Triple

T13092755
Position Surface form Disambiguated ID Type / Status
Subject Arsenal Training Centre E310502 entity
Predicate locatedIn P40 FINISHED
Object London Colney E80395 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: London Colney | Statement: [Arsenal Training Centre, locatedIn, London Colney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Colney
Context triple: [Arsenal Training Centre, locatedIn, London Colney]
  • A. London Colney chosen
    London Colney is a village in Hertfordshire, England, best known in football for hosting Arsenal F.C.’s main training centre.
  • B. Colney Heath
    Colney Heath is a village and civil parish in the county of Hertfordshire in the East of England.
  • C. Earls Colne
    Earls Colne is a village and civil parish in Essex, England, known for its historic rural character and location in the Colne Valley.
  • D. Hoddesdon
    Hoddesdon is a historic market town in southern England known for its traditional high street, commuter links to London, and proximity to the River Lea.
  • E. Cuffley
    Cuffley is a village in southern England that forms part of the county of Hertfordshire.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813acbac8190b2fe5e07287457cf completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d617f1908190a2fa147bedede54f completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:03 p.m.