Triple
T14984154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooley–Tukey Fast Fourier Transform algorithm |
E373658
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | signal processing algorithm |
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: signal processing algorithm Context triple: [Cooley–Tukey Fast Fourier Transform algorithm, instanceOf, signal processing algorithm]
-
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.
algorithm
An algorithm is a finite, well-defined sequence of computational steps or rules designed to solve a specific problem or perform a particular task.
-
C.
computer vision algorithm
A computer vision algorithm is a computational method that processes and interprets visual data from images or videos to automatically extract meaningful information or perform tasks such as detection, recognition, and segmentation.
-
D.
analog noise reduction system
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.
-
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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
Created at: April 10, 2026, 2:52 a.m.