Triple
T14160356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ledoux criterion |
E350920
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | convective instability criterion |
C12601
|
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: convective instability criterion Context triple: [Ledoux criterion, instanceOf, convective instability criterion]
-
A.
astrophysical stability criterion
chosen
An astrophysical stability criterion is a theoretical condition or set of conditions used to determine whether an astronomical system (such as a star, disk, or gas cloud) will remain in equilibrium or undergo collapse, fragmentation, or other dynamical instabilities.
-
B.
rotational instability in stars
Rotational instability in stars is a dynamical condition where differential rotation or excessive spin causes internal layers to become unstable, leading to mixing, angular momentum redistribution, and potentially large-scale structural changes or mass loss.
-
C.
astrophysical instability
An astrophysical instability is a physical process in which small perturbations in an astronomical system grow over time, potentially leading to dramatic structural or dynamical changes such as star formation, disk fragmentation, or explosive events.
-
D.
turbulence theory framework
A turbulence theory framework is a conceptual and mathematical structure that organizes the principles, models, and scaling laws used to describe, analyze, and predict turbulent fluid flows across different regimes and scales.
-
E.
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.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 10, 2026, 12:59 a.m.