Triple
T24791696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GT Daytona |
E620267
|
entity |
| Predicate | driverClassificationSystem |
P6736
|
FINISHED |
| Object | FIA driver ratings |
—
|
NE NERFINISHED |
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: FIA driver ratings | Statement: [GT Daytona, driverClassificationSystem, FIA driver ratings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: driverClassificationSystem Context triple: [GT Daytona, driverClassificationSystem, FIA driver ratings]
-
A.
classificationSystemBasedOn
Indicates that one classification system is organized, defined, or derived using another classification system as its basis or reference framework.
-
B.
classificationSystem
chosen
Indicates a relationship where an entity is organized or categorized according to a particular classification scheme or taxonomy.
-
C.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
-
D.
coachType
Indicates the specific category or role of a coach associated with an entity (e.g., head coach, assistant coach, position coach).
-
E.
intendedVehicleClass
Indicates that one entity is designed or specified to be used with, or is appropriate for, a particular class or category of vehicle.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:47 a.m.