Triple

T7153040
Position Surface form Disambiguated ID Type / Status
Subject BA CityFlyer E166739 entity
Predicate hubAirport P8171 FINISHED
Object London City Airport E16417 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: London City Airport | Statement: [BA CityFlyer, hubAirport, London City Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London City Airport
Context triple: [BA CityFlyer, hubAirport, London City Airport]
  • A. London City Airport chosen
    London City Airport is a small, centrally located international airport in East London that primarily serves business travelers with short-haul European and domestic flights.
  • B. London International Airport
    London International Airport is a regional airport serving the city of London and surrounding areas in southwestern Ontario, Canada.
  • C. Heathrow Airport
    Heathrow Airport is the United Kingdom’s largest and busiest international airport, serving as a major global aviation hub for London.
  • D. Gatwick Airport
    Gatwick Airport is a major international airport serving the London area and is one of the busiest airports in the United Kingdom.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f52c1081908c4fa424d5e965bc completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8342a44a08190abee47cc7482c757 completed March 28, 2026, 8:03 p.m.
Created at: March 27, 2026, 2:46 p.m.