Triple

T1735165
Position Surface form Disambiguated ID Type / Status
Subject Wikibooks E37904 entity
Predicate hasSisterProject P14971 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: [Wikibooks, hasSisterProject, Wikiversity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wikiversity
Context triple: [Wikibooks, hasSisterProject, 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. Wikimedia Incubator
    Wikimedia Incubator is a Wikimedia Foundation platform where new language editions of Wikimedia projects are developed and tested before becoming independent sites.
  • 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_69adb5c065088190b831c65ae55eed14 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:30 p.m.