Triple

T8110828
Position Surface form Disambiguated ID Type / Status
Subject York Lions E189343 entity
Predicate formerName P65 FINISHED
Object York Yeomen E189343 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: York Yeomen | Statement: [York Lions, formerName, York Yeomen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: York Yeomen
Context triple: [York Lions, formerName, York Yeomen]
  • A. York Yeomen chosen
    York Yeomen was the former name of the varsity athletic teams representing York University in Toronto, Canada, before they were rebranded as the York Lions.
  • B. Yeomen and Yeowomen
    Yeomen and Yeowomen are the athletic teams and mascots representing Oberlin College in intercollegiate sports.
  • C. Yeomanry
    Yeomanry were volunteer cavalry units in the British Army, historically composed of part-time soldiers drawn largely from rural and middle-class communities.
  • D. Royal Company of Archers
    The Royal Company of Archers is a historic ceremonial unit that serves as the Sovereign’s Bodyguard in Scotland.
  • E. Yeoman
    Yeoman is a scaffolding tool for modern web applications that streamlines project setup by generating boilerplate code and configuration through customizable generators.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fcfb9c81908496f9a7e30d0d8a completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc942a9af881908b7ddc724755893e completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.