Triple

T4378540
Position Surface form Disambiguated ID Type / Status
Subject River Aire E99068 entity
Predicate flowsThrough P225 FINISHED
Object Shipley E128392 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: Shipley | Statement: [River Aire, flowsThrough, Shipley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shipley
Context triple: [River Aire, flowsThrough, Shipley]
  • A. Shipley chosen
    Shipley is a town in the City of Bradford district of West Yorkshire, England, situated near the River Aire and known historically for its role in the wool and textile industries.
  • B. Shevington
    Shevington is a village and civil parish in the Metropolitan Borough of Wigan, Greater Manchester, England.
  • C. Mouldsworth
    Mouldsworth is a village in Cheshire, England, served by a railway station on the Manchester–Chester line.
  • D. Chapelfield
    Chapelfield is a major shopping centre in Norwich, England, featuring a wide range of retail stores, dining options, and leisure facilities.
  • E. Holwell
    Holwell is a small rural village located within the North Hertfordshire district of Hertfordshire, England.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35240092c81908e26ff607d665e7a completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51c87908190a561513ec64a2d72 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:18 p.m.