Triple
T7723764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thermal noise and Johnson–Nyquist noise theory |
E175077
|
entity |
| Predicate | noiseSpectralDensityFormula |
P48586
|
FINISHED |
| Object | S_V(f) = 4 k_B T R |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: S_V(f) = 4 k_B T R | Statement: [Thermal noise and Johnson–Nyquist noise theory, noiseSpectralDensityFormula, S_V(f) = 4 k_B T R]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noiseSpectralDensityFormula Context triple: [Thermal noise and Johnson–Nyquist noise theory, noiseSpectralDensityFormula, S_V(f) = 4 k_B T R]
-
A.
spectralProperty
chosen
Indicates a relationship where an entity possesses or is characterized by a specific spectral feature, measurement, or behavior (e.g., in its frequency, wavelength, or energy spectrum).
-
B.
spectralResolution
Indicates the fineness with which a system can distinguish or separate different wavelengths or frequencies within a spectrum.
-
C.
hasNoiseTerm
Indicates that a given expression, model, or equation includes an additional noise term representing random or unexplained variation.
-
D.
numericalValueOfTransitionFrequency
Indicates the numerical value assigned to the frequency at which a specific transition or change between states occurs.
-
E.
reverberationTimeFormulaVariable
Indicates the variable used in a formula to represent the reverberation time in an acoustic environment.
- F. None of above.
Provenance (3 batches)
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. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:05 p.m.