Triple

T4891871
Position Surface form Disambiguated ID Type / Status
Subject Nadi–Tokyo E109581 entity
Predicate hasEndpointAirport P37080 FINISHED
Object Tokyo International Airport E35463 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: Tokyo International Airport | Statement: [Nadi–Tokyo, hasEndpointAirport, Tokyo International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo International Airport
Context triple: [Nadi–Tokyo, hasEndpointAirport, Tokyo International Airport]
  • A. Haneda Airport chosen
    Haneda Airport is one of Tokyo’s primary international airports and one of Japan’s busiest air travel hubs.
  • B. Narita International Airport
    Narita International Airport is a major international gateway to Japan and one of the primary airports serving the Greater Tokyo area.
  • C. Kansai International Airport
    Kansai International Airport is a major international airport in Japan built on an artificial island in Osaka Bay, serving as a key gateway to the Kansai region.
  • D. Osaka International Airport
    Osaka International Airport is a major Japanese airport serving the Osaka metropolitan area, primarily handling domestic flights and known locally as Itami Airport.
  • E. Kobe Airport
    Kobe Airport is a regional airport located on an artificial island off the coast of Kobe, Japan, primarily serving domestic 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e2444dc819088d5562e90d16d9b completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fbf3e74819099910475bbd18734 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.