Triple
T35730669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 Golden Steering Wheel (compact cars category) |
E1032742
|
entity |
| Predicate | notableWinnerModelYear |
—
|
GENERATED |
| Object | 2013 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableWinnerModelYear Context triple: [2013 Golden Steering Wheel (compact cars category), notableWinnerModelYear, 2013]
-
A.
winnerModelYear
chosen
Indicates that a model was the winning model for a particular year.
-
B.
notableFirstWinner
Indicates that the subject is the first and notably recognized winner of the object (such as an award, competition, or title).
-
C.
notableWinner
Indicates that the subject is a particularly distinguished or prominent winner of the referenced competition, award, or contest.
-
D.
notableSelectionYear
Indicates the year in which an entity was notably selected for a particular role, honor, list, or recognition.
-
E.
notableProductionYear
Indicates the year in which an entity produced something considered notable or significant.
- F. None of above.
Provenance (1 batch)
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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.