Triple

T9539916
Position Surface form Disambiguated ID Type / Status
Subject Fair Inc. E230124 entity
Predicate originalNameOf P65 FINISHED
Object Ibex Airlines E45429 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: Ibex Airlines | Statement: [Fair Inc., originalNameOf, Ibex Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibex Airlines
Context triple: [Fair Inc., originalNameOf, Ibex Airlines]
  • A. Ibex Airlines chosen
    Ibex Airlines is a Japanese regional airline that operates domestic routes, often connecting smaller cities and regional airports within Japan.
  • B. Interjet
    Interjet was a Mexican low-cost airline known for operating domestic and international routes across the Americas before ceasing operations in 2020.
  • C. Ikar Airlines
    Ikar Airlines, operating under the brand name Pegas Fly, is a Russian charter and scheduled airline that primarily serves leisure destinations for tour operators.
  • D. Hunnu Air
    Hunnu Air is a Mongolian airline that operates domestic and regional international flights, primarily serving as a key carrier based in Ulaanbaatar.
  • E. Crossair
    Crossair was a former Swiss regional airline that served as the main predecessor to Swiss International Air Lines after the collapse of Swissair.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e4df6c8190a4d1160c42daa45f completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18211c1408190806823e93932c64c completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 8:01 p.m.