Triple
T24396638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OnStar Safety & Security |
E615044
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automotive telematics service |
C23437
|
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 telematics service Context triple: [OnStar Safety & Security, instanceOf, automotive telematics service]
-
A.
automotive data access API
An automotive data access API is a software interface that enables secure, standardized retrieval and manipulation of vehicle-related data—such as diagnostics, telematics, and configuration—from cars and associated backend systems.
-
B.
vehicle companion app
A vehicle companion app is a mobile application that connects to a vehicle to provide real-time status, remote control features, trip information, and maintenance insights to the driver.
-
C.
Automotive technology
Automotive technology encompasses the design, development, operation, and maintenance of motor vehicles and their supporting systems, including engines, electronics, safety features, and emerging innovations like electric and autonomous driving.
-
D.
in-vehicle infotainment platform
An in-vehicle infotainment platform is an integrated hardware and software system that delivers multimedia, navigation, connectivity, and vehicle information services through the car’s user interfaces.
-
E.
telemetry service
chosen
A telemetry service is a system component that collects, transmits, stores, and analyzes operational and performance data from distributed applications or devices to enable monitoring, diagnostics, and optimization.
- 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:04 a.m.