Triple

T11642611
Position Surface form Disambiguated ID Type / Status
Subject Seoul–London E276692 entity
Predicate ICAOAirportCodeDestination P419 FINISHED
Object EGLL E12863 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: EGLL | Statement: [Seoul–London, ICAOAirportCodeDestination, EGLL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EGLL
Context triple: [Seoul–London, ICAOAirportCodeDestination, EGLL]
  • A. Gatwick Airport
    Gatwick Airport is a major international airport serving the London area and is one of the busiest airports in the United Kingdom.
  • B. Heathrow Airport chosen
    Heathrow Airport is the United Kingdom’s largest and busiest international airport, serving as a major global aviation hub for London.
  • C. London International Airport
    London International Airport is a regional airport serving the city of London and surrounding areas in southwestern Ontario, Canada.
  • 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. London City Airport
    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.
  • 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: ICAOAirportCodeDestination
Context triple: [Seoul–London, ICAOAirportCodeDestination, EGLL]
  • A. ICAOcode chosen
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • B. airportCodeContext
    Indicates that an airport code is being used or interpreted within a specific contextual framework (such as a region, system, or standard) that defines its meaning.
  • C. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • D. airportCodeFAA
    Indicates that an airport is identified by a specific FAA (Federal Aviation Administration) airport code.
  • E. icaoCodeType
    Indicates that the relationship specifies or classifies the ICAO (International Civil Aviation Organization) code associated with an entity.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a260ab488190ab1c00d9850f3096 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87ecbcac8190bb71a248d3601f8d completed April 26, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69d85dd94bdc819091fa2ed33eb31624 completed April 10, 2026, 2:18 a.m.
Created at: April 8, 2026, 9:39 p.m.