Triple

T19957791
Position Surface form Disambiguated ID Type / Status
Subject Mike Hailwood E479729 entity
Predicate racedForTeam P60038 FINISHED
Object Ducati 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: Ducati | Statement: [Mike Hailwood, racedForTeam, Ducati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ducati
Context triple: [Mike Hailwood, racedForTeam, Ducati]
  • A. Ducati chosen
    Ducati is an Italian motorcycle manufacturer renowned for its high-performance sport bikes, racing heritage, and distinctive design.
  • B. Aprilia
    Aprilia is a town and municipality in the Lazio region of central Italy, known for its agricultural production and proximity to Rome.
  • C. Aprilia
    Aprilia is an Italian motorcycle manufacturer renowned for its high-performance racing bikes and participation in premier motorcycle racing championships.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af1b32c81908ebe0e2570ec06a9 completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.