Triple

T15758034
Position Surface form Disambiguated ID Type / Status
Subject Westbury E382017 entity
Predicate hasNearbyTown P3883 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: [Westbury, hasNearbyTown, Warminster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warminster
Context triple: [Westbury, hasNearbyTown, 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. Warminster
    Warminster is a suburban township in Bucks County, Pennsylvania, known for its residential communities, local commerce, and small general-aviation airport.
  • C. Quidhampton
    Quidhampton is a small village in Wiltshire, England, situated just west of Salisbury.
  • D. Chilcompton
    Chilcompton is a rural village in Somerset, England, known for its historic character and location near the town of Midsomer Norton.
  • E. Roberttown
    Roberttown is a village in West Yorkshire, England, forming part of the town of Liversedge within the metropolitan borough of Kirklees.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b35ea48190a758ee76a57b5451 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877311dc8190b55fe7ca5c0843da completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.