Triple

T19302405
Position Surface form Disambiguated ID Type / Status
Subject River Coln E482734 entity
Predicate flowsThrough P225 FINISHED
Object Fairford 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: Fairford | Statement: [River Coln, flowsThrough, Fairford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fairford
Context triple: [River Coln, flowsThrough, Fairford]
  • A. Fairford chosen
    Fairford is a small market town in Gloucestershire, England, known for its historic wool church and proximity to RAF Fairford airbase.
  • B. Britford
    Britford is a small village and civil parish in Wiltshire, England, situated just southeast of Salisbury and known for its historic church and rural character.
  • C. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • D. Wyndford
    Wyndford is a residential neighborhood in the Maryhill area of Glasgow, Scotland, known for its post-war housing estates and close-knit community.
  • E. Belchford
    Belchford is a small rural village in eastern England, situated within the scenic, rolling countryside of the Lincolnshire Wolds.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc8add788190aed98bcbad518808 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.