Triple

T15014216
Position Surface form Disambiguated ID Type / Status
Subject Batley and Spen E377916 entity
Predicate containsTown P847 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: [Batley and Spen, containsTown, Batley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batley
Context triple: [Batley and Spen, containsTown, 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. Batley and Spen
    Batley and Spen is a UK parliamentary constituency in West Yorkshire, represented in the House of Commons.
  • C. Batley and Morley
    Batley and Morley was a former UK parliamentary constituency in West Yorkshire, England, centered on the towns of Batley and Morley.
  • D. Keighley
    Keighley is a historic industrial town in northern England known for its textile heritage and proximity to the Yorkshire Dales.
  • E. Ilkley
    Ilkley is a spa town in West Yorkshire, England, known for its moorland scenery, Victorian architecture, and literary associations.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7623c3c819092ca36b358b01842 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dce8240819097efddb43b79ad4b completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:55 a.m.