Triple

T629486
Position Surface form Disambiguated ID Type / Status
Subject Alan Turing E15893 entity
Predicate deathPlace P21 FINISHED
Object Wilmslow, Cheshire, England E16562 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: Wilmslow, Cheshire, England | Statement: [Alan Turing, deathPlace, Wilmslow, Cheshire, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilmslow, Cheshire, England
Context triple: [Alan Turing, deathPlace, Wilmslow, Cheshire, England]
  • A. Wilmslow chosen
    Wilmslow is an affluent town in Cheshire, England, known for its prosperous residential areas and location within the Greater Manchester commuter belt.
  • B. Ware, Hertfordshire
    Ware, Hertfordshire is a historic market town in eastern Hertfordshire, England, situated on the River Lea and known for its coaching inns and maltings.
  • C. Lichfield, Staffordshire, England
    Lichfield, in Staffordshire, England, is a historic cathedral city known for its medieval architecture and cultural heritage.
  • D. Slough
    Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
  • E. Chicksands, Bedfordshire, England
    Chicksands in Bedfordshire, England is a village best known for its historic military base and intelligence-gathering facilities used by the British Army and allied forces.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec051bc8190b3e3f8651a367d77 completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56938be6481909a8eba01f5d856c1 completed March 2, 2026, 10:40 a.m.
Created at: March 1, 2026, 7:35 p.m.