Triple

T4014921
Position Surface form Disambiguated ID Type / Status
Subject Naha Airport E90732 entity
Predicate focusCityFor P164 FINISHED
Object Skymark Airlines E190855 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: Skymark Airlines | Statement: [Naha Airport, focusCityFor, Skymark Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skymark Airlines
Context triple: [Naha Airport, focusCityFor, Skymark Airlines]
  • A. Skymark Airlines chosen
    Skymark Airlines is a Japanese low-cost carrier based in Tokyo that operates domestic flights and some international services.
  • B. Ryukyu Air Commuter
    Ryukyu Air Commuter is a Japanese regional airline that operates commuter flights primarily within the Okinawa Prefecture and surrounding islands.
  • C. Amakusa Airlines
    Amakusa Airlines is a small Japanese regional airline based in Kumamoto Prefecture that operates domestic routes connecting remote islands and regional cities.
  • D. Akasa Air
    Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
  • E. Hokkaido Air System
    Hokkaido Air System is a regional Japanese airline that primarily operates domestic routes within Hokkaido and nearby areas.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa5afdc8190b709af2473d75d02 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b47294c8190871f4a6a57b3470f completed March 14, 2026, 2:05 p.m.
Created at: March 9, 2026, 3:35 p.m.