Adidas

Split and rivalry with Puma

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: Adidas, Split and rivalry with Puma: Thebrothers split upin 1947 after relations between them had broken down,with Adolf forming a company registered as Adidas AG, fromAdi Dassler, on 18 August 1949, and Rudolf forming a new firm that he called Ruda – fromRudolf Dassler, later rebrandedPuma.Urban mythshave popularised two falsebackronymsfor the name "Adidas":All Day I Dream About SportsandAll Day I Dream About Sex. Adidas andPuma SEentered into a fierce and bitter business rivalry after the split. The town ofHerzogenaurachwas divided on the issue, leading to the nickname "the town of bent necks"—people looked down to see which shoes strangers wore.Even the town's twofootball clubswere divided:ASV Herzogenaurachclub was supported by Adidas, while1 FC Herzogenaurachendorsed Rudolf's footwear.When handymen were called to Rudolf's home, they would deliberately wear Adidas shoes. Rudolf would tell them to go to the basement and pick out a pair of free Pumas.The two brothers never reconciled and although they are now buried in the same cemetery, they are spaced as far apart as possible. In 1948, the first football match afterWorld War II, several members of theWest Germany national football teamwore Puma boots, including the scorer of West Germany's first post-war goal,Herbert Burdenski. Four years later, at the1952 Summer Olympics,1500 metresrunnerJosy BarthelofLuxembourgwon Puma's first Olympic gold inHelsinki, Finland. At the1960 Summer Olympics, Puma paid German sprinterArmin Haryto wear Pumas in the 100 meter sprint final. Hary had worn Adidas before and asked Adolf for payment, but Adidas rejected this request. The German won gold in Pumas, but then laced up Adidas for the medals ceremony, to the shock of the two Dassler brothers. Hary hoped to cash in from both, but Adi was so enraged he banned the Olympic champion. The "Pelé Pact" was the most notable event in the Dassler brothers feud, when both owners of Adidas and Puma agreed not to sign a sponsorship deal withPeléfor the1970 FIFA World Cup, feeling that a bidding war for the most famous athlete in the world would become too expensive, only for Puma to break the pact and sign him.Many business experts credit the brothers' rivalry and competition for transforming sports apparel into a multi-billion pound industry.

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["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", 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["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"], ["Herzogenaurach", "Place"], ["Adolf_Dassler", "Person"], ["Adidas", "Company"], ["Rudolf_Dassler", "Person"], ["Puma", "Company"],


Adidas

Split and rivalry with Puma

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: Adidas, Split and rivalry with Puma: Thebrothers split upin 1947 after relations between them had broken down,with Adolf forming a company registered as Adidas AG, fromAdi Dassler, on 18 August 1949, and Rudolf forming a new firm that he called Ruda – fromRudolf Dassler, later rebrandedPuma.Urban mythshave popularised two falsebackronymsfor the name "Adidas":All Day I Dream About SportsandAll Day I Dream About Sex. Adidas andPuma SEentered into a fierce and bitter business rivalry after the split. The town ofHerzogenaurachwas divided on the issue, leading to the nickname "the town of bent necks"—people looked down to see which shoes strangers wore.Even the town's twofootball clubswere divided:ASV Herzogenaurachclub was supported by Adidas, while1 FC Herzogenaurachendorsed Rudolf's footwear.When handymen were called to Rudolf's home, they would deliberately wear Adidas shoes. Rudolf would tell them to go to the basement and pick out a pair of free Pumas.The two brothers never reconciled and although they are now buried in the same cemetery, they are spaced as far apart as possible. In 1948, the first football match afterWorld War II, several members of theWest Germany national football teamwore Puma boots, including the scorer of West Germany's first post-war goal,Herbert Burdenski. Four years later, at the1952 Summer Olympics,1500 metresrunnerJosy BarthelofLuxembourgwon Puma's first Olympic gold inHelsinki, Finland. At the1960 Summer Olympics, Puma paid German sprinterArmin Haryto wear Pumas in the 100 meter sprint final. Hary had worn Adidas before and asked Adolf for payment, but Adidas rejected this request. The German won gold in Pumas, but then laced up Adidas for the medals ceremony, to the shock of the two Dassler brothers. Hary hoped to cash in from both, but Adi was so enraged he banned the Olympic champion. The "Pelé Pact" was the most notable event in the Dassler brothers feud, when both owners of Adidas and Puma agreed not to sign a sponsorship deal withPeléfor the1970 FIFA World Cup, feeling that a bidding war for the most famous athlete in the world would become too expensive, only for Puma to break the pact and sign him.Many business experts credit the brothers' rivalry and competition for transforming sports apparel into a multi-billion pound industry.

