Triple

T16695963
Position Surface form Disambiguated ID Type / Status
Subject OKA E405715 entity
Predicate codeFor P3746 FINISHED
Object Naha Airport E90732 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: Naha Airport | Statement: [OKA, codeFor, Naha Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naha Airport
Context triple: [OKA, codeFor, Naha Airport]
  • A. Naha Airport chosen
    Naha Airport is the main commercial airport serving Okinawa Prefecture in Japan, acting as a key domestic and regional hub in the Ryukyu Islands.
  • B. Miyazaki Bougainvillea Airport
    Miyazaki Bougainvillea Airport is a regional airport in Miyazaki Prefecture, Japan, serving domestic flights and limited international routes for the city of Miyazaki on Kyushu Island.
  • C. Hana Airport
    Hana Airport is a small regional airport serving the remote town of Hāna on the eastern coast of Maui, Hawaii.
  • D. Momote Airport
    Momote Airport is a regional airport serving Manus Province in Papua New Guinea, providing vital air connectivity for passengers and cargo to this remote island area.
  • E. Kirakira Airport
    Kirakira Airport is a small regional airfield serving the town of Kirakira and surrounding communities in Makira-Ulawa Province of the Solomon Islands.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eadc35881909fb0cc405a0e2fae completed April 18, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01481dfcdc8190818456f89c285df4 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:19 a.m.