Triple
T36734257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giovanna Amati |
E907423
|
entity |
| Predicate | numberOfF1GrandsPrixEntered |
P120096
|
FINISHED |
| Object | 3 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 3 | Statement: [Giovanna Amati, numberOfF1GrandsPrixEntered, 3]
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 (3 batches)
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. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:12 p.m.