Triple
T35784972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlisle GM Nationals |
E1034539
|
entity |
| Predicate | typicalVehicleBrandsShown |
—
|
GENERATED |
| Object | Chevrolet |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalVehicleBrandsShown Context triple: [Carlisle GM Nationals, typicalVehicleBrandsShown, Chevrolet]
-
A.
vehicleBrandAssociated
Indicates that there is an association or linkage between a vehicle and a particular brand.
-
B.
vehicleManufacturerHosted
Indicates that a vehicle manufacturer organized, sponsored, or served as the host for a particular event or activity.
-
C.
fieldedCarBrand
chosen
Indicates that a particular car brand has been entered, deployed, or represented (e.g., in a race, event, or lineup) by some agent or organization.
-
D.
vehicleStandard
Indicates that something complies with, or is defined according to, a specified vehicle-related standard or regulatory specification.
-
E.
carManufacturer
Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
- F. None of above.
Provenance (1 batch)
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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.