Triple
T36734257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giovanna Amati |
E907423
|
entity |
| Predicate | numberOfF1GrandsPrixEntered |
—
|
GENERATED |
| Object | 3 |
—
|
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: numberOfF1GrandsPrixEntered Context triple: [Giovanna Amati, numberOfF1GrandsPrixEntered, 3]
-
A.
enteredGrandPrixRaces
Indicates that an entity participated as a competitor in one or more Grand Prix races.
-
B.
grandPrixNumberInHistory
Indicates the ordinal position of a particular Grand Prix within the overall historical sequence of all Grand Prix events.
-
C.
F1GrandsPrixEntered
chosen
Indicates the number of Formula 1 Grand Prix events that an entity has officially entered.
-
D.
grandPrixNumberAtCircuit
Indicates the ordinal number of the Grand Prix event held at a specific circuit within a series or season.
-
E.
hasGrandPrixStatus
Indicates that an event or competition holds official Grand Prix classification or status.
- 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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.