Triple

T3578613
Position Surface form Disambiguated ID Type / Status
Subject Kirklees E75746 entity
Predicate includesTown P847 FINISHED
Object Mirfield E55105 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: Mirfield | Statement: [Kirklees, includesTown, Mirfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirfield
Context triple: [Kirklees, includesTown, Mirfield]
  • A. Mirfield chosen
    Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
  • B. Thirsk
    Thirsk is a historic market town in northern England, best known as the home of veterinarian-author James Herriot and as a gateway to the North York Moors.
  • C. Sowerby Bridge
    Sowerby Bridge is a market town in Calderdale, West Yorkshire, England, known for its industrial heritage, canal and railway junctions, and position in the Upper Calder Valley.
  • D. Wetherby
    Wetherby is a market town in West Yorkshire, England, situated on the River Wharfe and known historically as a key coaching stop between London and Edinburgh.
  • E. Daventry
    Daventry is a historic market town in Northamptonshire, England, known for its role in early nonconformist religious education and its later development as a regional commercial center.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0defe14819095a337a840e33300 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402ef79e481909acd5d96678bc003 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.