Triple
T18730666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IDS interactive driving system |
E458025
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automotive chassis control system |
C33156
|
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: automotive chassis control system Context triple: [IDS interactive driving system, instanceOf, automotive chassis control system]
-
A.
automotive suspension system
An automotive suspension system is the integrated assembly of springs, dampers, linkages, and related components that connects a vehicle’s body to its wheels to control ride comfort, handling, and road shock isolation.
-
B.
automotive safety system
An automotive safety system is an integrated set of components and technologies designed to prevent accidents or reduce injury and damage when collisions occur.
-
C.
automotive all-wheel-drive system
An automotive all-wheel-drive system is a drivetrain configuration that automatically distributes engine power to all four wheels to enhance traction, stability, and handling across varying road and weather conditions.
-
D.
automotive architecture
chosen
Automotive architecture is the conceptual and structural design framework that defines how a vehicle’s key systems, components, and spatial layout are organized and integrated to meet performance, safety, and user experience goals.
-
E.
adaptive suspension system
An adaptive suspension system is a vehicle suspension technology that continuously adjusts damping and stiffness in real time based on driving conditions, road surface, and driver inputs to optimize comfort, handling, and stability.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 11:50 a.m.