[["Adidas", "has_product_line", "Football"], ["Adidas", "has_product_line", "Athletics"], ["Adidas", "has_product_line", "Basketball"], ["Adidas", "has_product_line", "Training"], ["Adidas", "has_product_line", "Team Sports"], ["Adidas", "has_product_line", "Casual"], ["Adidas", "has_product_line", "School"], ["Adidas", "has_product_line", "Sports"], ["Adidas", "has_product_line", "Youth"], ["Adidas", "has_product_line", "Sandals"], ["Adidas", "has_product_line", "Shoes"], ["Adidas", "has_product_line", "Socks"], ["Adidas", "has_product_line", "Clothing"], ["Adidas", "has_product_line", "Sleepwear"], ["Adidas", "has_product_line", "Swimwear"], ["Adidas", "has_product_line", "Athletic Shoes"], ["Adidas", "has_product_line", "Court Shoes"], ["Adidas", "has_product_line", "Slip-On Shoes"], ["Adidas", "has_product_line", "Running Shoes"], ["Adidas", "has_product_line", "Sandwich"], ["Adidas", "has_product_line", "Submarine"], ["Adidas", "has_product_line", "Surfboard"], ["Adidas", "has_product_line", "Skiing"], ["Adidas", "has_product_line", "Snowboarding"], ["Adidas", "has_product_line", "Sports Equipment"], ["Adidas", "has_product_line", "Nutrition"], ["Adidas", "has_product_line", "Medical Supplies"], ["Adidas", "has_product_line", "Baby Products"], ["Adidas", "has_product_line", "Cosmetics"], ["Adidas", "has_product_line", "Food"], ["Adidas", "has_product_line", "Drinks"], ["Adidas", "has_product_line", "Smoking"], ["Adidas", "has_product_line", "Athlete"], ["Adidas", "has_product_line", "Film"], ["Adidas", "has_product_line", "Place"], ["Adidas", "has_product_line", "Ethnic Group"], ["Adidas", "has_product_line", "Country"], ["Adidas", "has_product_line", "City"], ["Adidas", "has_product_line", "Language", "IsPartOf": "Country"}, {"Adidas", "has_product_line", "University"], {"Adidas", "has_product_line", "State"], {"Adidas", "has_product_line", "SportsTeam"], {"Adidas", "has_product_line", "Person"], {"Adidas", "has_product_line", "Organisation"}, {"Adidas", "has_product_line", "Anthem"], {"Adidas", "has_product_line", "Currency"], {"Adidas", "has_product_line", "Season'], {"Adidas", "has_product_line", "League'], {"Adidas", "has_product_line", "CityType'}, {"Adidas", "has_product_line", "Country'], {"Adidas", "has_product_line", "Division'], {"Adidas", "has_product_line', "Saint'], {"Adidas", "has_product_line', "Place'], {"Adidas", "has_product_line', "Demonym'}, {"Adidas", "has_product_line', "EthnicGroup'}]


Adidas

Corporate image

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: Adidas, Corporate image: In 1952, following the1952 Summer Olympics, Adidas acquired its signature 3-stripe logo from the Finnish athletic footwear brandKarhu Sports, for two bottles of whiskey and the equivalent of €1,600. The Trefoil logo was designed in 1971 and launched in 1972,just in time for the1972 Summer Olympicsheld inMunich.This logo lasted until 1997, when the company introduced the "three bars" logo (that had been designed by then Creative Director Peter Moore), initially used on theEquipmentrange of products.

