Triple

T3155639
Position Surface form Disambiguated ID Type / Status
Subject Air France-KLM E65978 entity
Predicate owns P347 FINISHED
Object Transavia Netherlands E81309 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: Transavia Netherlands | Statement: [Air France-KLM, owns, Transavia Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Transavia Netherlands
Context triple: [Air France-KLM, owns, Transavia Netherlands]
  • A. Transavia chosen
    Transavia is a Dutch low-cost airline operating scheduled and charter flights across Europe and North Africa.
  • B. 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.
  • C. KLM
    KLM is the flag carrier airline of the Netherlands and one of the world's oldest airlines still operating under its original name.
  • D. Brussels Airlines
    Brussels Airlines is the flag carrier airline of Belgium, operating flights across Europe, Africa, and other regions as part of the Lufthansa Group.
  • E. Martinair
    Martinair is a Dutch airline based in the Netherlands that operates both cargo and charter passenger services, historically linked to KLM.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5e97548819084643586fff2e3cb completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b261fd69dc8190a6005d1af2d12a11 completed March 12, 2026, 6:49 a.m.
Created at: March 8, 2026, 3:05 p.m.