Triple

T17641985
Position Surface form Disambiguated ID Type / Status
Subject Esken Aviation E429253 entity
Predicate owns P347 FINISHED
Object London Southend Airport NE NERFINISHED

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: London Southend Airport | Statement: [Esken Aviation, owns, London Southend Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Southend Airport
Context triple: [Esken Aviation, owns, London Southend Airport]
  • A. Southend Airport chosen
    Southend Airport is a regional international airport in Essex, England, serving the London area with passenger and cargo flights.
  • 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. Stansted Airport
    Stansted Airport is a major international airport serving the London area, particularly known as a hub for low-cost and European short-haul flights.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de645208190a40dcf443f8afd82 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6:03 a.m.