Triple

T16266493
Position Surface form Disambiguated ID Type / Status
Subject Aprilia E394887 entity
Predicate hasLogo P103 FINISHED
Object Aprilia logo E394887 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: Aprilia logo | Statement: [Aprilia, hasLogo, Aprilia logo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aprilia logo
Context triple: [Aprilia, hasLogo, Aprilia logo]
  • A. Aprilia
    Aprilia is a town and municipality in the Lazio region of central Italy, known for its agricultural production and proximity to Rome.
  • B. Aprilia chosen
    Aprilia is an Italian motorcycle manufacturer renowned for its high-performance racing bikes and participation in premier motorcycle racing championships.
  • C. MV Agusta
    MV Agusta is an Italian motorcycle manufacturer renowned for its high-performance racing heritage and multiple world championship titles.
  • D. Ducati
    Ducati is an Italian motorcycle manufacturer renowned for its high-performance sport bikes, racing heritage, and distinctive design.
  • E. Lancia Aprilia
    The Lancia Aprilia is an innovative late-1930s Italian family car renowned for its advanced aerodynamics, independent suspension, and pioneering unibody construction.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c839788190b974d1d0d2525b88 completed April 17, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017bb1d64819080f007656307f58b completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.