Triple

T1928014
Position Surface form Disambiguated ID Type / Status
Subject Osaka International Airport E40876 entity
Predicate alsoKnownAs P39 FINISHED
Object Osaka Itami Airport E268225 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: Osaka Itami Airport | Statement: [Osaka International Airport, alsoKnownAs, Osaka Itami Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osaka Itami Airport
Context triple: [Osaka International Airport, alsoKnownAs, Osaka Itami Airport]
  • A. Itami Airport chosen
    Itami Airport is a major domestic airport serving the Osaka metropolitan area in Japan.
  • B. 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.
  • 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. Tajima Airport
    Tajima Airport is a regional airport in northern Hyogo Prefecture, Japan, primarily serving domestic flights and connecting the Tajima area with major Japanese cities.
  • E. Okadama Airport
    Okadama Airport is a regional airport in Sapporo, Japan, primarily serving domestic and general aviation 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb263cdb8819084d0bda98a2a71e0 completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69af652eb8ac81908ba29989c1197daf completed March 10, 2026, 12:26 a.m.
Created at: March 4, 2026, 7:35 p.m.