Triple

T4039874
Position Surface form Disambiguated ID Type / Status
Subject Lyon–Saint-Exupéry Airport E83919 entity
Predicate focusCityFor P164 FINISHED
Object Air France 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 | Statement: [Lyon–Saint-Exupéry Airport, focusCityFor, Air France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air France
Context triple: [Lyon–Saint-Exupéry Airport, focusCityFor, Air France]
  • 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. 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.
  • 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. Lufthansa
    Lufthansa is Germany’s largest airline and a major global carrier known for its extensive international network and role in shaping modern airline alliances.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb39400881909d0f5430f04e441c completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56299dbe88190b36f4a488201acd8 completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:37 p.m.