Triple

T20070261
Position Surface form Disambiguated ID Type / Status
Subject Bear Town E499713 entity
Predicate appliesTo P1129 FINISHED
Object Congleton 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: Congleton | Statement: [Bear Town, appliesTo, Congleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Congleton
Context triple: [Bear Town, appliesTo, Congleton]
  • A. Congleton chosen
    Congleton is a historic market town in the county of Cheshire in North West England, known for its industrial heritage and riverside setting.
  • B. Crewe
    Crewe is a major railway town in Cheshire, England, historically known as a key junction on the British rail network and a center of railway engineering.
  • C. Glossop
    Glossop is a market town in Derbyshire, England, situated on the edge of the Peak District and historically associated with the textile industry.
  • D. Madeley
    Madeley is a town in Shropshire, England, historically associated with coal mining and now part of the new town of Telford.
  • E. Northwich
    Northwich is a historic market and industrial town in Cheshire, England, traditionally known for its salt mining and chemical industries.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643798a4819081fa4e71c74b47bc completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.