Triple

T6679497
Position Surface form Disambiguated ID Type / Status
Subject Hatch End E151940 entity
Predicate postTown P2711 FINISHED
Object Pinner E146677 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: Pinner | Statement: [Hatch End, postTown, Pinner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinner
Context triple: [Hatch End, postTown, Pinner]
  • A. Pinner chosen
    Pinner is a suburban area in northwest London known for its village-like high street, historic architecture, and residential character within the London Borough of Harrow.
  • B. Edgemead
    Edgemead is a planned residential suburb in the northern part of Cape Town, South Africa, known for its garden-city layout and family-oriented community.
  • C. Redhill
    Redhill is a commuter town in southeast England known for its transport links and proximity to London within the county of Surrey.
  • D. Parrs Wood
    Parrs Wood is an area in south Manchester, England, known for its large entertainment and leisure complex and the historic Parrs Wood High School.
  • E. Turnford
    Turnford is a village and residential area in the Broxbourne district of Hertfordshire, England, forming part of the London commuter belt.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f6813c8190906f619b4276a232 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a9fda4819096d4bd3e8133cecb completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:03 p.m.