Triple
T38222090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dbx noise reduction |
E1012037
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | analog signal processing technology |
C11683
|
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: analog signal processing technology Context triple: [dbx noise reduction, instanceOf, analog signal processing technology]
-
A.
tool in signal processing
A tool in signal processing is a conceptual or physical mechanism—such as an algorithm, filter, transform, or software module—used to analyze, modify, or extract information from signals.
-
B.
analog noise reduction system
chosen
An analog noise reduction system is a hardware-based signal processing arrangement that minimizes unwanted noise in analog audio or electronic signals while preserving the integrity of the desired signal.
-
C.
analog integrated circuit
An analog integrated circuit is an electronic device that processes continuous-time, continuously variable signals using interconnected analog components such as amplifiers, resistors, capacitors, and transistors on a single semiconductor chip.
-
D.
audio technology
Audio technology encompasses the tools, devices, and processes used to capture, manipulate, transmit, and reproduce sound for communication, entertainment, and analysis.
-
E.
audio signal processing software
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.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.