Triple

T17334116
Position Surface form Disambiguated ID Type / Status
Subject Premium Voyageur E420889 entity
Predicate bookingChannel P6095 FINISHED
Object Air France website E16857 NE FINISHED

How this triple was built (2 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: Air France website | Statement: [Premium Voyageur, bookingChannel, Air France website]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air France website
Context triple: [Premium Voyageur, bookingChannel, Air France website]
  • A. Air France chosen
    Air France is the French flag carrier airline and one of Europe’s major international airlines, operating a global network of passenger and cargo services.
  • B. Air France-KLM
    Air France-KLM is a major Franco-Dutch airline holding company and one of Europe’s largest airline groups, operating extensive global passenger and cargo networks.
  • C. Clic Air
    Clic Air is a regional airline based in Colombia that operates passenger services connecting smaller cities and regional airports.
  • D. French Bee Airlines
    French Bee Airlines is a French low-cost, long-haul carrier known for operating budget flights primarily between France, the United States, and various leisure destinations.
  • E. Transavia France
    Transavia France is a French low-cost airline and subsidiary of the Air France-KLM group, operating primarily short- and medium-haul leisure routes across Europe and the Mediterranean.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a106df48190a50f96febc13cde7 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c5205088190aa724873c6296b1e completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.