Triple

T13914862
Position Surface form Disambiguated ID Type / Status
Subject HNA Group E334594 entity
Predicate owns P347 FINISHED
Object Aigle Azur
Aigle Azur was a French airline known for operating scheduled passenger services, particularly linking France with North and West African destinations.
 E1069069 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: Aigle Azur | Statement: [HNA Group, owns, Aigle Azur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aigle Azur
Context triple: [HNA Group, owns, Aigle Azur]
  • A. Aigle
    Aigle is a historic town in southwestern Switzerland known for its medieval castle and surrounding vineyards in the canton of Vaud.
  • B. Mont Colombier
    Mont Colombier is a prominent peak in the French Alps known for its panoramic views over the Bauges massif and surrounding alpine landscapes.
  • C. Aviron Bayonnais
    Aviron Bayonnais is a French professional rugby union club based in Bayonne, known for its Basque identity and participation in the country’s top rugby competitions.
  • D. Barbaroux
    Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
  • E. Delarue
    Delarue is a vengeful ex-soldier and gunslinger who serves as the main protagonist in the Western thriller film "The Salvation."
  • 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: Aigle Azur
Triple: [HNA Group, owns, Aigle Azur]
Generated description
Aigle Azur was a French airline known for operating scheduled passenger services, particularly linking France with North and West African destinations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aigle Azur
Target entity description: Aigle Azur was a French airline known for operating scheduled passenger services, particularly linking France with North and West African destinations.
  • A. Aigle
    Aigle is a historic town in southwestern Switzerland known for its medieval castle and surrounding vineyards in the canton of Vaud.
  • B. Mont Colombier
    Mont Colombier is a prominent peak in the French Alps known for its panoramic views over the Bauges massif and surrounding alpine landscapes.
  • C. Aviron Bayonnais
    Aviron Bayonnais is a French professional rugby union club based in Bayonne, known for its Basque identity and participation in the country’s top rugby competitions.
  • D. Barbaroux
    Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
  • E. Delarue
    Delarue is a vengeful ex-soldier and gunslinger who serves as the main protagonist in the Western thriller film "The Salvation."
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de27260ae08190be45b4b15898e365 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c72a345481908f8552bca7bb1a5a completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c8d477f881908f8cfd2783e7f10f completed May 3, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69f7ca27ffd4819080bccd6bfd88ddb3 completed May 3, 2026, 10:20 p.m.
Created at: April 9, 2026, 10:16 p.m.