33093143 - METRO Cash & Carry International Holding: holding company",
    "Q12770687 - METRO Cash & Carry Slovakia: Slovak wholesale company",
    "Q111850935 - Metro Cash & Carry Bulgaria: company in Bulgaria"
]

[
    "Q2381223 - MediaMarkt: retail chain specializing in electronics and consumer appliances",
    "Q108169182 - Media Markt Saturn W Polsce: company",
    "Q65218467 - Media Markt: None"
]

[
    "Q183 - Germany: country in Central Europe",
    "Q1206012 - German Reich: official name for the German nation state from 1871 to 1945, and name of Germany until 1949",
    "Q41304 - Weimar Republic: Germany in the years 1918/1919–1933",
    "Q37444958 - Germany: family name",
    "Q133933103 - Germany: male given name"
]

[
    "Q36 - Poland: country in Central Europe",
    "Q172107 - Polish–Lithuanian Commonwealth: historical multinational monarchist state in Eastern Europe (Crown of the Kingdom of Poland and the Grand Duchy of Lithuania)",
    "Q7208891 - Poland: family name",
    "Q63197748 - Poland: badminton player",
    "Q171348 - Crown of the Kingdom of Poland: 1385–1795 territorial possessions of the King of Poland"
]

[
    "Q218 - Romania: country in Southeast Europe",
    "Q7913 - Romanian: Eastern Romance language, official in Romania and Moldova",
    "Q12544 - Byzantine Empire: Roman Empire during Late Antiquity and the Middle Ages",
    "Q37070394 - Romania: family name",
    "Q199864 - Romanian Wikipedia: Romanian-language edition of Wikipedia, the free-content encyclopedia"
]

[
    "Q159 - Russia: country in Eastern Europe and Northern Asia",
    "Q34266 - Russian Empire: former empire in Eurasia and North America (1721–1917)",
    "Q23890440 - Russia: genus of Ostracoda",
    "Q7737 - Russian: East Slavic language",
    "Q206855 - Russian Wikipedia: Russian-language edition of Wikipedia"
]

[
    "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"
]

[
    "Q1088 - blue: primary color between purple and green in the spectrum",
    "Q18121568 - BluOr Bank: legal entity in Latvia",
    "Q13134856 - Bluodderige Feart: canal in Friesland, Netherlands",
    "Q29758141 - opn1sw2: protein-coding gene in the species Danio rerio",
    "Q110962509 - Bluops: taxon, (Carter, 1914), genus of adeliini"
]

[
    "Q483551 - Walmart: U.S. discount retailer based in Arkansas",
    "Q127256141 - Wal-Mart: episode of Penn & Teller: Bullshit! (S5 E2)",
    "Q49254226 - Wal-Mart Stores Inc.: painting by Tom Sachs",
    "Q3282877 - Wal-Mart: The High Cost of Low Price: 2005 film by Robert Greenwald",
    "Q7961235 - Wal-Mart v. Dukes: 2011 United States Supreme Court case"
]

[
    "Q758603 - Auchan: French multinational retail company",
    "Q110053013 - Auchan Retail Russia: chain of stores in Russia, a subsidiary of French retail",
    "Q55565121 - Auchan: ward",
    "Q34248502 - Auchanitis (Pauly-Wissowa): encyclopedic article in Paulys Realencyclopädie der classischen Altertumswissenschaft (RE)",
    "Q125868206 - Auchan: group of bus stops in Olsztyn, Poland urban area"
]

[
    "Q34 - Sweden: country in Northern Europe",
    "Q37437749 - Sweden: family name",
    "Q7654287 - Sweden: constituency of the European Parliament",
    "Q118948494 - Sweden: song by C418",
    "Q125765069 - Sweden: instrumental track by C418; 2011 studio recording"
]

[
    "Q33 - Finland: country in Northern Europe",
    "Q62633 - Grand Principality of Finland: predecessor state of modern Finland",
    "Q2983474 - Finnish National Gallery: organization of three museums that make up the largest art museum institution of Finland",
    "Q499029 - Social Democratic Party of Finland: registered political party in Finland",
    "Q5450446 - Finland: constituency of the European Parliament"
]

[
    "Q85785068 - Metro Cash & Carry Pakistan: Pakistani supermarket chain"
]

[
    "Q704606 - Makro: Dutch brand of supermarket chains",
    "Q3842164 - Makrobiusz: male given name",
    "Q18024604 - makro: None",
    "Q10323264 - Makro: None",
    "Q62246 - polycarbonate: family of polymers"
]

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates

Output: None of the candidates