Triple
T6172942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indy NXT |
E137746
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | driver development series |
C20057
|
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: driver development series Context triple: [Indy NXT, instanceOf, driver development series]
-
A.
Linux kernel module
A Linux kernel module is a piece of code that can be dynamically loaded into or removed from the Linux kernel to extend or modify its functionality without requiring a system reboot.
-
B.
Windows API family
The Windows API family is a collection of programming interfaces provided by Microsoft that allow applications to interact with and utilize core Windows operating system services and resources.
-
C.
NVMe protocol extension
An NVMe protocol extension is an enhancement to the base NVMe specification that introduces additional commands, features, or capabilities to improve performance, functionality, or interoperability of NVMe-based storage systems.
-
D.
automotive computing platform
An automotive computing platform is an integrated hardware and software system within a vehicle that manages and coordinates functions such as infotainment, driver assistance, connectivity, and vehicle control in a secure and real-time manner.
-
E.
hardware accelerator integration
Hardware accelerator integration is the process of connecting and coordinating specialized processing units (such as GPUs, TPUs, or FPGAs) with a computing system’s hardware and software stack to offload and speed up specific computational tasks.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
Created at: March 22, 2026, 4:18 p.m.