Triple

T18198701
Position Surface form Disambiguated ID Type / Status
Subject River Worth E435725 entity
Predicate hasFloodRisk P12640 FINISHED
Object Keighley 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: Keighley | Statement: [River Worth, hasFloodRisk, Keighley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keighley
Context triple: [River Worth, hasFloodRisk, Keighley]
  • A. Keighley chosen
    Keighley is a historic industrial town in northern England known for its textile heritage and proximity to the Yorkshire Dales.
  • B. Ilkley
    Ilkley is a spa town in West Yorkshire, England, known for its moorland scenery, Victorian architecture, and literary associations.
  • C. Batley
    Batley is a market town in West Yorkshire, England, situated between Leeds and Huddersfield in the metropolitan borough of Kirklees.
  • D. Otley
    Otley is a historic market town in West Yorkshire, England, situated on the River Wharfe northwest of Leeds.
  • E. Otley
    Otley is a small rural village and civil parish in the county of Suffolk, England.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d545f4819090285d1446bd3c27 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.