Dickies

Dickies

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: Dickies, Dickies: Williamson-Dickie Mfg. Co.is an Americanapparel manufacturing company primarily known for its largest brand, Dickies. The U.S. corporate division was founded inFort Worth, Texas, in 1922 by C. N. Williamson and E. E. "Colonel" Dickie, who began adenimbib overallcompany selling workwear to farm and ranch hands around the Southwest. Today, Dickies is a global brand found in more than 100 countries designing,manufacturing, and selling workwear to theautomotive,hospitality,construction, andmedical industries.

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Dickies

Dickies

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: Dickies, Dickies: Williamson-Dickie Mfg. Co.is an Americanapparel manufacturing company primarily known for its largest brand, Dickies. The U.S. corporate division was founded inFort Worth, Texas, in 1922 by C. N. Williamson and E. E. "Colonel" Dickie, who began adenimbib overallcompany selling workwear to farm and ranch hands around the Southwest. Today, Dickies is a global brand found in more than 100 countries designing,manufacturing, and selling workwear to theautomotive,hospitality,construction, andmedical industries.

[["Dickies", "parent_company", "Williamson-Dickie_Manufacturing_Company"], ["Dickies", "founded_by", "\"C. N. Williamson and E. E. (Colonel) Dickie\""], ["Dickies", "location", "Fort_Worth,_Texas"], ["Dickies", "product", "Workwear"], ["Dickies", "industry", "\"Automotive, Hospitality, Construction, Medical\""], ["Dickies", "foundationYear", "1922"], ["Dickies", "numberOfLocations", "100"], ["Dickies", "country", "United_States"], ["Dickies", "hasToItsName", "Denim"]]


Dickies

History

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: Dickies, History: Cousins C. N. Williamson and E. E. "Colonel" Dickie were successful salesmen and had already spent 25 years together selling hats in Texas southwest territory. In 1918, they and a few friends established the U.S.OverallCompany inFort Worth, Texas. Then, in 1922, Col. Dickie, C. N. Williamson and his son C. D. Williamson purchased 100% of the Overall Company on a one-third-each basis and renamed it Williamson-Dickie Manufacturing Company. From its early years, Williamson-Dickie enjoyed steady growth which was slowed only by the Great Depression, and duringWorld War IIthe company produced millions of uniforms for the nation's armed forces. In converting to civilian production after the war, C. Don Williamson began a strategy of geographical expansion and established new production facilities, warehouses, and sales territories throughout the United States. In the late 1950s, Williamson-Dickie became an international company by expanding into the European market and theMiddle Easternmarket—where Texas oilmen introduced the Dickies brand toMiddle Eastern oil fields. In 2008 Williamson-Dickies acquired Kodiak Group Holdings Inc. of Canada.In 2013 Dickies acquired Walls. In 2014, Jerry Leigh ofCaliforniabecame the exclusive licensee for Dickies Girl juniors' apparel. VF Corporationacquired Williamson-Dickie in 2017 for $820 million in cash. Williamson-Dickie Europe Ltd is based in the U.K. inWestfield, Somerset. Previously known as Dickies UK, this division of the company now operates across the entirety of Europe and the Middle East for both the workwear and streetwear product ranges. In late November 2024, it was announced that Dickies' headquarters would be relocating to California by the end of May 2025.

