Triple
T6327319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vehicle Navigation Systems |
E141892
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Automotive technology |
C20323
|
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 technology Context triple: [Vehicle Navigation Systems, instanceOf, Automotive technology]
-
A.
drivetrain technology
Drivetrain technology encompasses the systems and components that transmit power from a vehicle’s engine or motor to its wheels, optimizing efficiency, performance, and control.
-
B.
hybrid powertrain technology
Hybrid powertrain technology integrates an internal combustion engine with one or more electric motors and a battery system to optimize fuel efficiency, reduce emissions, and enhance vehicle performance through intelligent power management.
-
C.
autonomous driving technology
Autonomous driving technology encompasses the hardware, software, and algorithms that enable vehicles to perceive their environment, make driving decisions, and control motion with minimal or no human intervention.
-
D.
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.
-
E.
automotive software company
A company that designs, develops, and maintains software solutions specifically for vehicles and the automotive industry, such as embedded systems, driver assistance, connectivity, and fleet management platforms.
- F. None of above. chosen
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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
Created at: March 22, 2026, 4:29 p.m.