Triple

T12664202
Position Surface form Disambiguated ID Type / Status
Subject Ikeda, Osaka Prefecture E302504 entity
Predicate hasAirportService P6864 FINISHED
Object 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: Itami Airport | Statement: [Ikeda, Osaka Prefecture, hasAirportService, Itami Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itami Airport
Context triple: [Ikeda, Osaka Prefecture, hasAirportService, Itami Airport]
  • A. Itami Airport chosen
    Itami Airport is a major domestic airport serving the Osaka metropolitan area in Japan.
  • B. 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.
  • C. Okadama Airport
    Okadama Airport is a regional airport in Sapporo, Japan, primarily serving domestic and general aviation flights.
  • D. Miyazaki Airport
    Miyazaki Airport is a regional airport in Miyazaki Prefecture, Japan, serving domestic flights and limited international routes for the city and surrounding area.
  • 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 (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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96411d87481909127e81755f23964 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b88d7048190bb584aa48bba5288 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:19 p.m.