Triple

T3604937
Position Surface form Disambiguated ID Type / Status
Subject SBV Vitesse E76346 entity
Predicate shortName P43 FINISHED
Object Vitesse E371439 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: Vitesse | Statement: [SBV Vitesse, shortName, Vitesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitesse
Context triple: [SBV Vitesse, shortName, Vitesse]
  • A. Vitesse chosen
    Vitesse is a professional Dutch football club based in Arnhem that competes in the country's top leagues and European competitions.
  • B. SPEED
    SPEED was an American cable and satellite television network focused on motorsports and automotive programming.
  • C. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • D. Couper
    Couper is a surname and variant spelling of Cooper, used by various individuals and families, particularly in English-speaking regions.
  • E. Venturi
    Venturi is an Italian surname most prominently associated with architect Robert Venturi, a key figure in postmodern architecture.
  • 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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc1e1f9188190b481c26b7f561db7 completed March 8, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43309a9b48190bc2aa6f970d45612 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:22 p.m.