Triple
T7150327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyquist theorem |
E166675
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | sampling theorem |
C15691
|
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: sampling theorem Context triple: [Nyquist theorem, instanceOf, sampling theorem]
-
A.
tool in signal processing
chosen
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.
heterodyne receiver
A heterodyne receiver is a radio receiver that converts an incoming signal to an intermediate frequency by mixing it with a locally generated oscillator signal to enable easier and more selective amplification and filtering.
-
C.
quantization scheme
A quantization scheme is a defined method for mapping continuous or high-precision numerical values to a discrete set of levels, typically to reduce storage, computation, or transmission requirements while controlling approximation error.
-
D.
scatter band
A scatter band is a visual representation on a chart that shows the range and distribution of data points around a central trend, typically using shaded regions or boundaries to indicate variability or uncertainty.
-
E.
signal source
A signal source is an entity or device that generates and provides a defined signal (such as electrical, optical, or acoustic) for transmission, measurement, or processing in a system.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
Created at: March 27, 2026, 2:46 p.m.