Triple
T5628726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Condon approximation |
E147782
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | approximation in molecular spectroscopy |
C6725
|
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: approximation in molecular spectroscopy Context triple: [Condon approximation, instanceOf, approximation in molecular spectroscopy]
-
A.
spectroscopic approximation
chosen
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.
spectroscopy method
A spectroscopy method is a technique that measures the interaction between electromagnetic radiation and matter to determine the composition, structure, or properties of a sample.
-
C.
approximation
An approximation is a value, representation, or solution that is close to, but not exactly equal to, a true or ideal quantity, used when exactness is unnecessary or unattainable.
-
D.
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.
-
E.
molecular quantum mechanics method
A molecular quantum mechanics method is a theoretical and computational approach that applies quantum mechanical principles to describe and predict the electronic structure, properties, and behavior of molecules.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
Created at: March 22, 2026, 3:40 p.m.