Triple

T1458386
Position Surface form Disambiguated ID Type / Status
Subject Saudia E31450 entity
Predicate hasSubsidiary P254 FINISHED
Object flyadeal
flyadeal is a Saudi low-cost airline based in Jeddah that operates domestic and regional flights as part of the Saudia Group.
 E168124 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: flyadeal | Statement: [Saudia, hasSubsidiary, flyadeal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: flyadeal
Context triple: [Saudia, hasSubsidiary, flyadeal]
  • A. flydubai
    flydubai is a Dubai-based low-cost airline operating an extensive network of regional and international routes, primarily across the Middle East, Asia, Africa, and Europe.
  • B. easyJet
    easyJet is a major British low-cost airline operating extensive domestic and European routes.
  • C. Wizz Air
    Wizz Air is a Hungarian ultra-low-cost airline known for operating an extensive network of budget flights across Europe and surrounding regions.
  • D. Flybe
    Flybe was a British regional airline that operated short-haul flights across the UK and Europe before ceasing operations.
  • 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: flyadeal
Triple: [Saudia, hasSubsidiary, flyadeal]
Generated description
flyadeal is a Saudi low-cost airline based in Jeddah that operates domestic and regional flights as part of the Saudia Group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: flyadeal
Target entity description: flyadeal is a Saudi low-cost airline based in Jeddah that operates domestic and regional flights as part of the Saudia Group.
  • A. flydubai
    flydubai is a Dubai-based low-cost airline operating an extensive network of regional and international routes, primarily across the Middle East, Asia, Africa, and Europe.
  • B. easyJet
    easyJet is a major British low-cost airline operating extensive domestic and European routes.
  • C. Wizz Air
    Wizz Air is a Hungarian ultra-low-cost airline known for operating an extensive network of budget flights across Europe and surrounding regions.
  • D. Flybe
    Flybe was a British regional airline that operated short-haul flights across the UK and Europe before ceasing operations.
  • 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_69a49917dfc081909acdbdf5d684f1ef completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c59a462881908e84b27846a6bc04 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e7643e081909a088035faf2022d completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad121fee9c81909efddee10191b791 completed March 8, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69ad127f25548190bdbcf99132237ad4 completed March 8, 2026, 6:09 a.m.
Created at: March 1, 2026, 8 p.m.