Wikidata
E37902
Wikidata is a collaboratively edited, multilingual knowledge base that provides structured data to support Wikipedia and other Wikimedia projects.
All labels observed (7)
| Label | Occurrences |
|---|---|
| Wikidata canonical | 68 |
| English Wikidata | 1 |
| Test Wikidata | 1 |
| Wikidata integration with Wikimedia Commons | 1 |
| Wikidata:Q2075 | 1 |
| Wikidata:Q461 | 1 |
| Wikimedia database | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T294249 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wikidata Context triple: [Wikimedia Foundation, operates, Wikidata]
-
A.
UNBIS Thesaurus
The UNBIS Thesaurus is a controlled vocabulary used by the United Nations for indexing and retrieving documents and information across its bibliographic and information systems.
-
B.
BIBFRAME
BIBFRAME (Bibliographic Framework) is a linked data model and standard developed by the Library of Congress to replace MARC for describing and sharing bibliographic information on the web.
-
C.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
-
D.
Wiphala
The Wiphala is a multicolored, checkered flag representing the Indigenous peoples of the Andes and widely recognized as a symbol of Indigenous identity and plurinationalism in Bolivia.
-
E.
SPARQL
SPARQL is a semantic query language and protocol used to retrieve and manipulate data stored in Resource Description Framework (RDF) format on the Semantic Web.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wikidata Target entity description: Wikidata is a collaboratively edited, multilingual knowledge base that provides structured data to support Wikipedia and other Wikimedia projects.
-
A.
UNBIS Thesaurus
The UNBIS Thesaurus is a controlled vocabulary used by the United Nations for indexing and retrieving documents and information across its bibliographic and information systems.
-
B.
BIBFRAME
BIBFRAME (Bibliographic Framework) is a linked data model and standard developed by the Library of Congress to replace MARC for describing and sharing bibliographic information on the web.
-
C.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
-
D.
Wiphala
The Wiphala is a multicolored, checkered flag representing the Indigenous peoples of the Andes and widely recognized as a symbol of Indigenous identity and plurinationalism in Bolivia.
-
E.
SPARQL
SPARQL is a semantic query language and protocol used to retrieve and manipulate data stored in Resource Description Framework (RDF) format on the Semantic Web.
- F. None of above. chosen
Statements (52)
| Predicate | Object |
|---|---|
| instanceOf |
Wikimedia project
ⓘ
collaboratively edited project ⓘ knowledge base ⓘ multilingual database ⓘ |
| contentLanguage | multilingual ⓘ |
| dataDumpLocation | https://dumps.wikimedia.org/wikidatawiki ⓘ |
| dataModel | statement-based RDF-like model ⓘ |
| developer | Wikimedia Deutschland ⓘ |
| hasAPIs |
MediaWiki API
ⓘ
linked to:
MediaWiki
SPARQL endpoint ⓘ |
| hasCommunityPortal | https://www.wikidata.org/wiki/Wikidata:Project_chat ⓘ |
| hasHelpPage | https://www.wikidata.org/wiki/Help:Contents ⓘ |
| hasNotableItemExample |
Q1
ⓘ
Q42 ⓘ |
| hasNotablePropertyExample |
P17
ⓘ
P21 ⓘ P279 ⓘ P31 ⓘ |
| inception | 2012-10-29 ⓘ |
| license | CC0 1.0 ⓘ |
| logoImage | Wikidata-logo-en.svg ⓘ |
| mainContentLicense | CC0 1.0 ⓘ |
| officialWebsite | https://www.wikidata.org ⓘ |
| operator | Wikimedia Foundation ⓘ |
| ownedBy | Wikimedia Foundation ⓘ |
| partOf |
Wikimedia projects
ⓘ
linked to:
Wikimedia ecosystem
|
| programmingLanguage |
JavaScript
ⓘ
PHP ⓘ |
| sourceCodeRepository |
https://gerrit.wikimedia.org/r/admin/repos/mediawiki/extensions/Wikibase
ⓘ
https://github.com/wikimedia/mediawiki-extensions-Wikibase ⓘ |
| SPARQLEndpointURL | https://query.wikidata.org/sparql ⓘ |
| stores |
aliases
ⓘ
descriptions ⓘ lexicographical data ⓘ multilingual labels ⓘ qualifiers ⓘ references ⓘ structured data ⓘ |
| supportsLanguageCount | 300+ ⓘ |
| supportsProject |
Wikibooks
ⓘ
Wikidata Query Service ⓘ Wikimedia Commons ⓘ Wikinews ⓘ Wikipedia ⓘ Wikisource ⓘ Wikiversity ⓘ Wikivoyage ⓘ Wiktionary ⓘ |
| usesExtension | Wikibase ⓘ |
| usesSoftware | MediaWiki ⓘ |
| WikibaseItemNamespace | 0 ⓘ |
| WikibasePropertyNamespace | 120 ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Wikidata Description of subject: Wikidata is a collaboratively edited, multilingual knowledge base that provides structured data to support Wikipedia and other Wikimedia projects.
Referenced by (74)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Wikidata
linked to: Wikidata
linked to: Wikidata
subject linked to:
WF
linked to: Wikidata