Triple

T20659240
Position Surface form Disambiguated ID Type / Status
Subject Manchester–Blackburn line E507711 entity
Predicate passesThrough P225 FINISHED
Object Farnworth NE NERFINISHED

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: [Manchester–Blackburn line, passesThrough, Farnworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farnworth
Context triple: [Manchester–Blackburn line, passesThrough, 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. Barrasford
    Barrasford is a small village in Northumberland, England, situated in the Tyne Valley and known for its rural setting and proximity to Hadrian’s Wall.
  • C. Cornbrook
    Cornbrook is a major Metrolink tram interchange area in Manchester, England, providing key connections between multiple tram lines.
  • D. Fritchley
    Fritchley is a small village in Derbyshire, England, known for its rural character and proximity to the larger village of Crich.
  • E. Worsthorne
    Worsthorne is a British surname most notably associated with journalist and commentator Peregrine Worsthorne.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2eff7a88190be0bdea227616e02 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.