Triple

T8833128
Position Surface form Disambiguated ID Type / Status
Subject Amakusa Airfield E210194 entity
Predicate primaryAirline P12356 FINISHED
Object Amakusa Airlines E41851 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: Amakusa Airlines | Statement: [Amakusa Airfield, primaryAirline, Amakusa Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amakusa Airlines
Context triple: [Amakusa Airfield, primaryAirline, Amakusa Airlines]
  • A. Amakusa Airlines chosen
    Amakusa Airlines is a small Japanese regional airline based in Kumamoto Prefecture that operates domestic routes connecting remote islands and regional cities.
  • B. 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.
  • C. Ryukyu Air Commuter
    Ryukyu Air Commuter is a Japanese regional airline that operates commuter flights primarily within the Okinawa Prefecture and surrounding islands.
  • D. Skymark Airlines
    Skymark Airlines is a Japanese low-cost carrier based in Tokyo that operates domestic flights and some international services.
  • E. 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.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc605005788190a4df1fe317f3056a completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab71962c8190823a1ca1d4fa56f3 completed April 3, 2026, 11:58 a.m.
Created at: March 30, 2026, 6:47 p.m.