Triple

T9245943
Position Surface form Disambiguated ID Type / Status
Subject Okadama Airport E222194 entity
Predicate hasFocusCity P1295 FINISHED
Object Hokkaido Air System E148443 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: Hokkaido Air System | Statement: [Okadama Airport, hasFocusCity, Hokkaido Air System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hokkaido Air System
Context triple: [Okadama Airport, hasFocusCity, Hokkaido Air System]
  • A. Hokkaido Air System chosen
    Hokkaido Air System is a regional Japanese airline that primarily operates domestic routes within Hokkaido and nearby areas.
  • B. Hokkaido Airports Co., Ltd.
    Hokkaido Airports Co., Ltd. is a Japanese company responsible for managing and operating multiple airports across Hokkaido, including major international hubs.
  • C. 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.
  • D. Amakusa Airlines
    Amakusa Airlines is a small Japanese regional airline based in Kumamoto Prefecture that operates domestic routes connecting remote islands and regional cities.
  • E. Skymark Airlines
    Skymark Airlines is a Japanese low-cost carrier based in Tokyo that operates domestic flights and some international services.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd03f181e081908d9ff7dc6f86420e completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bca80a481908038fee287989a54 completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:30 p.m.