Triple

T13525736
Position Surface form Disambiguated ID Type / Status
Subject Toyota performance models E323012 entity
Predicate developedBy P73 FINISHED
Object Gazoo Racing E83489 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: Gazoo Racing | Statement: [Toyota performance models, developedBy, Gazoo Racing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gazoo Racing
Context triple: [Toyota performance models, developedBy, Gazoo Racing]
  • A. Gazoo Racing chosen
    Gazoo Racing is Toyota’s global motorsport and high-performance division, responsible for its racing activities and sporty road car models.
  • B. Rust-eze Racing
    Rust-eze Racing is the fictional NASCAR-style racing team and sponsor organization that backs Lightning McQueen in the Cars film franchise.
  • C. Wolf Racing
    Wolf Racing was a Canadian Formula One team that competed in the 1970s, known for fielding drivers such as James Hunt and Jody Scheckter.
  • D. OZ Racing
    OZ Racing is an Italian manufacturer renowned for producing high-performance alloy wheels for motorsport and premium road cars.
  • E. Toyota GR Supra GT4
    The Toyota GR Supra GT4 is a customer-focused GT4-class race car based on the GR Supra, engineered by Toyota Gazoo Racing for international sports car competition.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa6ad60819087824e4ac83934ed completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f84935c8190b9e41f44140066e5 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:44 p.m.