Triple

T7625294
Position Surface form Disambiguated ID Type / Status
Subject Hamilton Airport E172612 entity
Predicate focusCityFor P164 FINISHED
Object Cargojet E539475 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: Cargojet | Statement: [Hamilton Airport, focusCityFor, Cargojet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cargojet
Context triple: [Hamilton Airport, focusCityFor, Cargojet]
  • A. Cargojet chosen
    Cargojet is a Canadian cargo airline specializing in time-sensitive overnight air freight services across North America and select international routes.
  • B. Sky Express
    Sky Express is a Greek regional airline that operates domestic flights connecting numerous islands and mainland cities within Greece.
  • C. Solaseed Air
    Solaseed Air is a Japanese regional airline based in Miyazaki that primarily operates domestic routes across Kyushu and other parts of Japan.
  • D. Jet Sosyete
    Jet Sosyete is a Turkish television comedy series created by and starring Gülse Birsel, known for its satirical take on modern urban life and social class differences.
  • E. Jet Aviation
    Jet Aviation is a global business aviation services company that provides aircraft maintenance, management, charter, and fixed-base operator (FBO) services at airports worldwide.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa8039148190a492a0a25bcc7c55 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870a518f48190a4bba3657a7844f4 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:56 p.m.