Triple

T20175724
Position Surface form Disambiguated ID Type / Status
Subject Well dressing E492089 entity
Predicate notableIn P22 FINISHED
Object Bakewell 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: Bakewell | Statement: [Well dressing, notableIn, Bakewell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakewell
Context triple: [Well dressing, notableIn, Bakewell]
  • A. Bakewell chosen
    Bakewell is a historic market town in Derbyshire, England, famed for its traditional Bakewell pudding and its picturesque setting in the Peak District.
  • B. Bakewell
    Bakewell is a residential suburb within the Greater Darwin area in Australia's Northern Territory.
  • C. Bedworth
    Bedworth is a small market town in Warwickshire, England, situated between Coventry and Nuneaton and known historically for coal mining and ribbon weaving.
  • D. Bolsover
    Bolsover is a historic market town in England best known for its hilltop Bolsover Castle and its location within the county of Derbyshire.
  • E. Beverley
    Beverley is a historic market town and civil parish in the East Riding of Yorkshire, England, known for its impressive Gothic minster and medieval architecture.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e668eb50a48190af7de53680ca2f5d completed April 20, 2026, 5:56 p.m.
Created at: April 11, 2026, 11:36 p.m.