Triple

T4406511
Position Surface form Disambiguated ID Type / Status
Subject London airport system E93744 entity
Predicate regionalHub P51677 FINISHED
Object Southend Airport E16896 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: Southend Airport | Statement: [London airport system, regionalHub, Southend Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southend Airport
Context triple: [London airport system, regionalHub, 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. Bournemouth Airport
    Bournemouth Airport is a regional international airport in southern England serving the town of Bournemouth and the surrounding Dorset and Hampshire areas.
  • C. 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.
  • 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. 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.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b35640269c8190a88fc6b59070561b completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69beba400cd88190a2348ec3ac6b711e completed March 21, 2026, 3:33 p.m.
Created at: March 12, 2026, 11:28 p.m.