Triple

T4247072
Position Surface form Disambiguated ID Type / Status
Subject Wizz Air E95554 entity
Predicate hasSubsidiary P254 FINISHED
Object Wizz Air UK
Wizz Air UK is a British low-cost airline operating as the UK-based subsidiary of the Central and Eastern European carrier Wizz Air.
 E95554 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: Wizz Air UK | Statement: [Wizz Air, hasSubsidiary, Wizz Air UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wizz Air UK
Context triple: [Wizz Air, hasSubsidiary, Wizz Air UK]
  • A. 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.
  • B. Ryanair
    Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
  • C. TUI Airways
    TUI Airways is a British charter and scheduled airline that primarily serves leisure destinations across Europe and worldwide as part of the TUI Group.
  • D. Flybe
    Flybe was a British regional airline that operated short-haul flights across the UK and Europe before ceasing operations.
  • E. Flynas
    Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
  • 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: Wizz Air UK
Triple: [Wizz Air, hasSubsidiary, Wizz Air UK]
Generated description
Wizz Air UK is a British low-cost airline operating as the UK-based subsidiary of the Central and Eastern European carrier Wizz Air.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wizz Air UK
Target entity description: Wizz Air UK is a British low-cost airline operating as the UK-based subsidiary of the Central and Eastern European carrier Wizz Air.
  • A. Wizz Air chosen
    Wizz Air is a Hungarian ultra-low-cost airline known for operating an extensive network of budget flights across Europe and surrounding regions.
  • B. Ryanair
    Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
  • C. TUI Airways
    TUI Airways is a British charter and scheduled airline that primarily serves leisure destinations across Europe and worldwide as part of the TUI Group.
  • D. Flybe
    Flybe was a British regional airline that operated short-haul flights across the UK and Europe before ceasing operations.
  • E. Flynas
    Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
  • F. None of above.

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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9b64ac81908dc44eaae6829b50 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b77ce4d48190ba24e3ef8c9ceb8d completed March 14, 2026, 7:31 p.m.
NEDg Description generation batch_69b5bb7b11e08190abe931711bc7811d completed March 14, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69b5bbda0cec819092b4f6dd0c8257c3 completed March 14, 2026, 7:49 p.m.
Created at: March 12, 2026, 11:05 p.m.