Triple

T28184189
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Haneda – Sapporo E716123 entity
Predicate destinationAirportType P86085 FINISHED
Object primary airport for Sapporo metropolitan area LITERAL 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: primary airport for Sapporo metropolitan area | Statement: [Tokyo Haneda – Sapporo, destinationAirportType, primary airport for Sapporo metropolitan area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: destinationAirportType
Context triple: [Tokyo Haneda – Sapporo, destinationAirportType, primary airport for Sapporo metropolitan area]
  • A. airlineDestinationType
    Indicates the type or category of destination (e.g., domestic, international, hub) associated with an airline’s route or flight.
  • B. destinationAirportInvestigated
    Indicates that an airport serving as a destination has been examined or analyzed, typically as part of an investigation or assessment process.
  • C. typicalDestinationAirportIATA
    Indicates the IATA airport code that is typically the destination in this kind of trip or route.
  • D. servesAirportType
    Indicates that a transportation service or facility provides service to, or is designated for, a specific type or category of airport.
  • E. airportTypePresent chosen
    Indicates that a specific type or category of airport is present or exists in relation to the referenced entity.
  • 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_69efd6b4fc5c81909dd88f01a8c2b35d completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69f641def1e88190a05bf865ced78b23 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 10:21 p.m.