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["Walls_(company)", "Product"], ["Dickies_Girl", "Company"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Company"], ["Texas", "Company"], ["United_States", "Place"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_I", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Company"], ["Dickies_Girl", "Product"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Country"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_II", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Product"], ["Dickies_Girl", "Company"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Company"], ["Texas", "Company"], ["United_States", "Place"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_I", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Company"], ["Dickies_Girl", "Product"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Country"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_II", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Product"], ["Dickies_Girl", "Company"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Company"], ["Texas", "Company"], ["United_States", "Place"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_I", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Company"], ["Dickies_Girl", "Product"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Country"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_II", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Product"], ["Dickies_Girl", "Company"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Company"], ["Texas", "Company"], ["United_States", "Place"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_I", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Company"], ["Dickies_Girl", "Product"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Country"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_II", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Product"], ["Dickies_Girl", "Company"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Company"], ["Texas", "Company"], ["United_States", "Place"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_I", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Company"], ["Dickies_Girl", "Product"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Country"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_II", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Product"], ["Dickies_Girl", "Company"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Company"], ["Texas", "Company"], ["United_States", "Place"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_I", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Company"], ["Dickies_Girl", "Product"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Country"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_II", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Product"], ["Dickies_Girl", "Company"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Company"], ["Texas", "Company"], ["United_States", "Place"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_I", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Company"], ["Dickies_Girl", "Product"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Country"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_II", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Product"], ["Dickies_Girl", "Company"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Company"], ["Texas", "Company"], ["United_States", "Place"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_I", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Company"], ["Dickies_Girl", "Product"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Country"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_II", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Product"], ["Dickies_Girl", "Company"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Company"], ["Texas", "Company"], ["United_States", "Place"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_I", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Company"], ["Dickies_Girl", "Product"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Country"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_II", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Product"], ["Dickies_Girl", "Company"], ["United_States", "Country"], ["California", "Place"], ["United_Kingdom", "Company"], ["Texas", "Company"], ["United_States", "Place"], ["Dickies", "Company"], ["Williamson-Dickie_Manufacturing_Company", "Company"], ["C._Don_Williamson", "Person"], ["Great_Depression", "Event"], ["World_War_I", "Event"], ["United_Kingdom", "Place"], ["Kodiak_Group_Holdings,_Inc.", "Company"], ["Walls_(company)", "Company"], ["Dickies_Girl", "Product"], 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Dickies

History

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: Dickies, History: Cousins C. N. Williamson and E. E. "Colonel" Dickie were successful salesmen and had already spent 25 years together selling hats in Texas southwest territory. In 1918, they and a few friends established the U.S.OverallCompany inFort Worth, Texas. Then, in 1922, Col. Dickie, C. N. Williamson and his son C. D. Williamson purchased 100% of the Overall Company on a one-third-each basis and renamed it Williamson-Dickie Manufacturing Company. From its early years, Williamson-Dickie enjoyed steady growth which was slowed only by the Great Depression, and duringWorld War IIthe company produced millions of uniforms for the nation's armed forces. In converting to civilian production after the war, C. Don Williamson began a strategy of geographical expansion and established new production facilities, warehouses, and sales territories throughout the United States. In the late 1950s, Williamson-Dickie became an international company by expanding into the European market and theMiddle Easternmarket—where Texas oilmen introduced the Dickies brand toMiddle Eastern oil fields. In 2008 Williamson-Dickies acquired Kodiak Group Holdings Inc. of Canada.In 2013 Dickies acquired Walls. In 2014, Jerry Leigh ofCaliforniabecame the exclusive licensee for Dickies Girl juniors' apparel. VF Corporationacquired Williamson-Dickie in 2017 for $820 million in cash. Williamson-Dickie Europe Ltd is based in the U.K. inWestfield, Somerset. Previously known as Dickies UK, this division of the company now operates across the entirety of Europe and the Middle East for both the workwear and streetwear product ranges. In late November 2024, it was announced that Dickies' headquarters would be relocating to California by the end of May 2025.

