Triple
T26378806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qualcomm AI Engine |
E660968
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | AI acceleration platform |
C8436
|
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: AI acceleration platform Context triple: [Qualcomm AI Engine, instanceOf, AI acceleration platform]
-
A.
GPU-accelerated application
A GPU-accelerated application is software that offloads compute-intensive tasks from the CPU to a graphics processing unit (GPU) to achieve significantly higher performance and parallel processing efficiency.
-
B.
analytics acceleration layer
An analytics acceleration layer is an intermediate software component that optimizes, caches, and streamlines data access and computation to deliver faster, more efficient analytical queries and insights across underlying data sources.
-
C.
hardware accelerator
chosen
A hardware accelerator is a specialized computing device or component designed to perform specific tasks or algorithms more efficiently and faster than a general-purpose processor.
-
D.
AI inference server
An AI inference server is a system that hosts trained machine learning models and processes incoming requests to generate predictions or responses in real time.
-
E.
GPU computing framework
A GPU computing framework is a software platform that enables developers to write, manage, and optimize parallel programs that execute on graphics processing units for high-performance computation.
- 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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 26, 2026, 11:03 p.m.