Triple

T17548214
Position Surface form Disambiguated ID Type / Status
Subject Doncaster Sheffield Airport E427384 entity
Predicate wasBaseFor P34379 FINISHED
Object Wizz Air UK
Wizz Air UK is a British low-cost airline and subsidiary of the Hungarian carrier Wizz Air, operating short-haul flights primarily across Europe.
 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: [Doncaster Sheffield Airport, wasBaseFor, Wizz Air UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wizz Air UK
Context triple: [Doncaster Sheffield Airport, wasBaseFor, 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: [Doncaster Sheffield Airport, wasBaseFor, Wizz Air UK]
Generated description
Wizz Air UK is a British low-cost airline and subsidiary of the Hungarian carrier Wizz Air, operating short-haul flights primarily across Europe.
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 and subsidiary of the Hungarian carrier Wizz Air, operating short-haul flights primarily across Europe.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454631e148190a1d46a6ecb79c71a completed April 19, 2026, 4:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efa610c88190a2fa093066c17a94 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f0a3cd5c8190b5c05694f5304d01 completed May 12, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a02f18036788190ad1a2893fd104261 completed May 12, 2026, 9:23 a.m.
Created at: April 10, 2026, 5:49 a.m.