Triple
T1531088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stark effect |
E32444
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | spectroscopic effect |
C8925
|
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 effect Context triple: [Stark effect, instanceOf, spectroscopic effect]
-
A.
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.
-
B.
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.
-
C.
astronomical spectrograph
An astronomical spectrograph is an instrument that disperses light from celestial objects into its component wavelengths to measure their physical properties, such as composition, temperature, velocity, and redshift.
-
D.
photon correlation effect
Photon correlation effect is the phenomenon where statistical correlations between detected photons reveal underlying properties of a light source, such as coherence, quantum statistics, and emission dynamics.
-
E.
optical echellette spectrograph
An optical echellette spectrograph is a medium- to high-resolution astronomical instrument that disperses incoming light into a cross-dispersed spectrum using an echelle grating operated at relatively low orders, enabling broad wavelength coverage in a compact format.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
Created at: March 4, 2026, 7:26 p.m.