Triple

T21849907
Position Surface form Disambiguated ID Type / Status
Subject Cargojet E539475 entity
Predicate callsign P1565 FINISHED
Object CARGOJET 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: CARGOJET | Statement: [Cargojet, callsign, CARGOJET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CARGOJET
Context triple: [Cargojet, callsign, CARGOJET]
  • A. Sunwing Airlines
    Sunwing Airlines is a Canadian low-cost leisure carrier that primarily operates charter and scheduled flights to popular vacation destinations in the Caribbean, Mexico, and Central America.
  • B. Quebec Airways
    Quebec Airways was a regional Canadian airline that later became part of Canadian Pacific Air Lines through a merger.
  • C. Cargojet chosen
    Cargojet is a Canadian cargo airline specializing in time-sensitive overnight air freight services across North America and select international routes.
  • D. Mohawk Airlines
    Mohawk Airlines was a regional U.S. airline that operated primarily in the northeastern United States during the mid-20th century before merging into Allegheny Airlines.
  • E. Nordair
    Nordair was a former Canadian regional airline that operated passenger and cargo services, particularly in northern and remote areas, before being absorbed into larger national carriers.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd582ca48190890648fdee2a0c6e completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:55 p.m.