Triple

T8478488
Position Surface form Disambiguated ID Type / Status
Subject Bentley S1 E200453 entity
Predicate assembly P19323 FINISHED
Object Crewe, England E45564 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: Crewe, England | Statement: [Bentley S1, assembly, Crewe, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crewe, England
Context triple: [Bentley S1, assembly, Crewe, England]
  • A. Crewe chosen
    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.
  • B. Whitefield, England
    Whitefield, England is a suburban town in Greater Manchester known historically for its role in the textile industry and later as a residential commuter area.
  • C. Wellington, Shropshire
    Wellington, Shropshire is a historic market town in Shropshire, England, now part of the new town of Telford.
  • D. Cleveland, Lancashire, England
    Cleveland, Lancashire, England is a locality in the historic county of Lancashire that is notable as the birthplace of British politician Chris Patten.
  • E. Cumberland, England
    Cumberland, England is a historic county in the northwest of England, known for its rugged landscapes, ties to the Lake District, and border with Scotland.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5216d6481908e25a49bcc2e00cc completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4de95e3081908277c65598f3884a completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:12 p.m.