Triple

T8596632
Position Surface form Disambiguated ID Type / Status
Subject Vernon March E203564 entity
Predicate placeOfDeath P21 FINISHED
Object Farnborough E98735 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: Farnborough | Statement: [Vernon March, placeOfDeath, Farnborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farnborough
Context triple: [Vernon March, placeOfDeath, Farnborough]
  • A. Farnborough, London
    Farnborough, London is a suburban area in the London Borough of Bromley known for its village-like character on the southeastern edge of Greater London.
  • B. Farnborough Airfield chosen
    Farnborough Airfield is a historic British airfield in Hampshire renowned as a major center for aviation research, development, and the famous Farnborough International Airshow.
  • C. Maidenhead
    Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
  • D. Cobham
    Cobham is a clan associated with the Efik people, an ethnic group primarily found in southeastern Nigeria.
  • E. Cobham
    Cobham is a village in Surrey, England, known for its affluent residential character, proximity to London, and scenic riverside setting.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46c945dc8190a313c61c0db46187 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8d3fcfc8190bc51a38715ed453e completed April 2, 2026, 5:35 p.m.
Created at: March 30, 2026, 6:23 p.m.