Triple
T28902092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SoundAnalysis framework |
E732974
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | audio analysis framework |
C48121
|
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: audio analysis framework Context triple: [SoundAnalysis framework, instanceOf, audio analysis framework]
-
A.
audio signal processing software
chosen
Audio signal processing software is a class of applications that analyze, modify, and generate audio signals through digital algorithms for tasks such as filtering, enhancement, synthesis, and effects processing.
-
B.
audio coding tool
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.
audio programming environment
An audio programming environment is a software platform that provides tools, languages, and interfaces for creating, processing, and manipulating sound through programmable structures and real-time audio workflows.
-
D.
audio middleware
Audio middleware is a software layer that sits between a game or application and the audio hardware/engine, providing tools and runtime systems to manage, process, and integrate sound and music without requiring low-level audio programming.
-
E.
psychoacoustic model
A psychoacoustic model is a conceptual framework that predicts how humans perceive sound by simulating auditory system characteristics such as masking, loudness, and frequency resolution.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
Created at: April 28, 2026, 8:04 a.m.