Triple

T7040493
Position Surface form Disambiguated ID Type / Status
Subject Enfield Town E163497 entity
Predicate partOf P40 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: [Enfield Town, partOf, Enfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enfield
Context triple: [Enfield Town, partOf, 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. Woolwich
    Woolwich is a district in southeast London, England, historically significant as a military and industrial hub along the River Thames.
  • D. Stanmore
    Stanmore is a suburban district in the London Borough of Harrow, England, known for its residential character and historical connections, including former Royal Air Force sites.
  • E. Mill Hill
    Mill Hill is a suburban area in the London Borough of Barnet, known for its residential character, green spaces, and local schools.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e22544708190b0dffb5256d4cda6 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775afabbc8190a6ff263b1a996c9c completed March 28, 2026, 6:31 a.m.
Created at: March 27, 2026, 2:36 p.m.