Triple

T13800416
Position Surface form Disambiguated ID Type / Status
Subject Gothenburg Central Station E331623 entity
Predicate hasService P182 FINISHED
Object FlixTrain 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: FlixTrain | Statement: [Gothenburg Central Station, hasService, FlixTrain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FlixTrain
Context triple: [Gothenburg Central Station, hasService, FlixTrain]
  • 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. FilmStruck
    FilmStruck was a subscription-based streaming service specializing in classic, arthouse, and independent films, including titles from the Criterion Collection.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ded6c8190851c108ae559a355 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0893a20819081d4001b8dbc9c36 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:11 p.m.