Triple

T12761960
Position Surface form Disambiguated ID Type / Status
Subject Flix SE E305016 entity
Predicate foundedAs P364 FINISHED
Object FlixMobility GmbH E305016 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: FlixMobility GmbH | Statement: [Flix SE, foundedAs, FlixMobility GmbH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FlixMobility GmbH
Context triple: [Flix SE, foundedAs, FlixMobility GmbH]
  • A. Flix SE chosen
    Flix SE is a German mobility company best known for operating the global FlixBus and FlixTrain networks and expanding into long-distance coach services through acquisitions such as Greyhound Lines.
  • B. Flexity Berlin
    Flexity Berlin is a low-floor tram model specifically developed by Bombardier for Berlin’s public transport network as part of its Flexity family of light rail vehicles.
  • C. Cineflix Media
    Cineflix Media is a Canadian television production and distribution company known for creating and selling popular factual and reality series worldwide.
  • D. Byfleet
    Byfleet is a village and former civil parish in southeast England, situated within the county of Surrey.
  • E. Faraday Future
    Faraday Future is an American electric vehicle startup focused on developing high-performance, luxury smart EVs and mobility technologies.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8e44188190840cd23d380bf23d completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f298f881908ad77f2d0ab588a8 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:28 p.m.