Triple

T4223078
Position Surface form Disambiguated ID Type / Status
Subject VIR E94387 entity
Predicate airlineFocusCityOfIdentifiedAirline P1295 FINISHED
Object London Gatwick Airport E13320 NE FINISHED

How this triple was built (3 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 Gatwick Airport | Statement: [VIR, airlineFocusCityOfIdentifiedAirline, London Gatwick Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Gatwick Airport
Context triple: [VIR, airlineFocusCityOfIdentifiedAirline, London Gatwick Airport]
  • A. Gatwick Airport chosen
    Gatwick Airport is a major international airport serving the London area and is one of the busiest airports in the United Kingdom.
  • B. London International Airport
    London International Airport is a regional airport serving the city of London and surrounding areas in southwestern Ontario, Canada.
  • 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. Heathrow Airport
    Heathrow Airport is the United Kingdom’s largest and busiest international airport, serving as a major global aviation hub for London.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airlineFocusCityOfIdentifiedAirline
Context triple: [VIR, airlineFocusCityOfIdentifiedAirline, London Gatwick Airport]
  • A. associatedAirlineHeadquarters
    Indicates that an airline is connected to or based at a particular headquarters location.
  • B. hasFocusCityAirline chosen
    Indicates that an airline designates a particular city as one of its focus cities, where it concentrates a significant portion of its operations without it necessarily being a primary hub.
  • C. linkedAirlineHeadquartersLocation
    Indicates that an airline’s headquarters is located in the specified place or facility.
  • D. airportServesAs
    Indicates that an airport functions in a particular role or capacity (such as primary, secondary, or hub) for a specified area, organization, or service.
  • E. otherAirportOfCity
    Indicates that the subject airport is another airport serving the same city as the object airport.
  • F. None of above.

Provenance (4 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e4bf6088190926b982039a12079 completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b66b25d00481909eaf22c7c797c3f1 completed March 15, 2026, 8:17 a.m.
PD Predicate disambiguation batch_69b347f1d7b48190bd8974c03c7dc937 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:04 p.m.