Triple
T38698053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadcom BCM2763 |
E950058
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | mobile multimedia processor |
C15479
|
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: mobile multimedia processor Context triple: [Broadcom BCM2763, instanceOf, mobile multimedia processor]
-
A.
video co-processor
A video co-processor is a specialized hardware component that offloads and accelerates video-related tasks—such as decoding, encoding, rendering, and image processing—from the main CPU or GPU to improve performance and efficiency.
-
B.
multimedia framework
A multimedia framework is a software infrastructure that provides tools, libraries, and services for processing, managing, and synchronizing various media types such as audio, video, images, and interactive content.
-
C.
motion-processing technology
Motion-processing technology refers to systems and algorithms that detect, analyze, and interpret movement from sensors or visual input to enable responsive digital or mechanical actions.
-
D.
system-on-chip
chosen
A system-on-chip is an integrated circuit that combines a complete electronic system’s core components—such as processor, memory, input/output interfaces, and specialized accelerators—onto a single chip.
-
E.
microprocessor feature
A microprocessor feature is a specific capability or characteristic of a microprocessor—such as instruction sets, cache size, power management, or parallelism—that defines its performance, functionality, and suitability for particular applications.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:33 p.m.