Triple

T1185865
Position Surface form Disambiguated ID Type / Status
Subject Camberley E25243 entity
Predicate hasNearbyAirport P4363 FINISHED
Object Farnborough Airport 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 Airport | Statement: [Camberley, hasNearbyAirport, Farnborough Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farnborough Airport
Context triple: [Camberley, hasNearbyAirport, Farnborough Airport]
  • A. 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.
  • B. 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.
  • C. Bristol Airport
    Bristol Airport is a major regional airport in South West England serving domestic and international flights, notably as a key base for low-cost carriers like easyJet.
  • D. Luton Airport
    Luton Airport is a major international airport north of London that serves as a key hub for low-cost airlines and short-haul European flights.
  • E. Southend Airport
    Southend Airport is a regional international airport in Essex, England, serving the London area with passenger and cargo flights.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd53e4b48190abb2167f8074a6bc completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3443588190af6c06383e904e7d completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:45 p.m.