Triple

T12665515
Position Surface form Disambiguated ID Type / Status
Subject South West Wiltshire E302542 entity
Predicate hasTown P847 FINISHED
Object Warminster E615904 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: Warminster | Statement: [South West Wiltshire, hasTown, Warminster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warminster
Context triple: [South West Wiltshire, hasTown, Warminster]
  • A. Warminster chosen
    Warminster is a market town in Wiltshire, England, known for its historic architecture, surrounding countryside, and role as a local transport and service hub.
  • B. Chilcompton
    Chilcompton is a rural village in Somerset, England, known for its historic character and location near the town of Midsomer Norton.
  • C. Roberttown
    Roberttown is a village in West Yorkshire, England, forming part of the town of Liversedge within the metropolitan borough of Kirklees.
  • D. Warnham
    Warnham is a rural village and civil parish in West Sussex, England, known for its traditional English countryside character and proximity to the town of Horsham.
  • E. Westmere
    Westmere is a suburban hamlet and census-designated place within the town of Guilderland in Albany County, New York.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617e030881908444743b8a7e0d75 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7527c4819096c49a12dcba3c1a completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:19 p.m.