Triple
T13526112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TNGA-K |
E323019
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | mid-size and large vehicle platform |
C10283
|
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: mid-size and large vehicle platform Context triple: [TNGA-K, instanceOf, mid-size and large vehicle platform]
-
A.
luxury midsize SUV
A luxury midsize SUV is a premium sport utility vehicle that combines upscale materials, advanced technology, and refined performance with spacious seating and versatile cargo capacity in a mid-sized footprint.
-
B.
mid-size executive car
A mid-size executive car is a premium, comfortably appointed sedan or estate offering higher levels of refinement, performance, and features than mainstream family cars, aimed at professional and business users.
-
C.
midsize sedan
A midsize sedan is a four-door passenger car that offers moderate interior space, comfort, and fuel efficiency, positioned between compact and full-size sedans in size and price.
-
D.
mid-size sedan variant
A mid-size sedan variant is a specific configuration of a standard mid-size sedan model that differs in features, performance, or styling to target particular customer preferences or market segments.
-
E.
automotive platform
chosen
An automotive platform is a shared, standardized set of structural, mechanical, and electronic components that underpins multiple vehicle models to streamline development, reduce costs, and enable design flexibility.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
Created at: April 9, 2026, 9:44 p.m.