Triple

T5257175
Position Surface form Disambiguated ID Type / Status
Subject Nissan GT-R E118728 entity
Predicate brakeSupplier P37627 FINISHED
Object Brembo E250921 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: Brembo | Statement: [Nissan GT-R, brakeSupplier, Brembo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brembo
Context triple: [Nissan GT-R, brakeSupplier, Brembo]
  • A. Brembo chosen
    Brembo is an Italian company renowned worldwide for designing and manufacturing high-performance braking systems for cars, motorcycles, and racing vehicles.
  • B. Brembo
    Brembo is a river in northern Italy that flows through the Lombardy region before joining the Adda River.
  • C. Pirelli
    Pirelli is an Italian multinational company best known as one of the world’s leading manufacturers of high-performance tyres, particularly in motorsport and premium road vehicles.
  • D. Dallara
    Dallara is an Italian race car manufacturer renowned for designing and building chassis for top-level motorsport series worldwide, including IndyCar.
  • E. Canelli
    Canelli is a town in Italy’s Piedmont region renowned for its historic wine production and UNESCO-listed underground wine cellars.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba64fe48190943e7d49f6e1449a completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7ded18819094f86cfff458953c completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.