Triple

T14351335
Position Surface form Disambiguated ID Type / Status
Subject Cheadle (UK Parliament constituency) E355857 entity
Predicate hasArea P175 FINISHED
Object Gatley E351791 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: Gatley | Statement: [Cheadle (UK Parliament constituency), hasArea, Gatley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gatley
Context triple: [Cheadle (UK Parliament constituency), hasArea, Gatley]
  • A. Gatley chosen
    Gatley is a suburban village within the Greater Manchester conurbation in North West England.
  • B. Tyldesley
    Tyldesley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage, particularly in coal mining and textiles.
  • C. Ferryhill
    Ferryhill is a small town in County Durham, England, known historically for its coal mining heritage and location between Durham and Darlington.
  • D. Honley
    Honley is a large village in West Yorkshire, England, situated in the Holme Valley near Huddersfield.
  • E. Engleby
    Engleby is a psychological novel by Sebastian Faulks that follows the unsettling, introspective narrative of a socially isolated Cambridge student who may be involved in a mysterious disappearance.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f4e1e588190bdc7aaf7a2819948 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4335e481909d4db39b8d25edc9 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:14 a.m.