Triple
T9756659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feautrier method |
E236569
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | radiative transfer method |
C27227
|
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: radiative transfer method Context triple: [Feautrier method, instanceOf, radiative transfer method]
-
A.
radiative transition coefficient
The radiative transition coefficient is a parameter that quantifies the probability per unit time that an excited quantum state will spontaneously emit radiation and transition to a lower energy state.
-
B.
radial velocity measurement method
A radial velocity measurement method is a technique used to determine the component of an object's velocity along the line of sight, typically by analyzing Doppler shifts in its spectral lines.
-
C.
radiometer
A radiometer is an instrument that measures the intensity or power of electromagnetic radiation, typically in the infrared, visible, or microwave regions of the spectrum.
-
D.
law of black-body radiation
The law of black-body radiation describes how an idealized object emits electromagnetic radiation with an intensity and spectrum that depend solely on its temperature, as quantified by Planck’s radiation formula.
-
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. 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
Created at: March 30, 2026, 8:24 p.m.