Triple
T19045783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrari SF90 Stradale |
E466126
|
entity |
| Predicate | torqueVectoring |
P62551
|
FINISHED |
| Object | front-axle torque vectoring via electric motors |
—
|
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: front-axle torque vectoring via electric motors | Statement: [Ferrari SF90 Stradale, torqueVectoring, front-axle torque vectoring via electric motors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: torqueVectoring Context triple: [Ferrari SF90 Stradale, torqueVectoring, front-axle torque vectoring via electric motors]
-
A.
torqueDistribution
chosen
Indicates how torque or rotational force is apportioned among multiple components, such as wheels, axles, or motors, within a system.
-
B.
drivingForce
Indicates a causal influence or motivating factor that propels or significantly shapes another process, event, or outcome.
-
C.
torque
Indicates a rotational force applied by one entity on another around a pivot or axis.
-
D.
drivetrainFeature
Indicates that an entity has a specific characteristic, component, or capability related to its drivetrain system.
-
E.
steeringType
Indicates the kind or mechanism of steering control used to direct the movement of an entity.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80466f88190988171920f2be7dc |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.