Triple

T9048287
Position Surface form Disambiguated ID Type / Status
Subject 伊丹市 E216813 entity
Predicate hasAirport P105 FINISHED
Object 大阪国際空港 E7734 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: 大阪国際空港 | Statement: [伊丹市, hasAirport, 大阪国際空港]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 大阪国際空港
Context triple: [伊丹市, hasAirport, 大阪国際空港]
  • A. Osaka International Airport chosen
    Osaka International Airport is a major Japanese airport serving the Osaka metropolitan area, primarily handling domestic flights and known locally as Itami Airport.
  • B. 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.
  • C. Kobe Airport
    Kobe Airport is a regional airport located on an artificial island off the coast of Kobe, Japan, primarily serving domestic flights.
  • D. Miyazaki–Tokyo Haneda
    Miyazaki–Tokyo Haneda is a domestic air route in Japan connecting Miyazaki Airport on Kyushu with Tokyo’s centrally located Haneda Airport.
  • E. Haneda Airport
    Haneda Airport is one of Tokyo’s primary international airports and one of Japan’s busiest air travel hubs.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b51aa708190a37feecfd8deed2f completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2696450e4819086d5aac368127e5f completed April 5, 2026, 1:53 p.m.
Created at: March 30, 2026, 7:09 p.m.