Triple

T1059359
Position Surface form Disambiguated ID Type / Status
Subject West Yorkshire E22870 entity
Predicate hasMajorTown P316 FINISHED
Object Batley E54841 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: Batley | Statement: [West Yorkshire, hasMajorTown, Batley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batley
Context triple: [West Yorkshire, hasMajorTown, Batley]
  • A. Batley chosen
    Batley is a market town in West Yorkshire, England, situated between Leeds and Huddersfield in the metropolitan borough of Kirklees.
  • B. Keighley
    Keighley is a historic industrial town in northern England known for its textile heritage and proximity to the Yorkshire Dales.
  • C. Dewsbury
    Dewsbury is a market town in West Yorkshire, England, situated between Leeds and Huddersfield on major rail and road routes.
  • D. Milnrow
    Milnrow is a town in Greater Manchester, England, historically part of Lancashire and known for its textile heritage and proximity to the Pennine hills.
  • E. Kirklees
    Kirklees is a metropolitan borough in West Yorkshire, England, centered on the towns of Huddersfield and Dewsbury and known for its mix of urban areas and Pennine countryside.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f28c7c8190b9ca3749666bcbf3 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac996dcd3481909543f1b9758a0f91 completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:42 p.m.