Triple

T22818877
Position Surface form Disambiguated ID Type / Status
Subject CP Air E565174 entity
Predicate rebrandedAs P65 FINISHED
Object CP Air NE NERFINISHED

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: CP Air | Statement: [CP Air, rebrandedAs, CP Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CP Air
Context triple: [CP Air, rebrandedAs, CP Air]
  • A. CP Air chosen
    CP Air was a major Canadian airline that operated international and domestic routes from the mid-20th century until its merger into Canadian Airlines in the 1980s.
  • B. Loong Air
    Loong Air is a Chinese passenger and cargo airline based in Hangzhou that operates domestic and regional routes across Asia.
  • C. Juneyao Air
    Juneyao Air is a Chinese full-service airline based in Shanghai that operates domestic and international flights, primarily across Asia and to select long-haul destinations.
  • D. China Express Airlines
    China Express Airlines is a Chinese regional carrier that operates domestic and short-haul international flights, primarily serving smaller cities and regional airports across China.
  • E. Mandarin Airlines
    Mandarin Airlines is a Taiwanese regional airline that operates domestic and short-haul international flights, primarily serving secondary routes within Taiwan and nearby Asian destinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dce762c8190934fb921f942c9fd completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:33 p.m.