Triple

T19011501
Position Surface form Disambiguated ID Type / Status
Subject Dawley E465236 entity
Predicate near P350 FINISHED
Object Madeley 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: Madeley | Statement: [Dawley, near, Madeley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madeley
Context triple: [Dawley, near, Madeley]
  • A. Madeley chosen
    Madeley is a town in Shropshire, England, historically associated with coal mining and now part of the new town of Telford.
  • B. Tyldesley
    Tyldesley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage, particularly in coal mining and textiles.
  • C. Davyhulme
    Davyhulme is a suburban area within the Metropolitan Borough of Trafford in Greater Manchester, England, known for its residential character and proximity to Manchester city centre.
  • D. Martley
    Martley is a rural village and civil parish in Worcestershire, England, known for its scenic countryside, historic church, and location within the Malvern Hills area.
  • E. Congleton
    Congleton is a historic market town in the county of Cheshire in North West England, known for its industrial heritage and riverside setting.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a8f99081908cf535a4ec11adf7 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:02 p.m.