Triple
T31486477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5th-generation NVIDIA Decoder (NVDEC) |
E803289
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | NVIDIA NVDEC generation |
C45085
|
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: NVIDIA NVDEC generation Context triple: [5th-generation NVIDIA Decoder (NVDEC), instanceOf, NVIDIA NVDEC generation]
-
A.
NVIDIA technology
NVIDIA technology encompasses a range of advanced hardware and software solutions—most notably GPUs, AI platforms, and high-performance computing systems—designed to accelerate graphics, data processing, and machine learning workloads across industries.
-
B.
video co-processor
chosen
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.
-
C.
video codec
A video codec is a software or hardware system that compresses and decompresses digital video data to enable efficient storage, transmission, and playback.
-
D.
MPEG-4 AVC
MPEG-4 AVC (also known as H.264) is a video compression standard that efficiently encodes digital video for storage and transmission while maintaining high visual quality at relatively low bitrates.
-
E.
video coding level
A video coding level is a defined set of constraints within a video coding standard that specifies limits on parameters like resolution, bitrate, and processing complexity to ensure interoperability and consistent performance across devices.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 9:35 p.m.