[["Adidas", "Company"], ["Karhu_Sports", "Company"], ["Finnish", "Country"], ["1952", "Year"], ["Olympic_Summer_Games", "Event"], ["Two_bottles_of_whiskey", "Thing"], ["1600_Euro", "number"], ["Trefoil_logo", "Product"], ["1971", "Year"], ["1972", "Year"], ["Olympic_Summer_Games", "Event"], ["Munich", "City"], ["Three_stripe_logo", "Product"], ["Peter_Moore", "Person"], ["1997", "Year"], ["Equipment_(Adidas)", "Product"]]


Adidas

Corporate image

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: Adidas, Corporate image: In 1952, following the1952 Summer Olympics, Adidas acquired its signature 3-stripe logo from the Finnish athletic footwear brandKarhu Sports, for two bottles of whiskey and the equivalent of €1,600. The Trefoil logo was designed in 1971 and launched in 1972,just in time for the1972 Summer Olympicsheld inMunich.This logo lasted until 1997, when the company introduced the "three bars" logo (that had been designed by then Creative Director Peter Moore), initially used on theEquipmentrange of products.

[["Adidas", "has_product_line", "Adidas_Equipment"], ["Adidas", "acquired", "Karhu_Sports"], ["Adidas", "has_product_line", "Trefoil_logo"], ["Adidas", "acquired", "1952_Summer_Olympics"], ["Adidas", "has_product_line", "Three_stripe_logo"], ["Adidas", "has_product_line", "Three_bars_logo"], ["Three_bars_logo", "designed", "Peter_Moore_(designer)"], ["Three_bars_logo", "in_year", "1997"], ["Trefoil_logo", "in_year", "1972"], ["Adidas", "acquired", "Two_bottles_of_whiskey"], ["Adidas", "acquired", "1600_Euro"], ["1972_Summer_Olympics", "city", "Munich"]]


Adidas

Tapie affair

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: Adidas, Tapie affair: After a period of trouble following the death of Adolf Dassler's sonHorst Dasslerin 1987, the company was bought in 1990 by French industrialistBernard Tapie, for₣1.6billion(now €243.9 million), which Tapie borrowed.Tapie was at the time a famous specialist of rescuing bankrupt companies, an expertise on which he built his fortune. Tapie decided to move productionoffshoreto Asia. He also hiredMadonnafor promotion.He sent, fromChristchurch, New Zealand, a shoe sales representative to Germany and met Adolf Dassler's descendants, Amelia Randall Dassler and Bella Beck Dassler, and was sent back with a few items to promote the company there. In 1992, unable to pay the loan interest, Tapie mandated theCrédit Lyonnaisbank to sell Adidas.The bank converted the outstanding debt owed intoequityin Adidas, which was unusual per the prevalent French banking practice. Thestate-ownedbank had tried to get Tapie out of dire financial straits as a personal favour to Tapie, it is reported, because Tapie wasMinisterof Urban Affairs (ministre de la Ville) in the French government at the time. Robert Louis-Dreyfus, a friend of Tapie, became the new CEO of the company in 1994. He was also the president ofOlympique de Marseille, a team Tapie had owned until 1993.In 1994, Tapie filed for personal bankruptcy.He was the object of several lawsuits, notably related tomatch fixingat the football club. In 1997, he served 6 months of an 18-month prison sentence inLa Santéprison in Paris. In February 2000, Crédit Lyonnais sold Adidas to Louis-Dreyfus for a much higher amount of money than Tapie owed, 4.485 billion (€683.514 million) francs rather than 2.85 billion (€434.479 million).

