Triple
T30770940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota pickup trucks |
E783521
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | pickup truck family |
C3968
|
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 family Context triple: [Toyota pickup trucks, instanceOf, pickup truck family]
-
A.
pickup truck variant
A pickup truck variant is a specific configuration or model of a pickup truck that differs in features such as cab style, bed length, drivetrain, payload capacity, or trim level to suit particular use cases or customer preferences.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
pickup truck line
chosen
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.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:40 p.m.