Triple

T13537751
Position Surface form Disambiguated ID Type / Status
Subject Spurs Women E323303 entity
Predicate trainingGroundLocation P2424 FINISHED
Object Enfield E123079 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: Enfield | Statement: [Spurs Women, trainingGroundLocation, Enfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enfield
Context triple: [Spurs Women, trainingGroundLocation, Enfield]
  • A. Enfield
    Enfield is a small rural town located in Tompkins County in the Finger Lakes region of New York State.
  • B. Enfield chosen
    Enfield is a historic town in north London that developed from a Middlesex market settlement into a major suburban and commercial center.
  • C. Enfield
    Enfield is a suburb in the inner northern region of Adelaide, South Australia, known for its residential character and proximity to the city centre.
  • D. Woolwich
    Woolwich is a district in southeast London, England, historically significant as a military and industrial hub along the River Thames.
  • E. Woolwich
    Woolwich is a largely rural township in Ontario, Canada, known for its farming communities, Mennonite heritage, and small towns such as Elmira and St. Jacobs.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9c04b881908a359df791b89b43 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.