Triple
T35752281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baku City Circuit |
E1033348
|
entity |
| Predicate | firstFormulaOneRaceWinner |
—
|
GENERATED |
| Object | Nico Rosberg |
—
|
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: firstFormulaOneRaceWinner Context triple: [Baku City Circuit, firstFormulaOneRaceWinner, Nico Rosberg]
-
A.
firstFormulaOneWin
chosen
Indicates that the subject achieved their first victory in a Formula One race in relation to the specified event or context.
-
B.
firstFormulaOneGrandPrix
Indicates the event at which an entity made its debut participation in a Formula One Grand Prix.
-
C.
firstPolePositionDriver
Indicates the driver who achieved the very first pole position in a given racing event or series.
-
D.
totalFormulaOneWins
Indicates the total number of Formula One race victories achieved by a given driver, team, or other relevant entity.
-
E.
firstF1RaceHeld
Indicates that the subject is the location or venue where the first Formula 1 race was held.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.