Triple
T13525637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR |
E323010
|
entity |
| Predicate | fullName |
P16
|
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: [GR, fullName, Gazoo Racing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gazoo Racing Context triple: [GR, fullName, 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 Racing Series
The Toyota Racing Series is New Zealand’s premier single-seater motorsport championship, known for developing young driving talent on an international stage.
- 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_69f7549dda6481908e9305690488b1af |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.