Triple

T17011475
Position Surface form Disambiguated ID Type / Status
Subject Norra E412709 entity
Predicate formerName P65 FINISHED
Object Flybe Nordic
Flybe Nordic was a Finnish regional airline that operated domestic and short-haul international flights in Northern Europe before being rebranded as Nordic Regional Airlines (Norra).
 E1246148 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: Flybe Nordic | Statement: [Norra, formerName, Flybe Nordic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flybe Nordic
Context triple: [Norra, formerName, Flybe Nordic]
  • A. Flybe
    Flybe was a British regional airline that operated short-haul flights across the UK and Europe before ceasing operations.
  • B. Flynas
    Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
  • C. Crossair
    Crossair was a former Swiss regional airline that served as the main predecessor to Swiss International Air Lines after the collapse of Swissair.
  • D. Lynx Air
    Lynx Air is a Canadian ultra-low-cost airline that operates domestic and select international flights, primarily serving major hubs such as Toronto Pearson International Airport.
  • E. Ryanair
    Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
  • 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: Flybe Nordic
Triple: [Norra, formerName, Flybe Nordic]
Generated description
Flybe Nordic was a Finnish regional airline that operated domestic and short-haul international flights in Northern Europe before being rebranded as Nordic Regional Airlines (Norra).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flybe Nordic
Target entity description: Flybe Nordic was a Finnish regional airline that operated domestic and short-haul international flights in Northern Europe before being rebranded as Nordic Regional Airlines (Norra).
  • A. Flybe
    Flybe was a British regional airline that operated short-haul flights across the UK and Europe before ceasing operations.
  • B. Flynas
    Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
  • C. Crossair
    Crossair was a former Swiss regional airline that served as the main predecessor to Swiss International Air Lines after the collapse of Swissair.
  • D. Lynx Air
    Lynx Air is a Canadian ultra-low-cost airline that operates domestic and select international flights, primarily serving major hubs such as Toronto Pearson International Airport.
  • E. Ryanair
    Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47bcb508190a799f0bad6b70245 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b46e89c81908271eb22b535c558 completed May 10, 2026, 11:56 p.m.
NEDg Description generation batch_6a011c99c3948190ac3d3d9059dbb57e completed May 11, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a011d4b53d081909781235ded1c2b35 completed May 11, 2026, 12:05 a.m.
Created at: April 10, 2026, 5:33 a.m.