Triple

T4208510
Position Surface form Disambiguated ID Type / Status
Subject Flying Blue E93839 entity
Predicate operator P179 FINISHED
Object Aircalin
Aircalin is the international airline of New Caledonia, operating regional and long-haul flights primarily across the Pacific and to Asia.
 E425089 NE FINISHED

How this triple was built (4 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: Aircalin | Statement: [Flying Blue, operator, Aircalin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aircalin
Context triple: [Flying Blue, operator, Aircalin]
  • A. 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.
  • B. Skymark Airlines
    Skymark Airlines is a Japanese low-cost carrier based in Tokyo that operates domestic flights and some international services.
  • C. Asia Pacific Airlines
    Asia Pacific Airlines is a cargo and charter airline based in Guam that primarily serves destinations across Micronesia and the Western Pacific region.
  • 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. Japan Airlines
    Japan Airlines is the flag carrier of Japan, operating an extensive network of domestic and international flights across Asia, Europe, and the Americas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aircalin
Triple: [Flying Blue, operator, Aircalin]
Generated description
Aircalin is the international airline of New Caledonia, operating regional and long-haul flights primarily across the Pacific and to Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aircalin
Target entity description: Aircalin is the international airline of New Caledonia, operating regional and long-haul flights primarily across the Pacific and to Asia.
  • A. 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.
  • B. Skymark Airlines
    Skymark Airlines is a Japanese low-cost carrier based in Tokyo that operates domestic flights and some international services.
  • C. Asia Pacific Airlines
    Asia Pacific Airlines is a cargo and charter airline based in Guam that primarily serves destinations across Micronesia and the Western Pacific region.
  • 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. Japan Airlines
    Japan Airlines is the flag carrier of Japan, operating an extensive network of domestic and international flights across Asia, Europe, and the Americas.
  • F. None of above. chosen

Provenance (5 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3480f80208190b08ca6ccfe9c41f6 completed March 12, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a84ffb18819081fcd4b258ccfedf completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5a8e024a081909e7ecbe969793281 completed March 14, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_69b5acefd1f881908226ff68a741552b completed March 14, 2026, 6:46 p.m.
Created at: March 12, 2026, 11:03 p.m.