Former operations

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, Former operations: Metro sold in 2010, the Makro subsidiary inMorocco. In 2012, Metro exited theUnited Kingdommarket through the sale of its 30 Makro stores toBooker Group. In 2014, Metro divested itsGreeceoperations by selling 9 Makro stores to Sklavenitis. In 2014, Metro exitedVietnamby signing an agreement to sell its local subsidiary, consisting of 19 stores, to the Thai group Berli Jucker for €665 million. In December 2014, Metro exited theDenmarkmarket. They had pioneered in-store delivery services nationally since opening their first store in 1971. Egypthad a brief market foray in 2010 with two stores opening, but these were closed between 2013 and 2015. In April 2020, Metro completed the sale of a majority stake in its Chinese joint venture toWumei Technology Groupfor more than €1.5 billion. Metro retained a 20% ownership stake in the venture, which operates 97 wholesale centers acrossChina. In August 2021, Metro ceased operations inJapan, resulting in the closure of all its 10 stores within the country. In September 2021, Metro announced it would end its supply business inMyanmarby the end of October 2021. In 2022, Metro exited fromBelgiumthrough thebankruptcyof its local subsidiary, which operated stores under both the Metro and Makro brands.Notably, Belgium was the only country where Metro had stores under both brands, and it was also unique in allowing general access to its Makro network, typically reserved for business customers. Only Metro wholesale network stores that avoided bankruptcy were subsequently sold and reopened under the Sligro-M brand. In 2023, their operations inIndiawere sold toReliance Retail.

[["Metro_AG", "subsidiary", "Makro"], ["Metro_AG", "subsidiary", "Metro_India"], ["Metro_AG", "subsidiary", "Metro_Vietnam"], ["Metro_AG", "subsidiary", "Metro_Greece"], ["Metro_AG", "subsidiary", "Metro_Egypt"], ["Metro_AG", "subsidiary", "Metro_Japan"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_UK"], ["Metro_AG", "subsidiary", "Metro_China"], ["Metro_AG", "subsidiary", "Metro_Morocco"], ["Metro_AG", "subsidiary", "Metro_Morocco"], ["Metro_AG", "subsidiary", "Sklavenitis"], ["Metro_AG", "subsidiary", "Wumei_Technology_Group"], ["Metro_AG", "subsidiary", "Reliance_Retail"], ["Metro_AG", "subsidiary", "Sligro-M"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", 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"Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], ["Metro_AG", "subsidiary", "Metro_Belgium"], {"Domain": "Company", "Range": "Company'}], "Schema": [{'type': {'domain': 'Company', 'range': 'CompanyType'}}, {"areaTotal': {'domain': 'Company', 'range': 'number'}}, {'capital': {'domain': 'Country', 'range': 'City'}}, {'parentCompany': {'domain': 'Company', 'range': 'Company'}}, {'product': {'domain': 'Company', 'range': 'Product'}}, {'operatingIncome': {'domain': 'Company', 'range': 'number'}}, {'numberOfLocations': {'domain': 'Company', 'range': 'number'}}, {'foundingDate': {'domain': 'Company', 'range': 'Date'}}, {'location': {'domain': 'Company', 'range': 'Place'}}, {'numberOfEmployees': {'domain': 'Company', 'range': 'number'}}, {'regionServed': {'domain': 'Company', 'range': 'Place'}}, {'subsidiary': {'domain': 'Company', 'range': 'Company'}}, {'leaderTitle': {'domain': 'Person', 'range': 'string'}}, {'ethnicGroup': {'domain': 'Company', 'range': 'EthnicGroup'}}, {'city': {'domain': 'Company', 'range': 'City'}}, {'industry': {'domain': 'Company', 'range': 'Industry'}}, {'longName': {'domain': 'Company', 'range': 'string'}}, {'isPartOf': {'domain': 'Company', 'range': 'Company'}}, {'areaOfLand': {'domain': 'Place', 'range': 'number'}}, {'leader': {'domain': 'Company', 'range': 'Person'}}, {'elevationAboveTheSeaLevel': {'domain': 'Place', 'range': 'number'}}, {'foundationPlace': {'domain': 'Company', 'range': 'Place'}}, {'country': {'domain': 'Company', 'range': 'Country'}}, {'populationTotal': {'domain': 'Company', 'range': 'number'}}, {'service': {'domain': 'Company', 'range': 'Service'}}, {'leaderParty': {'domain': 'Person', 'range': 'Party'}}, {'keyPerson': {'domain': 'Company', 'range': 'Person'}}], "Text": GMA New Media, Inc. is a company in the mass media industry that was founded on 01-01-2000.


Metro name

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 name: In 2012, in the face of an impending brand conflict,Microsoftrenamed its Metro user interface of theMicrosoft Windows 8computer operating system (toMicrosoft Design Language, or MDL).

[["Metro_(design_language)", "company"], ["Microsoft", "company"], ["Metro_AG", "person"], ["Microsoft_Windows_8", "product"], ["2012", "date"], ["Microsoft_Design_Language", "string"]]


Metro name

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 name: In 2012, in the face of an impending brand conflict,Microsoftrenamed its Metro user interface of theMicrosoft Windows 8computer operating system (toMicrosoft Design Language, or MDL).

[["Metro_(design_language)", "occurred_in_year", "2012"], ["Metro_(design_language)", "was_a_response_to", "\"In the face of an impending brand conflict with Metro AG\""], ["Metro_(design_language)", "is_known_for", "Microsoft_Windows_8"], ["Metro_(design_language)", "has_an_alternative_name", "\"Microsoft Design Language, or MDL\""]]