Triple
T32141693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sérsic index |
E820922
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | galaxy structural parameter |
C26275
|
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: galaxy structural parameter Context triple: [Sérsic index, instanceOf, galaxy structural parameter]
-
A.
galactic structure model
chosen
A galactic structure model is a conceptual representation that describes the spatial distribution, dynamics, and interactions of stars, gas, dark matter, and other components within a galaxy.
-
B.
galactic scaling relation
A galactic scaling relation is an empirical correlation between fundamental properties of galaxies (such as mass, luminosity, size, or rotation speed) that reveals underlying physical connections in their formation and evolution.
-
C.
cosmic structure
A cosmic structure is a large-scale organization of matter in the universe—such as galaxies, clusters, and filaments—formed by gravity shaping the distribution of dark matter, gas, stars, and other cosmic components over vast distances.
-
D.
flattened galaxy distribution
A flattened galaxy distribution is a large-scale arrangement of galaxies in which their positions preferentially lie within a thin, disk-like or planar structure rather than being spread uniformly in all directions.
-
E.
galactic dynamics method
A galactic dynamics method is a computational or analytical technique used to model and predict the gravitational interactions, motions, and structural evolution of stars, gas, and dark matter within galaxies.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:30 a.m.