Triple
T2462618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Pro |
E54566
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | commercial vehicle division |
C5583
|
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: commercial vehicle division Context triple: [Ford Pro, instanceOf, commercial vehicle division]
-
A.
commercial vehicle brand
chosen
A commercial vehicle brand is a company or trademark that designs, manufactures, and markets vehicles primarily intended for business use, such as transporting goods, passengers, or providing specialized services.
-
B.
automobile factory
An automobile factory is a large-scale industrial facility where raw materials and components are systematically assembled, tested, and finished into complete motor vehicles using coordinated machinery, labor, and production processes.
-
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.
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.
-
E.
automotive factory
An automotive factory is a large-scale industrial facility where vehicles and their components are systematically designed, manufactured, assembled, and tested using specialized machinery, robotics, and human labor.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
Created at: March 6, 2026, 9:44 p.m.