Triple

T2975949
Position Surface form Disambiguated ID Type / Status
Subject Colney Fields Shopping Park E80395 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: [Colney Fields Shopping Park, locatedIn, London Colney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Colney
Context triple: [Colney Fields Shopping Park, 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. Cuffley
    Cuffley is a village in southern England that forms part of the county of Hertfordshire.
  • D. Cheshunt
    Cheshunt is a town in Hertfordshire, England, situated just north of London and known as a commuter hub with rail links into the capital.
  • E. Whittlesey
    Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad998ad5308190a012ec4940eb46cb completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e2c498881909dc0349b56db5c87 completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:58 p.m.