Triple
T35751861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Farina |
E1033338
|
entity |
| Predicate | hasStyleOfDriving |
P92948
|
FINISHED |
| Object | smooth but aggressive |
—
|
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: smooth but aggressive | Statement: [Giuseppe Farina, hasStyleOfDriving, smooth but aggressive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStyleOfDriving Context triple: [Giuseppe Farina, hasStyleOfDriving, smooth but aggressive]
-
A.
hasDrivingStyle
chosen
Indicates the characteristic manner or pattern in which an entity typically drives.
-
B.
effectOnDrivingStyle
Indicates how one factor or condition influences or alters a person's manner or style of driving.
-
C.
hasDrivingSkill
Indicates that an entity possesses the ability or competence to operate and control a vehicle.
-
D.
isDriven
Indicates that one entity operates or controls the movement of another entity, typically a vehicle or device.
-
E.
drivingDiscipline
Indicates the manner and quality of how an entity operates a vehicle, especially in terms of adherence to traffic rules and safe driving behavior.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0010e46d948190a51111b5270fade7 |
completed | May 10, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_6a001061d34c8190bfe73f3d7c061eb7 |
completed | May 10, 2026, 4:58 a.m. |
Created at: May 3, 2026, 4:06 p.m.