Triple

T19116824
Position Surface form Disambiguated ID Type / Status
Subject SEL E467927 entity
Predicate usedForAirport P51580 FINISHED
Object Gimpo International Airport NE NERFINISHED

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: Gimpo International Airport | Statement: [SEL, usedForAirport, Gimpo International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gimpo International Airport
Context triple: [SEL, usedForAirport, Gimpo International Airport]
  • A. Gimpo International Airport chosen
    Gimpo International Airport is a major airport serving the Seoul metropolitan area, primarily handling domestic flights and regional international routes.
  • B. Gwangju Airport
    Gwangju Airport is a regional airport in Gwangju, South Korea, serving domestic flights and limited military operations.
  • C. Neryungri Airport
    Neryungri Airport is a regional airport in the Sakha Republic of Russia that serves the town of Neryungri and its surrounding area.
  • D. Daegu International Airport
    Daegu International Airport is a regional airport in Daegu, South Korea, serving both domestic and limited international flights.
  • E. Cheongju International Airport
    Cheongju International Airport is a major regional airport in central South Korea that serves both domestic and international flights for the city of Cheongju and the surrounding Chungcheong region.
  • 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: usedForAirport
Context triple: [SEL, usedForAirport, Gimpo International Airport]
  • A. designedForAirports
    Indicates that something is specifically created or optimized to be used in or meet the needs of airports.
  • B. appliesToAirport chosen
    Indicates that something is relevant, valid, or specifically intended for use at a particular airport.
  • C. airportUse
    Indicates that an airport is used or utilized by a particular entity, such as an airline, organization, or service.
  • D. usesAirportCode
    Indicates that one entity employs or identifies an airport by a specific standardized airport code.
  • E. basedInAirport
    Indicates that an entity has its primary location, operations, or headquarters situated at a specific airport.
  • F. None of above.

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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3984bf48190818fa2b01b75decb completed April 20, 2026, 8:28 a.m.
PD Predicate disambiguation batch_69e4b9b085288190b974d649e12e0844 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:05 p.m.