[["Adidas", "Company"], ["Bernard_Tapie", "Person"], ["Adolf_Dassler", "Person"], ["Horst_Dassler", "Person"], ["Crédit_Lyonnais", "Company"], ["Robert_Louis-Dreyfus", "Person"], ["Olympique_de_Marseille", "Company"], ["La_Santé", "Place"], ["Madonna", "Person"], ["France", "Place"], ["1.6_billion_(dollars)", "number"], ["2000-02-28", "Date"], ["Adidas", "Product"], ["New_Zealand", "Place"], ["434.479_million_(dollars)", "number"], ["4.485_billion_(dollars)", "number"], ["Urban_Affairs", "Place"], ["Germany", "Place"], ["Amelia_Randall_Dassler", "Person"], ["Bella_Beck_Dassler", "Person"], ["Match_fixing", "Company"], ["18.0", "number"], ["6.0", "number"], ["Paris", "Place"], ["1997-12-31", "Date"], ["434.479_million_(dollars)", "number"], ["France", "Company"], ["Adidas", "Company"], ["Bernard_Tapie", "Person"], ["La_Santé", "Place"], ["Robert_Louis-Dreyfus", "Person"], ["Olympique_de_Marseille", "Company"], ["New_Zealand", "Place"], ["1994-06-30", "Date"], ["Adidas", "Company"], ["France", "Place"], ["Madonna", "Person"], ["Offshore", "Place"], ["Asia", "Place"], ["2.85_billion_(dollars)", "number"], ["1997-12-31", "Date"], ["Urban_Affairs", "Place"], ["Germany", "Place"], ["Amelia_Randall_Dassler", "Person"], ["Bella_Beck_Dassler", "Person"], ["Bernard_Tapie", "Person"], ["Adidas", "Company"], ["Robert_Louis-Dreyfus", "Person"], ["Crédit_Lyonnais", "Company"], ["Paris", "Place"], ["Match_fixing", "Company"], ["La_Santé", "Place"], ["1994-06-30", "Date"], ["France", "Company"], ["Madonna", "Person"], ["Offshore", "Place"], ["Asia", "Place"], ["2000-02-28", "Date"], ["434.479_million_(dollars)", "number"], ["4.485_billion_(dollars)", "number"]]


Adidas

Tapie affair

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: Adidas, Tapie affair: After a period of trouble following the death of Adolf Dassler's sonHorst Dasslerin 1987, the company was bought in 1990 by French industrialistBernard Tapie, for₣1.6billion(now €243.9 million), which Tapie borrowed.Tapie was at the time a famous specialist of rescuing bankrupt companies, an expertise on which he built his fortune. Tapie decided to move productionoffshoreto Asia. He also hiredMadonnafor promotion.He sent, fromChristchurch, New Zealand, a shoe sales representative to Germany and met Adolf Dassler's descendants, Amelia Randall Dassler and Bella Beck Dassler, and was sent back with a few items to promote the company there. In 1992, unable to pay the loan interest, Tapie mandated theCrédit Lyonnaisbank to sell Adidas.The bank converted the outstanding debt owed intoequityin Adidas, which was unusual per the prevalent French banking practice. Thestate-ownedbank had tried to get Tapie out of dire financial straits as a personal favour to Tapie, it is reported, because Tapie wasMinisterof Urban Affairs (ministre de la Ville) in the French government at the time. Robert Louis-Dreyfus, a friend of Tapie, became the new CEO of the company in 1994. He was also the president ofOlympique de Marseille, a team Tapie had owned until 1993.In 1994, Tapie filed for personal bankruptcy.He was the object of several lawsuits, notably related tomatch fixingat the football club. In 1997, he served 6 months of an 18-month prison sentence inLa Santéprison in Paris. In February 2000, Crédit Lyonnais sold Adidas to Louis-Dreyfus for a much higher amount of money than Tapie owed, 4.485 billion (€683.514 million) francs rather than 2.85 billion (€434.479 million).

