Triple

T7682874
Position Surface form Disambiguated ID Type / Status
Subject Fairford E174038 entity
Predicate hasPostTown P2711 FINISHED
Object Fairford E174038 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: Fairford | Statement: [Fairford, hasPostTown, Fairford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fairford
Context triple: [Fairford, hasPostTown, 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. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • C. Belchford
    Belchford is a small rural village in eastern England, situated within the scenic, rolling countryside of the Lincolnshire Wolds.
  • D. Sharneyford
    Sharneyford is a small settlement in Lancashire, England, situated within the Rossendale Valley near the border with West Yorkshire.
  • E. Pyrford
    Pyrford is a village in Surrey, England, known for its historic church, green spaces, and residential character near the town of Woking.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7021ce1308190be58d17ebaafa6ae completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a25304b88190920c2e4908925ce2 completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.