Triple
T812053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram Trucks |
E17566
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | pickup truck manufacturer |
C136
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: pickup truck manufacturer Context triple: [Ram Trucks, instanceOf, pickup truck manufacturer]
-
A.
full-size pickup truck
A full-size pickup truck is a large, body-on-frame light-duty vehicle with a spacious cab and a full-length open cargo bed designed for towing, hauling, and versatile work or recreational use.
-
B.
pickup truck line
A pickup truck line is a series of related pickup truck models produced by a manufacturer that share a common platform, design language, and branding while offering variations in size, features, and capabilities.
-
C.
sport utility vehicle
A sport utility vehicle is a versatile passenger vehicle that combines elements of on-road cars and off-road trucks, typically offering higher ground clearance, spacious interiors, and optional all-wheel or four-wheel drive for varied driving conditions.
-
D.
truck stop chain
A truck stop chain is a network of roadside service centers, typically located along major highways, that provide fuel, parking, food, rest facilities, and other amenities tailored to long-haul truck drivers and travelers.
-
E.
manufacturing company
chosen
A manufacturing company is an organization that transforms raw materials or components into finished goods through industrial processes, machinery, and labor for sale to other businesses or consumers.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
Created at: March 1, 2026, 7:38 p.m.