Triple
T35330893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 at Phoenix International Raceway |
E1020312
|
entity |
| Predicate | firstCareerTruckSeriesWinFor |
—
|
GENERATED |
| Object | Daniel Suárez |
—
|
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: firstCareerTruckSeriesWinFor Context triple: [2016 at Phoenix International Raceway, firstCareerTruckSeriesWinFor, Daniel Suárez]
-
A.
firstNASCARTruckSeriesWin
chosen
Indicates the event in which an entity achieves its first victory in a NASCAR Truck Series race.
-
B.
firstNASCARCupSeriesWin
Indicates the event in which an entity (typically a driver) achieves their first victory in a NASCAR Cup Series race.
-
C.
NASCARTruckSeriesWins
Indicates the number of race victories an entity has achieved in NASCAR Truck Series competitions.
-
D.
firstXfinityWin
Indicates that an entity achieves its first victory in an Xfinity Series event.
-
E.
startedNASCARCupSeriesCareer
Indicates that an entity began their professional career in the NASCAR Cup Series.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:03 p.m.