Triple
T30435067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet C5500 |
E774287
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | medium-duty truck model |
C10114
|
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: medium-duty truck model Context triple: [Chevrolet C5500, instanceOf, medium-duty truck model]
-
A.
medium-duty truck
chosen
A medium-duty truck is a commercial vehicle designed to carry moderate payloads and perform tasks such as local delivery, utility work, and regional hauling, typically falling between light-duty pickups and heavy-duty trucks in size and capacity.
-
B.
midsize pickup truck
A midsize pickup truck is a medium-duty vehicle that balances passenger comfort and cargo/towing capability, offering more utility than compact trucks while being smaller and more maneuverable than full-size pickups.
-
C.
heavy-duty truck variant
A heavy-duty truck variant is a specialized configuration of a large commercial vehicle designed to handle high payloads, demanding operating conditions, or specific vocational tasks through tailored chassis, powertrain, and body features.
-
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.
compact pickup truck
A compact pickup truck is a smaller, lighter-duty truck designed for everyday driving that offers an open cargo bed and moderate towing and hauling capability in a more maneuverable, fuel-efficient package.
- 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_69f22492d2a88190995ce8745d9becaa |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:07 p.m.