Triple

T7312412
Position Surface form Disambiguated ID Type / Status
Subject flyadeal E168124 entity
Predicate callsign P1565 FINISHED
Object FLYADEAL E168124 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: FLYADEAL | Statement: [flyadeal, callsign, FLYADEAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FLYADEAL
Context triple: [flyadeal, callsign, FLYADEAL]
  • A. flyadeal chosen
    flyadeal is a Saudi low-cost airline based in Jeddah that operates domestic and regional flights as part of the Saudia Group.
  • B. GO-FLY
    GO-FLY is the radio callsign used by the former British low-cost airline Go Fly for air traffic control and communication purposes.
  • C. FlySafair
    FlySafair is a South African low-cost airline known for operating domestic routes with a focus on affordability and reliability.
  • D. Jet2holidays
    Jet2holidays is a UK-based package holiday provider offering flights, accommodation, and transfers to popular leisure destinations, primarily served by its sister airline Jet2.com.
  • E. Flybondi
    Flybondi is an Argentine low-cost airline known for pioneering budget air travel within Argentina and operating domestic and regional routes from key hubs such as Buenos Aires.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec00fef081909cb9768a70cabd80 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e56b4178819087341903a168440b completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3:02 p.m.