Triple

T22863786
Position Surface form Disambiguated ID Type / Status
Subject Lancia Aprilia E566994 entity
Predicate marketedAs P1395 FINISHED
Object Aprilia NE NERFINISHED

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 | Statement: [Lancia Aprilia, marketedAs, Aprilia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aprilia
Context triple: [Lancia Aprilia, marketedAs, Aprilia]
  • A. Aprilia chosen
    Aprilia is a town and municipality in the Lazio region of central Italy, known for its agricultural production and proximity to Rome.
  • B. Aprilia
    Aprilia is an Italian motorcycle manufacturer renowned for its high-performance racing bikes and participation in premier motorcycle racing championships.
  • C. Ducati
    Ducati is an Italian motorcycle manufacturer renowned for its high-performance sport bikes, racing heritage, and distinctive design.
  • D. MV Agusta
    MV Agusta is an Italian motorcycle manufacturer renowned for its high-performance racing heritage and multiple world championship titles.
  • E. Ducati Hypermotard
    The Ducati Hypermotard is a high-performance Italian supermoto-style motorcycle known for its aggressive styling, upright riding position, and agile handling.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eff1c18819081dc9dfc1816f746 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.