Triple

T16404997
Position Surface form Disambiguated ID Type / Status
Subject Nagasaki Airport E398402 entity
Predicate servesAirline P12356 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: [Nagasaki Airport, servesAirline, Skymark Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skymark Airlines
Context triple: [Nagasaki Airport, servesAirline, 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. Wasaya Airways
    Wasaya Airways is a Canadian regional airline based in northern Ontario that primarily provides passenger and cargo services to remote First Nations and northern communities.
  • E. Jeju Air
    Jeju Air is a South Korean low-cost airline that operates extensive domestic and international routes, particularly serving leisure and regional markets in East Asia.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d1f16481909adb19dab86dcc72 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f439d048190bf779cb263b7c7a7 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:09 a.m.