Triple
T12999133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiorano GT Challenge |
E322119
|
entity |
| Predicate | vehicleTheme |
P107757
|
FINISHED |
| Object | Ferrari-inspired GT cars |
—
|
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: Ferrari-inspired GT cars | Statement: [Fiorano GT Challenge, vehicleTheme, Ferrari-inspired GT cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleTheme Context triple: [Fiorano GT Challenge, vehicleTheme, Ferrari-inspired GT cars]
-
A.
drivesTheme
Indicates that one element is the primary motivating force or underlying cause that shapes, propels, or organizes a particular theme.
-
B.
vehicleObsession
Indicates an intense, often excessive preoccupation or fixation that one entity has with vehicles.
-
C.
vehicleName
Indicates the specific name or designation assigned to a vehicle.
-
D.
musicVehicle
Indicates a relationship where a vehicle is associated with or used for playing, broadcasting, or producing music.
-
E.
starVehicleFor
Indicates that one entity serves as the primary or featured vehicle associated with another entity, such as a person, production, or event.
- F. None of above. chosen
Provenance (4 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7b268c8190b8bb855e9de23c3b |
completed | April 10, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e74283c819082e69ac3554fa7d8 |
completed | April 10, 2026, 10:49 p.m. |
Created at: April 9, 2026, 8:46 p.m.