Triple

T22204059
Position Surface form Disambiguated ID Type / Status
Subject Cobham Training Centre E548756 entity
Predicate locatedNear P294 FINISHED
Object Stoke D’Abernon E424506 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: Stoke D’Abernon | Statement: [Cobham Training Centre, locatedNear, Stoke D’Abernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stoke D’Abernon
Context triple: [Cobham Training Centre, locatedNear, Stoke D’Abernon]
  • A. Stoke D'Abernon chosen
    Stoke D'Abernon is a village in Surrey, England, known for its historic church and affluent residential character within the borough of Elmbridge.
  • B. Stoke Bruerne
    Stoke Bruerne is a historic canal village in Northamptonshire, England, known for its picturesque locks, waterways, and the Canal Museum on the Grand Union Canal.
  • C. Bartlett Stand
    Bartlett Stand is a spectator seating area at Huish Park, the home stadium of Yeovil Town Football Club in Yeovil, England.
  • D. Heytesbury
    Heytesbury is a historic village and former parliamentary borough in Wiltshire, England.
  • E. Burnham Norton
    Burnham Norton is a small coastal village in Norfolk, England, known for its historic church and saltmarsh landscape near the North Sea.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b25eac4819094b3c50027ed66db completed April 28, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aa618ec1081908faaa70c2f1aa57d completed May 18, 2026, 5:39 a.m.
Created at: April 16, 2026, 8:36 p.m.