Triple

T7723739
Position Surface form Disambiguated ID Type / Status
Subject Thermal noise and Johnson–Nyquist noise theory E175077 entity
Predicate instanceOf P0 FINISHED
Object noise theory C1600 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: noise theory
Context triple: [Thermal noise and Johnson–Nyquist noise theory, instanceOf, noise theory]
  • A. 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.
  • B. 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.
  • C. random process chosen
    A random process is a collection of random variables indexed by time or space that models the evolution of a system subject to inherent uncertainty.
  • D. sound
    Sound is a form of energy produced by vibrating objects that travels through a medium as pressure waves and can be perceived by hearing.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
Created at: March 27, 2026, 4:05 p.m.