Triple

T1735008
Position Surface form Disambiguated ID Type / Status
Subject Wikimedia Commons E37901 entity
Predicate usedBy P260 FINISHED
Object Wikiversity E37906 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wikiversity | Statement: [Wikimedia Commons, usedBy, Wikiversity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wikiversity
Context triple: [Wikimedia Commons, usedBy, Wikiversity]
  • A. Wikiversity chosen
    Wikiversity is a Wikimedia Foundation project that provides a free, collaborative platform for creating and using educational resources and learning materials.
  • B. Wikibooks
    Wikibooks is a Wikimedia Foundation project that hosts collaboratively written, free-content textbooks and instructional guides.
  • 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. Wikipedia
    Wikipedia is a free, collaboratively edited online encyclopedia that allows users worldwide to create and modify its articles.
  • E. WikiWikiWeb
    WikiWikiWeb is the first-ever wiki website, launched in 1995 as a collaborative platform for software developers to share ideas and documentation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a2168c819093d302632ff4b7c2 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b008b7881909ac568af010bcf99 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:30 p.m.