Triple
T12136415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Carlos Pace |
E289067
|
entity |
| Predicate | F1Starts |
P52122
|
FINISHED |
| Object | 72 |
—
|
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: 72 | Statement: [José Carlos Pace, F1Starts, 72]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: F1Starts Context triple: [José Carlos Pace, F1Starts, 72]
-
A.
F1Status
Indicates the current competitive or operational standing of an entity within the context of Formula 1 (e.g., active, reserve, retired, or otherwise classified in F1).
-
B.
totalFormulaOneStarts
chosen
Indicates the total number of times an entity has started in Formula One races.
-
C.
firstFormulaOneGrandPrix
Indicates the event at which an entity made its debut participation in a Formula One Grand Prix.
-
D.
safetyCarPeriods
Indicates periods during an event when a safety car is deployed, affecting normal progression or conditions.
-
E.
racingSeries
Indicates that one entity is a racing series in which the other entity (such as a race, team, or driver) participates or to which it belongs.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.