[["Adidas", "acquired", "Bernard_Tapie"], ["Bernard_Tapie", "has_product_line", "Adidas"], ["Adidas", "has_CEO", "Robert_Louis-Dreyfus"], ["Adidas", "has_CEO", "Bernard_Tapie"], ["Adidas", "acquired", "Crédit_Lyonnais"], ["Adidas", "has_CEO", "Olympique_de_Marseille"], ["Adidas", "has_product_line", "Madonna"], ["Adidas", "has_CEO", "Amelia_Randall_Dassler"], ["Adidas", "has_CEO", "Bella_Beck_Dassler"], ["Adidas", "acquired", "Crédit_Lyonnais"], ["Adidas", "has_CEO", "Christchurch,_New_Zealand"], ["Adidas", "has_CEO", "Minister_of_Urban_Affairs"], ["Adidas", "has_CEO", "La_Santé"], ["Adidas", "has_CEO", "French_politics"], ["Adidas", "has_CEO", "Match-fixing_scandal"], ["Adidas", "has_CEO", "Robert_Louis-Dreyfus"], ["Adidas", "has_CEO", "Urban_Affairs_Ministry"], ["Adidas", "has_CEO", "Olympique_de_Marseille"], ["Adidas", "has_CEO", "Bernard_Tapie"], ["Adidas", "has_CEO", "La_Santé_prison"], ["Adidas", "has_CEO", "France"], ["Adidas", "has_CEO", "Adolf_Dassler"], ["Adidas", "has_CEO", "Amelia_Randall_Dassler"], ["Adidas", "has_CEO", "Bella_Beck_Dassler"], ["Adidas", "has_CEO", "Christchurch,_New_Zealand"], ["Adidas", "has_CEO", "Urban_Affairs_Ministry"], ["Adidas", "has_CEO", "Minister_of_Urban_Affairs"], ["Adidas", "has_CEO", "La_Santé_prison"], ["Adidas", "has_CEO", "Match-fixing_scandal"], ["Adidas", "has_CEO", "French_politics"], ["Adidas", "has_CEO", "Robert_Louis-Dreyfus"], ["Adidas", "acquired", "Adolf_Dassler"], ["Adidas", "has_CEO", "Bernard_Tapie"], ["Adidas", "has_CEO", "Crédit_Lyonnais"], ["Adidas", "has_CEO", "Adolf_Dassler"], ["Adidas", "has_CEO", "Horst_Dassler"], ["Adidas", "has_CEO", "Olympique_de_Marseille"], ["Adidas", "has_CEO", "Robert_Louis-Dreyfus"], ["Adidas", "has_CEO", "La_Santé_prison"], ["Adidas", "has_CEO", "Match-fixing_scandal"], ["Adidas", "has_CEO", "French_politics"], ["Adidas", "has_CEO", "Urban_Affairs_Ministry"], ["Adidas", "has_CEO", "Minister_of_Urban_Affairs"], ["Adidas", "has_CEO", "Bernard_Tapie"], ["Adidas", "has_CEO", "Christchurch,_New_Zealand"], ["Adidas", "has_CEO", "Amelia_Randall_Dassler"], ["Adidas", "has_CEO", "Bella_Beck_Dassler"], ["Adidas", "acquired", "Bernard_Tapie"], ["Adidas", "has_CEO", "Crédit_Lyonnais"], ["Adidas", "has_CEO", "Adolf_Dassler"], ["Adidas", "has_CEO", "Horst_Dassler"]]


Adidas

Post-Tapie era

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: Adidas, Post-Tapie era: In 1994, combined withFIFAYouth Group,SOS Children's Villagesbecame the main beneficiary. In 1997, Adidas AG acquired theSalomon Groupwho specialized in ski wear, and its official corporate name was changed to Adidas-Salomon AG. With this acquisition Adidas also acquired theTaylorMadegolf company andMaxfli, which allowed them to compete withNikeGolf. In 1998, Adidas sued theNCAAover their rules limiting the size and number of commercial logos on team uniforms and team clothing. Adidas withdrew the suit, and the two groups established guidelines as to what three-stripe designs would be considered uses of the Adidas trademark. As CEO of Adidas, Louis-Dreyfus quadrupled revenue to €5.84 billion ($7.5 billion) from 1993 through 2000.In 2000, he announced he would resign the following year, due to illness. In 2003, Adidas filed a lawsuit in a British court challenging Fitness World Trading's use of a two-stripe motif similar to Adidas'sthree stripes. The court ruled that despite the simplicity of the mark,Fitness World's use was infringing because the public could establish a link between that use and Adidas's mark. In September 2004, English fashion designerStella McCartneylaunched a joint-venture line with Adidas, establishing a long-term partnership with the corporation. This line is a sports performance collection for women called "Adidas by Stella McCartney". On 3 May 2005, Adidas informed the public that they had sold their partner companySalomon Groupfor €485 million toAmer Sportsof Finland. In August 2005, Adidas declared its intention to buyReebokfor $3.8 billion (US$). This takeover was completed with partnership in January 2006and meant that the company had business sales closer to those ofNikein North America. The acquisition of Reebok also allowed Adidas to compete with Nike worldwide as the number two athletic shoemaker in the world. In 2005, Adidas introduced theAdidas 1, the first ever production shoe to use amicroprocessor. Dubbed by the company "The World's First Intelligent Shoe", it features a microprocessor capable of performing 5 million calculations per second that automatically adjusts the shoe's level of cushioning to suit its environment. The shoe requires a small, user-replaceable battery that lasts for approximately 100 hours of running. On 25 November 2005, Adidas released a new version of the Adidas 1 with an increased range of cushioning, allowing the shoe to become softer or firmer, and a new motor with 153 percent more torque. In April 2006, Adidas announced an 11-year deal to become the officialNBAclothing provider. The company has been makingNBA,NBDL, andWNBAjerseys and products as well as team-coloured versions of the "Superstar" basketball shoe. This deal (worth over $400 million) took over the previous Reebok deal that had been put in place in 2001 for 10 years. In November 2011, Adidas announced that it would acquire outdoor action sport performance brandFive Tenthrough a share purchase agreement. The total purchase price was US$25 million in cash at closing.

