Abstract Wikipedia
E211383
Abstract Wikipedia is a Wikimedia project aiming to create language-independent, structured representations of encyclopedia articles that can be rendered into many natural languages.
All labels observed (7)
How this entity was disambiguated
This entity first appeared as the object of triple T1735550 — 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: Abstract Wikipedia Context triple: [Wikifunctions, relatedTo, Abstract Wikipedia]
-
A.
Wikipedia
Wikipedia is a free, collaboratively edited online encyclopedia that allows users worldwide to create and modify its articles.
-
B.
WikiWikiWeb
WikiWikiWeb is the first-ever wiki website, launched in 1995 as a collaborative platform for software developers to share ideas and documentation.
-
C.
Wikia
Wikia is a for-profit, community-driven wiki hosting platform (now known as Fandom) that provides free tools for fans to create and manage collaborative encyclopedias on their favorite topics.
-
D.
Wikimedia Incubator
Wikimedia Incubator is a Wikimedia Foundation platform where new language editions of Wikimedia projects are developed and tested before becoming independent sites.
-
E.
Wikimedia ecosystem
The Wikimedia ecosystem is the interconnected network of free knowledge projects, communities, and infrastructure coordinated by the Wikimedia Foundation, including Wikipedia, Wikimedia Commons, and related initiatives.
- 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: Abstract Wikipedia Target entity description: Abstract Wikipedia is a Wikimedia project aiming to create language-independent, structured representations of encyclopedia articles that can be rendered into many natural languages.
-
A.
Wikipedia
Wikipedia is a free, collaboratively edited online encyclopedia that allows users worldwide to create and modify its articles.
-
B.
WikiWikiWeb
WikiWikiWeb is the first-ever wiki website, launched in 1995 as a collaborative platform for software developers to share ideas and documentation.
-
C.
Wikia
Wikia is a for-profit, community-driven wiki hosting platform (now known as Fandom) that provides free tools for fans to create and manage collaborative encyclopedias on their favorite topics.
-
D.
Wikimedia Incubator
Wikimedia Incubator is a Wikimedia Foundation platform where new language editions of Wikimedia projects are developed and tested before becoming independent sites.
-
E.
Wikimedia ecosystem
The Wikimedia ecosystem is the interconnected network of free knowledge projects, communities, and infrastructure coordinated by the Wikimedia Foundation, including Wikipedia, Wikimedia Commons, and related initiatives.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Wikimedia project
ⓘ
knowledge base project ⓘ multilingual content generation system ⓘ |
| aimsTo |
facilitate collaboration across languages
ⓘ
improve knowledge equity ⓘ reduce content gaps between language editions of Wikipedia ⓘ |
| announcedOn | 2020-07-01 ⓘ |
| approvedBy |
Wikimedia Foundation Board of Trustees
ⓘ
linked to:
Board of Trustees
|
| approvedOn | 2020-07-03 ⓘ |
| basedOn | Wikidata ⓘ |
| developedBy | Wikimedia Foundation Abstract Wikipedia team ⓘ |
| hasAbbreviation | AW ⓘ |
| hasCommunicationChannel |
mailing lists
ⓘ
wiki discussion pages ⓘ |
| hasCommunity | volunteer contributors ⓘ |
| hasComponent | Wikifunctions ⓘ |
| hasDesignGoal |
allow reusable abstract content
ⓘ
separate content from language ⓘ support automatic natural language generation ⓘ |
| hasDocumentationOn | Meta-Wiki ⓘ |
| hasGoal |
create language-independent representations of encyclopedia articles
ⓘ
enable content to be rendered into many natural languages ⓘ support smaller language editions of Wikipedia ⓘ |
| hasLicense | free content licenses ⓘ |
| hasPrimaryLanguage | English (project coordination) ⓘ |
| hasStatus | under active development ⓘ |
| hasTopic |
computational linguistics
ⓘ
knowledge representation ⓘ multilingualism ⓘ natural language generation ⓘ semantic web ⓘ |
| hasWorkingTitle |
Wiki of functions
ⓘ
linked to:
Wikifunctions
|
| hostedOn | Wikimedia servers ⓘ |
| isNonProfit | true ⓘ |
| operatedBy | Wikimedia Foundation ⓘ |
| partOf |
Wikimedia movement
ⓘ
linked to:
Wikimedia ecosystem
|
| proposedBy | Denny Vrandečić ⓘ |
| relatedTo |
Wikidata
ⓘ
Wikifunctions ⓘ Wikipedia ⓘ |
| reliesOn |
Wikidata items
ⓘ
Wikidata lexicographical data ⓘ |
| uses |
Wikifunctions
ⓘ
abstract content representations ⓘ function-based rendering of text ⓘ structured representations of knowledge ⓘ |
| usesApproach |
abstract, language-independent article models
ⓘ
community-defined rendering functions ⓘ template-like function composition ⓘ |
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: Abstract Wikipedia Description of subject: Abstract Wikipedia is a Wikimedia project aiming to create language-independent, structured representations of encyclopedia articles that can be rendered into many natural languages.
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Abstract Wikipedia
linked to: Abstract Wikipedia
linked to: Abstract Wikipedia
linked to: Abstract Wikipedia
linked to: Abstract Wikipedia