Triple
T13050977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddington standard model of stars |
E327446
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | radiative equilibrium model |
C26613
|
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 equilibrium model Context triple: [Eddington standard model of stars, instanceOf, radiative equilibrium model]
-
A.
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.
-
B.
one-dimensional climate model
chosen
A one-dimensional climate model is a simplified representation of the climate system that varies along a single spatial dimension (typically vertical or latitudinal) to study energy balance, temperature profiles, and basic climate processes.
-
C.
radiative transfer method
A radiative transfer method is a computational or analytical approach used to model the propagation, absorption, emission, and scattering of radiation through a medium.
-
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.
gravitational equilibrium point
A gravitational equilibrium point is a location in space where the gravitational forces and orbital motion of a small object balance so that it can remain in a stable or semi-stable position relative to larger bodies.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
Created at: April 9, 2026, 8:57 p.m.