Triple

T5838398
Position Surface form Disambiguated ID Type / Status
Subject Ruter E129530 entity
Predicate collaboratesWith P37 FINISHED
Object Vy Buss E537564 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: Vy Buss | Statement: [Ruter, collaboratesWith, Vy Buss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vy Buss
Context triple: [Ruter, collaboratesWith, Vy Buss]
  • A. Vy Buss chosen
    Vy Buss is a Norwegian bus company operating regional and local bus services as part of the state-owned transport group Vy.
  • B. Buss
    Buss is a surname most notably associated with David M. Buss, an influential American evolutionary psychologist known for his work on human mating strategies.
  • C. Boyega
    Boyega is the surname of British actor and producer John Boyega, best known for his role as Finn in the Star Wars sequel trilogy.
  • D. Bennie
    Bennie is a masculine given name, often used as a diminutive of Benjamin or Bennett.
  • E. Kin Vassy
    Kin Vassy was an American singer and songwriter best known for his work in country and pop music, including collaborations with artists like Kenny Rogers and Frank Zappa.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a66c448190a6ea7f9827cbffe9 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19a6554819086cdae499f4d2247 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.