Triple

T17577765
Position Surface form Disambiguated ID Type / Status
Subject Region A E428115 entity
Predicate contains P35 FINISHED
Object Crowthorne 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: Crowthorne | Statement: [Region A, contains, Crowthorne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crowthorne
Context triple: [Region A, contains, Crowthorne]
  • A. Crowthorne
    Crowthorne is a prominent corner on the Kyalami Grand Prix Circuit, known as the first major braking point and overtaking opportunity on the South African race track.
  • B. Crowthorne chosen
    Crowthorne is a village in Berkshire, England, known for its residential character and proximity to heathland and woodland areas.
  • C. Brize Norton
    Brize Norton is a village in Oxfordshire, England, best known for its proximity to RAF Brize Norton, one of the UK’s largest and busiest Royal Air Force stations.
  • D. Cippenham
    Cippenham is a suburban area and former village within the town of Slough in Berkshire, England.
  • E. Camberley
    Camberley is a suburban town in southeast England known for its shopping centre, commuter links to London, and proximity to the Royal Military Academy Sandhurst.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cb40088190b726f2c026358cf2 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.