Triple
T32043992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milne–Eddington approximation |
E818289
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | radiative transfer model |
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 model Context triple: [Milne–Eddington approximation, instanceOf, radiative transfer model]
-
A.
radiative transfer method
chosen
A radiative transfer method is a computational or analytical approach used to model the propagation, absorption, emission, and scattering of radiation through a medium.
-
B.
radiative–convective model
A radiative–convective model is a simplified atmospheric model that balances radiative energy transfer with convective heat transport to simulate vertical temperature profiles and climate behavior.
-
C.
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.
-
D.
astrophysical model
An astrophysical model is a theoretical or computational framework that describes and predicts the physical processes, structures, and evolution of astronomical objects and phenomena in the universe.
-
E.
radiation mechanism
A radiation mechanism is a conceptual class that describes the physical process or interaction by which energy is emitted, transferred, or transformed into electromagnetic or particle radiation.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:19 a.m.