Triple

T23216937
Position Surface form Disambiguated ID Type / Status
Subject 神戸市 E580770 entity
Predicate hasAirport P105 FINISHED
Object 神戸空港 NE NERFINISHED

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: 神戸空港 | Statement: [神戸市, hasAirport, 神戸空港]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 神戸空港
Context triple: [神戸市, hasAirport, 神戸空港]
  • A. Kobe Airport chosen
    Kobe Airport is a regional airport located on an artificial island off the coast of Kobe, Japan, primarily serving domestic flights.
  • 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. Kitakyushu Airport
    Kitakyushu Airport is an offshore international airport in northern Kyushu, Japan, serving the city of Kitakyushu and surrounding regions with domestic and limited international flights.
  • 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. Izumo Airport
    Izumo Airport is a regional airport in Shimane Prefecture, Japan, providing domestic air services that connect the Izumo area with major Japanese cities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19165949c81908e4d66a8a2b0a25a completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.