Triple
T32062439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPEG-4 speech coding tools |
E818779
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | speech coding toolset |
C33264
|
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: speech coding toolset Context triple: [MPEG-4 speech coding tools, instanceOf, speech coding toolset]
-
A.
speech codec
A speech codec is a system that encodes and compresses spoken audio into a digital format for efficient transmission or storage and then decodes it back into intelligible speech.
-
B.
audio coding tool
chosen
An audio coding tool is a software or hardware component that compresses, encodes, and decodes digital audio signals to efficiently store, transmit, and reproduce sound with minimal loss of quality.
-
C.
wideband speech codec
A wideband speech codec is a digital encoding and decoding system that compresses and reconstructs speech signals over an extended frequency range (typically 50 Hz–7 kHz or higher) to improve clarity and naturalness compared to narrowband codecs.
-
D.
audio coding standard family
An audio coding standard family is a group of related specifications that define how digital audio is compressed, encoded, transmitted, and decoded to balance quality, bitrate, and compatibility across devices and applications.
-
E.
digital audio codec
A digital audio codec is a system or algorithm that encodes and compresses audio signals into a digital format for storage or transmission and decodes them back into audio for playback.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:22 a.m.