Triple

T317283
Position Surface form Disambiguated ID Type / Status
Subject Osaka International Airport E7734 entity
Predicate originalName P65 FINISHED
Object No. 2 Osaka Airport 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: No. 2 Osaka Airport | Statement: [Osaka International Airport, originalName, No. 2 Osaka Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: No. 2 Osaka Airport
Context triple: [Osaka International Airport, originalName, No. 2 Osaka Airport]
  • 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. Haneda Airport
    Haneda Airport is one of Tokyo’s primary international airports and one of Japan’s busiest air travel hubs.
  • E. Narita International Airport
    Narita International Airport is a major international gateway to Japan and one of the primary airports serving the Greater Tokyo area.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea65ca7081908093e6aaaf2d34f7 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cfe82d348190892f0aa8c352d04b completed March 1, 2026, 5:34 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.