Triple
T35917660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mina Clavero – Giulio Cesare |
E1038790
|
entity |
| Predicate | drivingStyleFavored |
P92948
|
FINISHED |
| Object | precise and committed driving |
—
|
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: precise and committed driving | Statement: [Mina Clavero – Giulio Cesare, drivingStyleFavored, precise and committed driving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivingStyleFavored Context triple: [Mina Clavero – Giulio Cesare, drivingStyleFavored, precise and committed driving]
-
A.
hasDrivingStyle
chosen
Indicates the characteristic manner or pattern in which an entity typically drives.
-
B.
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.
-
C.
drivingTechnique
Indicates a method or style used by a driver to control and maneuver a vehicle.
-
D.
styleOfRacing
Indicates the specific manner or approach in which an entity participates in or performs racing.
-
E.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaa7a89081909b1d7b3118c3d4b1 |
completed | May 3, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.