Triple

T20041161
Position Surface form Disambiguated ID Type / Status
Subject Denton Hall E497419 entity
Predicate near P350 FINISHED
Object Ilkley NE NERFINISHED

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: Ilkley | Statement: [Denton Hall, near, Ilkley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilkley
Context triple: [Denton Hall, near, Ilkley]
  • A. Ilkley chosen
    Ilkley is a spa town in West Yorkshire, England, known for its moorland scenery, Victorian architecture, and literary associations.
  • 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. Silsden
    Silsden is a small town in West Yorkshire, England, situated near the River Aire and the Leeds and Liverpool Canal, known historically for its textile and agricultural industries.
  • E. Todmorden
    Todmorden is a market town in West Yorkshire, England, known for its industrial heritage, surrounding Pennine countryside, and community-led urban agriculture initiatives.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662eb9a6081909d06dc1d457b4d5a completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:37 p.m.