Triple

T23520008
Position Surface form Disambiguated ID Type / Status
Subject Okay Airways E574477 entity
Predicate callsign P1565 FINISHED
Object OKAYJET 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: OKAYJET | Statement: [Okay Airways, callsign, OKAYJET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OKAYJET
Context triple: [Okay Airways, callsign, OKAYJET]
  • A. Cargojet
    Cargojet is a Canadian cargo airline specializing in time-sensitive overnight air freight services across North America and select international routes.
  • B. Okay Airways chosen
    Okay Airways is a Chinese airline headquartered in Beijing that operates domestic and regional flights, known as China's first private-sector airline.
  • C. AJet
    AJet is a Turkish low-cost airline operating domestic and international flights, primarily associated with Sabiha Gökçen International Airport in Istanbul.
  • D. Airphil Express
    Airphil Express was a Philippine low-cost airline that operated domestic and regional flights before being rebranded as PAL Express, a subsidiary of Philippine Airlines.
  • E. Travel Air 2000
    The Travel Air 2000 is an American three-seat open-cockpit biplane from the 1920s, widely used for sport flying, training, and barnstorming in the early years of civil aviation.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa85cb2c81908afbd0df0caeef4d completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.