Triple
T25130818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rydberg formula |
E629517
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | spectroscopic formula |
C49765
|
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: spectroscopic formula Context triple: [Rydberg formula, instanceOf, spectroscopic formula]
-
A.
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.
-
B.
spectroscopic parameter
A spectroscopic parameter is a quantitative value that characterizes how a system interacts with electromagnetic radiation, such as frequencies, intensities, or line shapes observed in a spectrum.
-
C.
spectroscopic effect
A spectroscopic effect is any observable change or feature in a spectrum—such as shifts, splittings, intensity variations, or line broadenings—that arises from the interaction of electromagnetic radiation with matter and reveals information about a system’s structure, dynamics, or environment.
-
D.
spectral line series
A spectral line series is a set of discrete emission or absorption lines that occur at specific wavelengths corresponding to electron transitions between quantized energy levels in an atom or ion.
-
E.
atomic spectral line
An atomic spectral line is a discrete wavelength of light emitted or absorbed by an atom when its electrons transition between quantized energy levels.
- F. None of above. chosen
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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
Created at: April 18, 2026, 6:28 a.m.