Triple

T8250289
Position Surface form Disambiguated ID Type / Status
Subject BL postcode area E192939 entity
Predicate containsPostTown P2711 FINISHED
Object Farnworth E496807 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: Farnworth | Statement: [BL postcode area, containsPostTown, Farnworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farnworth
Context triple: [BL postcode area, containsPostTown, Farnworth]
  • A. Farnworth chosen
    Farnworth is a town in Greater Manchester, England, historically part of Lancashire and now largely residential with local industry and transport links to nearby urban centers.
  • B. Cornbrook
    Cornbrook is a major Metrolink tram interchange area in Manchester, England, providing key connections between multiple tram lines.
  • C. Fritchley
    Fritchley is a small village in Derbyshire, England, known for its rural character and proximity to the larger village of Crich.
  • D. Crossford
    Crossford is a small village situated in Scotland’s Clyde Valley, known for its rural character and surrounding agricultural landscape.
  • E. Cosford
    Cosford is a village in Shropshire, England, best known for its close association with RAF Cosford and the Royal Air Force Museum Cosford.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78c817708190ad1c364e12083d26 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd353888208190941d1c0b7b911cdd completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:48 p.m.