Triple

T15217293
Position Surface form Disambiguated ID Type / Status
Subject Warminster Branch E363669 entity
Predicate terminus P388 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: [Warminster Branch, terminus, Warminster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warminster
Context triple: [Warminster Branch, terminus, Warminster]
  • A. Warminster
    Warminster is a suburban township in Bucks County, Pennsylvania, known for its residential communities, local commerce, and small general-aviation airport.
  • B. 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.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3159fc81908c05cfbd0bd7e5ac completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:11 a.m.