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Adidas

Post-Tapie era

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: Adidas, Post-Tapie era: In 1994, combined withFIFAYouth Group,SOS Children's Villagesbecame the main beneficiary. In 1997, Adidas AG acquired theSalomon Groupwho specialized in ski wear, and its official corporate name was changed to Adidas-Salomon AG. With this acquisition Adidas also acquired theTaylorMadegolf company andMaxfli, which allowed them to compete withNikeGolf. In 1998, Adidas sued theNCAAover their rules limiting the size and number of commercial logos on team uniforms and team clothing. Adidas withdrew the suit, and the two groups established guidelines as to what three-stripe designs would be considered uses of the Adidas trademark. As CEO of Adidas, Louis-Dreyfus quadrupled revenue to €5.84 billion ($7.5 billion) from 1993 through 2000.In 2000, he announced he would resign the following year, due to illness. In 2003, Adidas filed a lawsuit in a British court challenging Fitness World Trading's use of a two-stripe motif similar to Adidas'sthree stripes. The court ruled that despite the simplicity of the mark,Fitness World's use was infringing because the public could establish a link between that use and Adidas's mark. In September 2004, English fashion designerStella McCartneylaunched a joint-venture line with Adidas, establishing a long-term partnership with the corporation. This line is a sports performance collection for women called "Adidas by Stella McCartney". On 3 May 2005, Adidas informed the public that they had sold their partner companySalomon Groupfor €485 million toAmer Sportsof Finland. In August 2005, Adidas declared its intention to buyReebokfor $3.8 billion (US$). This takeover was completed with partnership in January 2006and meant that the company had business sales closer to those ofNikein North America. The acquisition of Reebok also allowed Adidas to compete with Nike worldwide as the number two athletic shoemaker in the world. In 2005, Adidas introduced theAdidas 1, the first ever production shoe to use amicroprocessor. Dubbed by the company "The World's First Intelligent Shoe", it features a microprocessor capable of performing 5 million calculations per second that automatically adjusts the shoe's level of cushioning to suit its environment. The shoe requires a small, user-replaceable battery that lasts for approximately 100 hours of running. On 25 November 2005, Adidas released a new version of the Adidas 1 with an increased range of cushioning, allowing the shoe to become softer or firmer, and a new motor with 153 percent more torque. In April 2006, Adidas announced an 11-year deal to become the officialNBAclothing provider. The company has been makingNBA,NBDL, andWNBAjerseys and products as well as team-coloured versions of the "Superstar" basketball shoe. This deal (worth over $400 million) took over the previous Reebok deal that had been put in place in 2001 for 10 years. In November 2011, Adidas announced that it would acquire outdoor action sport performance brandFive Tenthrough a share purchase agreement. The total purchase price was US$25 million in cash at closing.

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