Triple

T4832091
Position Surface form Disambiguated ID Type / Status
Subject MediaWiki E107967 entity
Predicate usedBy P260 FINISHED
Object Wikibooks E37904 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: Wikibooks | Statement: [MediaWiki, usedBy, Wikibooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wikibooks
Context triple: [MediaWiki, usedBy, Wikibooks]
  • A. Wikibooks chosen
    Wikibooks is a Wikimedia Foundation project that hosts collaboratively written, free-content textbooks and instructional guides.
  • B. Wikisource
    Wikisource is a free online digital library of public domain and freely licensed texts that anyone can read and help transcribe.
  • C. Wikiversity
    Wikiversity is a Wikimedia Foundation project that provides a free, collaborative platform for creating and using educational resources and learning materials.
  • D. Citizendium
    Citizendium is an expert-guided, wiki-based online encyclopedia project founded as an alternative to Wikipedia, emphasizing real-name authorship and expert oversight.
  • E. Wikipedia
    Wikipedia is a free, collaboratively edited online encyclopedia that allows users worldwide to create and modify its articles.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc924e08190b03a7541c629aff9 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dd4224c8190be7568bb611f81a3 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.