Triple

T3607416
Position Surface form Disambiguated ID Type / Status
Subject New Chitose Airport E76405 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: [New Chitose Airport, focusCityFor, Skymark Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skymark Airlines
Context triple: [New Chitose 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. Amakusa Airlines
    Amakusa Airlines is a small Japanese regional airline based in Kumamoto Prefecture that operates domestic routes connecting remote islands and regional cities.
  • C. 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.
  • D. Hokkaido Air System
    Hokkaido Air System is a regional Japanese airline that primarily operates domestic routes within Hokkaido and nearby areas.
  • E. Air Orient
    Air Orient was a French airline of the early 20th century that operated long-distance routes, particularly to Asia, before becoming one of the companies merged to form Air France.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc228e24481909ae6a1e4ad796917 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4882a556881909e6c20cce617e4b6 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:22 p.m.