Triple

T7153084
Position Surface form Disambiguated ID Type / Status
Subject Go Fly E166740 entity
Predicate callsign P1565 FINISHED
Object 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.
E644852 NE FINISHED

How this triple was built (4 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: GO-FLY | Statement: [Go Fly, callsign, GO-FLY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GO-FLY
Context triple: [Go Fly, callsign, GO-FLY]
  • A. flyadeal
    flyadeal is a Saudi low-cost airline based in Jeddah that operates domestic and regional flights as part of the Saudia Group.
  • B. 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.
  • C. FlySafair
    FlySafair is a South African low-cost airline known for operating domestic routes with a focus on affordability and reliability.
  • D. BA CityFlyer
    BA CityFlyer is a British regional airline operating short-haul services, primarily from London City Airport, under the British Airways brand.
  • E. Smartavia
    Smartavia is a Russian low-cost airline that operates domestic and regional flights, using Moscow Domodedovo International Airport as one of its main bases.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GO-FLY
Triple: [Go Fly, callsign, GO-FLY]
Generated description
GO-FLY is the radio callsign used by the former British low-cost airline Go Fly for air traffic control and communication purposes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GO-FLY
Target entity description: GO-FLY is the radio callsign used by the former British low-cost airline Go Fly for air traffic control and communication purposes.
  • A. flyadeal
    flyadeal is a Saudi low-cost airline based in Jeddah that operates domestic and regional flights as part of the Saudia Group.
  • B. 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.
  • C. FlySafair
    FlySafair is a South African low-cost airline known for operating domestic routes with a focus on affordability and reliability.
  • D. BA CityFlyer
    BA CityFlyer is a British regional airline operating short-haul services, primarily from London City Airport, under the British Airways brand.
  • E. Smartavia
    Smartavia is a Russian low-cost airline that operates domestic and regional flights, using Moscow Domodedovo International Airport as one of its main bases.
  • F. None of above. chosen

Provenance (5 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f52c1081908c4fa424d5e965bc completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adb0ea288190b7eef76de30a3a1e completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae1bde448190b546d292d213c8c9 completed March 28, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_69c7ae73e1a88190a18488b3155b2542 completed March 28, 2026, 10:33 a.m.
Created at: March 27, 2026, 2:46 p.m.