Triple
T17105314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kramers–Heisenberg dispersion formula |
E415083
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | dispersion formula |
C1718
|
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: dispersion formula Context triple: [Kramers–Heisenberg dispersion formula, instanceOf, dispersion formula]
-
A.
optics formula
An optics formula is a mathematical expression that quantitatively relates optical quantities—such as object and image distances, focal length, refractive index, and wavelength—to describe the behavior of light in optical systems.
-
B.
Einstein coefficient
The Einstein coefficient is a parameter in quantum theory that quantifies the probability per unit time of spontaneous or stimulated emission or absorption of radiation by an atom or molecule transitioning between energy levels.
-
C.
mathematical formula
chosen
A mathematical formula is a concise symbolic expression that defines a relationship between quantities using numbers, variables, and mathematical operators.
-
D.
inelastic light scattering process
An inelastic light scattering process is an interaction in which incident photons exchange energy with a material’s excitations (such as phonons or magnons), resulting in scattered photons with shifted frequencies that reveal information about the material’s internal structure and dynamics.
-
E.
spectroscopic approximation
A spectroscopic approximation is a simplified theoretical or computational model used to estimate spectroscopic properties (such as energy levels, transition frequencies, or intensities) by neglecting or approximating certain physical effects to make calculations tractable.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
Created at: April 10, 2026, 5:35 a.m.