Triple

T12843334
Position Surface form Disambiguated ID Type / Status
Subject Bournemouth E307109 entity
Predicate hasAirport P105 FINISHED
Object Bournemouth Airport E236784 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: Bournemouth Airport | Statement: [Bournemouth, hasAirport, Bournemouth Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bournemouth Airport
Context triple: [Bournemouth, hasAirport, Bournemouth Airport]
  • A. Bournemouth Airport chosen
    Bournemouth Airport is a regional international airport in southern England serving the town of Bournemouth and the surrounding Dorset and Hampshire areas.
  • B. Southampton Airport
    Southampton Airport is a regional international airport in Hampshire, England, serving the city of Southampton and the wider South East England area with domestic and European flights.
  • 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. Southend Airport
    Southend Airport is a regional international airport in Essex, England, serving the London area with passenger and cargo flights.
  • E. Cambridge Airport
    Cambridge Airport is a regional airport serving the city of Cambridge in Cambridgeshire, England, handling general aviation, business, and some commercial 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff3a7208190b93f6292ed5efc07 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af4f56108190b75dbf9bb144e94a completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:35 p.m.