Triple

T9930104
Position Surface form Disambiguated ID Type / Status
Subject Amami Ōshima E192624 entity
Predicate hasAirport P105 FINISHED
Object Amami Airport E191550 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: Amami Airport | Statement: [Amami Ōshima, hasAirport, Amami Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amami Airport
Context triple: [Amami Ōshima, hasAirport, Amami Airport]
  • A. Amami Airport chosen
    Amami Airport is a regional airport in Japan serving the Amami Islands in Kagoshima Prefecture, providing domestic connections to mainland Japan and nearby islands.
  • B. Amakusa Airport
    Amakusa Airport is a regional airport serving the Amakusa Islands area in Kumamoto Prefecture, Japan, providing domestic air connections to the mainland.
  • C. Osubi Airport
    Osubi Airport is a domestic airport serving the city of Warri and its surrounding region in Delta State, Nigeria.
  • D. Miyako Airport
    Miyako Airport is a regional airport serving Miyako Island in Japan’s Okinawa Prefecture, handling domestic flights and connecting the island to major Japanese cities.
  • E. Moruya Airport
    Moruya Airport is a regional airport in New South Wales, Australia, providing air transport services for the town of Moruya and the surrounding Eurobodalla region.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b4196881909a004091a4203c45 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dbe24a64819098bc94a8a62cc46b completed April 10, 2026, 11:15 a.m.
Created at: March 30, 2026, 8:43 p.m.