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'Colonel' Dickie\""], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_Girl"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Walls"], ["Williamson-Dickie_Manufacturing_Company", "location", "West_Field,_Somerset"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Streetwear"], ["Williamson-Dickie_Manufacturing_Company", "parent_company", "VF_Corporation"], ["Williamson-Dickie_Manufacturing_Company", "founding_date", "1918"], ["Williamson-Dickie_Manufacturing_Company", "location", "Texas"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Military_uniform"], ["Williamson-Dickie_Manufacturing_Company", "key_person", "C. Don Williamson"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_boy"], ["Williamson-Dickie_Manufacturing_Company", "key_person", "Jerry_Leigh"], ["Williamson-Dickie_Manufacturing_Company", "location", "United_States"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies"], ["Williamson-Dickie_Manufacturing_Company", "key_person", "C. N. Williamson"], ["Williamson-Dickie_Manufacturing_Company", "founding_date", "1922"], ["Williamson-Dickie_Manufacturing_Company", "location", "California"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Kodiak_Group"], ["Williamson-Dickie_Manufacturing_Company", "key_person", "E. E. \"Colonel\" Dickie"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_Girl"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_boy"], ["Williamson-Dickie_Manufacturing_Company", "key_person", "C. D. Williamson"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Workwear"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Military_uniform"], ["Williamson-Dickie_Manufacturing_Company", "location", "United_Kingdom"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies"], ["Williamson-Dickie_Manufacturing_Company", "key_person", "Dick_Harding"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Streetwear"], ["Williamson-Dickie_Manufacturing_Company", "key_person", "Dick_Harding_(businessman)"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_boy"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_Girl"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Workwear"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Military_uniform"], ["Williamson-Dickie_Manufacturing_Company", "key_person", "John_Williamson"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies"], ["Williamson-Dickie_Manufacturing_Company", "location", "Texas"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_Girl"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_boy"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Workwear"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Military_uniform"], ["Williamson-Dickie_Manufacturing_Company", "key_person", "C. N. Williamson"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies"], ["Williamson-Dickie_Manufacturing_Company", "location", "Fort_Worth,_Texas"], ["Williamson-Dickie_Manufacturing_Company", "key_person", "E. E. \"Colonel\" Dickie"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_Girl"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_boy"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Workwear"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Military_uniform"], ["Williamson-Dickie_Manufacturing_Company", "key_person", "C. D. Williamson"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies"], ["Williamson-Dickie_Manufacturing_Company", "location", "West_Field,_Somerset"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_Girl"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_boy"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Workwear"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Military_uniform"], ["Williamson-Dickie_Manufacturing_Company", "key_person", "Dick_Harding_(businessman)"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies"], ["Williamson-Dickie_Manufacturing_Company", "location", "United_States"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_Girl"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_boy"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Workwear"], ["Williamson-Dickie_Manufacturing_Company", "has_product_line", "Military_uniform"}, {"Williamson-Dickie_Manufacturing_Company", "key_person", "John_Williamson"}, {"Williamson-Dickie_Manufacturing_Company", "location", "California"}, {"Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies"], {"Williamson-Dickie_Manufacturing_Company", "has_product_line", "Kodiak_Group"], {"Williamson-Dickie_Manufacturing_Company", "has_product_line", "Walls"}, {"Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_Girl"], {"Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_boy"}, {"Williamson-Dickie_Manufacturing_Company", "has_product_line", "Workwear"}, {"Williamson-Dickie_Manufacturing_Company", "has_product_line", "Military_uniform"}, {"Williamson-Dickie_Manufacturing_Company", "has_product_line", "Streetwear"}, {"Williamson-Dickie_Manufacturing_Company", "location", "United_Kingdom"}, {"Williamson-Dickie_Manufacturing_Company", "key_person", "Dick_Harding"}, {"Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies"}, {"Williamson-Dickie_Manufacturing_Company", "has_product_line", "Dickies_Girl"}]


Dickies

Retail and collaborations

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: Dickies, Retail and collaborations: Dickies is  sold in the U.S.,Saudi Arabia,South Africa,Australia,Russia,Chile,South Korea,Japan,Taiwan,Iceland,Canada,Germany,France,Italy,Ireland,Croatia, thePhilippines,Poland,Mongolia, andMexico. In June 2020, Dickies collaborated with the Japanese brand FACETASMcreating a capsule collection.

[["Dickies", "Company"], ["Japan", "Country"], ["FACETASM", "Company"], ["June_2020", "Date"], ["\"United States, Saudi Arabia, South Africa, Australia, Russia, Chile, South Korea, Japan, Taiwan, Iceland, Canada, Germany, France, Italy, Ireland, Croatia, the Philippines, Poland, Mongolia, Mexico\"", "Place"]]


Dickies

Retail and collaborations

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: Dickies, Retail and collaborations: Dickies is  sold in the U.S.,Saudi Arabia,South Africa,Australia,Russia,Chile,South Korea,Japan,Taiwan,Iceland,Canada,Germany,France,Italy,Ireland,Croatia, thePhilippines,Poland,Mongolia, andMexico. In June 2020, Dickies collaborated with the Japanese brand FACETASMcreating a capsule collection.

[["Dickies", "collaborated_with", "FACETASM"], ["Dickies", "market", "\"United States, Saudi Arabia, South Africa, Australia, Russia, Chile, South Korea, Japan, Taiwan, Iceland, Canada, Germany, France, Italy, Ireland, Croatia, the Philippines, Poland, Mongolia, Mexico\""], ["Dickies", "collaborated_with", "Japan"], ["Dickies", "launchDate", "\"June 2020\""]]