Triple
T32424740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Grand Prix |
E828547
|
entity |
| Predicate | firstWorldChampionshipEventAtCircuit |
—
|
GENERATED |
| Object | Fuji Speedway |
—
|
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: firstWorldChampionshipEventAtCircuit Context triple: [Japanese Grand Prix, firstWorldChampionshipEventAtCircuit, Fuji Speedway]
-
A.
firstRaceAtCircuit
chosen
Indicates that the referenced race is the first race ever held at the specified circuit.
-
B.
firstF1RaceHeld
Indicates that the subject is the location or venue where the first Formula 1 race was held.
-
C.
firstChampionshipWinEvent
Indicates the event in which an entity achieves its first-ever championship victory.
-
D.
mostFamousCircuit
Indicates that one circuit is considered the most famous or well-known among a relevant set of circuits.
-
E.
grandPrixNumberAtCircuit
Indicates the ordinal number of the Grand Prix event held at a specific circuit within a series or season.
- 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:54 a.m.