Triple
T35752216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 European Grand Prix |
E1033347
|
entity |
| Predicate | firstFormulaOneRaceInCountry |
—
|
GENERATED |
| Object | Azerbaijan |
—
|
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: firstFormulaOneRaceInCountry Context triple: [2016 European Grand Prix, firstFormulaOneRaceInCountry, Azerbaijan]
-
A.
firstF1RaceInRegion
chosen
Indicates that a given Formula 1 race is the first F1 race ever held within a specified geographic region.
-
B.
firstF1RaceHeld
Indicates that the subject is the location or venue where the first Formula 1 race was held.
-
C.
firstFormulaOneWin
Indicates that the subject achieved their first victory in a Formula One race in relation to the specified event or context.
-
D.
firstF1Season
Indicates the Formula 1 season in which an entity (typically a driver or team) first competed.
-
E.
firstF1GrandPrixYear
Indicates the year in which a given Formula 1 Grand Prix was first 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.