Triple

T4529045
Position Surface form Disambiguated ID Type / Status
Subject Flybe E106248 entity
Predicate mainHub P423 FINISHED
Object Southampton Airport E61566 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: Southampton Airport | Statement: [Flybe, mainHub, Southampton Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southampton Airport
Context triple: [Flybe, mainHub, Southampton Airport]
  • A. Southampton Airport chosen
    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.
  • B. 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.
  • C. Bournemouth Airport
    Bournemouth Airport is a regional international airport in southern England serving the town of Bournemouth and the surrounding Dorset and Hampshire areas.
  • D. Cambridge Airport
    Cambridge Airport is a regional airport serving the city of Cambridge in Cambridgeshire, England, handling general aviation, business, and some commercial 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd5779593081908593537b9239e01b completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf32f31ecc81909cb29b762481b08e completed March 22, 2026, 12:08 a.m.
Created at: March 20, 2026, 1:03 p.m.