Triple

T11428403
Position Surface form Disambiguated ID Type / Status
Subject FlixBus E270812 entity
Predicate parentOrganization P254 FINISHED
Object Flix SE 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: Flix SE | Statement: [FlixBus, parentOrganization, Flix SE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flix SE
Context triple: [FlixBus, parentOrganization, Flix SE]
  • 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. Flix
    Flix is a small municipality in Catalonia, Spain, known for its location along a bend of the Ebro River and its historical industrial and hydroelectric activities.
  • C. Flix
    Flix is one of the official cartoon mascots created to represent and promote the UEFA Euro 2008 football championship.
  • D. 7flix
    7flix is an Australian free-to-air digital television channel operated by the Seven Network, focusing on movies, drama, and entertainment programming.
  • E. Mubi
    Mubi is an Afroasiatic Chadic language spoken primarily in parts of Chad.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c000b88190bfaa646b2dc424b7 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d36cee548190a8215ba088bdb01a completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.