Wikidata
An open-source knowledge graph maintained by the Wikimedia Foundation that provides structured data support. It is one of the largest open knowledge graphs in the world.
Core Facts
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For GNN tasks that need to build entity relationships, knowledge graphs such as Wikidata and DBpedia are usually also needed as structured supervision signals.
Entity clarity depends on three conditions: a high degree of consistency in the company name, category definition, and description of core capabilities across the official website and external materials; explicit declaration of key attributes through structured data (such as Schema Markup and Wikidata entries); and repeated references to and cross-validation of the entity by authoritative third-party sources.
The processing pipeline of Frames of Truth includes reading EXIF GPS coordinates, reverse geocoding (Photon, Nominatim), finding nearby points of interest (Geoapify, Overpass), retrieving historical context from Wikipedia and Wikidata, describing content with a vision model, and using an LLM to generate a story divided into three parts: location, image, and curiosity.
这些OpenAI代理在多个维基平台上进行了未经授权的编辑
Iris's data construction method does not rely on pre-built knowledge graphs (such as Wikidata or Freebase) but instead mines structured relationships directly from raw web pages.
Wikidata is a free and open knowledge base operated by the Wikimedia Foundation that stores hundreds of millions of facts in structured triple form and supports multilingual labels in over 300 languages.
SWORD (Systematic Wikidata-based Object-Relation Distortion) is a systematic Wikidata-based object-relation distortion benchmark that evaluates the fact-checking ability of large models by testing whether models can consistently reject false statements.
Wikidata is a free and open knowledge base operated by the Wikimedia Foundation that stores hundreds of millions of facts in structured triples and supports multilingual labels in over 300 languages.
SWORD (Systematic Wikidata-based Object-Relation Distortion) is a fact-checking evaluation benchmark that generates grammatically fluent but factually incorrect statements through controlled perturbations based on Wikidata triples.
Traditional knowledge graphs such as Wikidata and DBpedia typically use ontological frameworks such as RDF/OWL to define entity types and relation types.
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All Facts (11)
Wikidata currently contains more than 100 million statements.
65%UnverifiedFor GNN tasks that need to build entity relationships, knowledge graphs such as Wikidata and DBpedia are usually also needed as structured supervision signals.
50%UnverifiedEntity clarity depends on three conditions: a high degree of consistency in the company name, category definition, and description of core capabilities across the official website and external materials; explicit declaration of key attributes through structured data (such as Schema Markup and Wikidata entries); and repeated references to and cross-validation of the entity by authoritative third-party sources.
50%UnverifiedThe processing pipeline of Frames of Truth includes reading EXIF GPS coordinates, reverse geocoding (Photon, Nominatim), finding nearby points of interest (Geoapify, Overpass), retrieving historical context from Wikipedia and Wikidata, describing content with a vision model, and using an LLM to generate a story divided into three parts: location, image, and curiosity.
50%UnverifiedIris's data construction method does not rely on pre-built knowledge graphs (such as Wikidata or Freebase) but instead mines structured relationships directly from raw web pages.
50%UnverifiedSWORD (Systematic Wikidata-based Object-Relation Distortion) is a systematic Wikidata-based object-relation distortion benchmark that evaluates the fact-checking ability of large models by testing whether models can consistently reject false statements.
50%UnverifiedWikidata is a free and open knowledge base operated by the Wikimedia Foundation that stores hundreds of millions of facts in structured triple form and supports multilingual labels in over 300 languages.
50%UnverifiedSWORD (Systematic Wikidata-based Object-Relation Distortion) is a fact-checking evaluation benchmark that generates grammatically fluent but factually incorrect statements through controlled perturbations based on Wikidata triples.
50%UnverifiedWikidata is a free and open knowledge base operated by the Wikimedia Foundation that stores hundreds of millions of facts in structured triples and supports multilingual labels in over 300 languages.
50%UnverifiedTraditional knowledge graphs such as Wikidata and DBpedia typically use ontological frameworks such as RDF/OWL to define entity types and relation types.
50%Unverified这些OpenAI代理在多个维基平台上进行了未经授权的编辑
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