Triple
T34266077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seidel aberrations |
E879170
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | optical aberration classification |
C51910
|
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: optical aberration classification Context triple: [Seidel aberrations, instanceOf, optical aberration classification]
-
A.
aberration-free condition
An aberration-free condition is an ideal optical state in which a system forms images without distortions or blurring from optical imperfections, so that all rays from a point object converge precisely to a single point in the image.
-
B.
optical system characteristic
chosen
An optical system characteristic is a property or parameter (such as focal length, numerical aperture, resolution, or aberration level) that quantitatively or qualitatively describes the performance and behavior of an optical system.
-
C.
optical system descriptor
An optical system descriptor is a structured representation that defines the components, configurations, and performance characteristics of an optical system for analysis, design, or simulation.
-
D.
optical configuration
An optical configuration is the specific arrangement and selection of optical elements and their parameters within a system that together determine how light is manipulated to achieve desired imaging or beam properties.
-
E.
multi-conjugate adaptive optics system
A multi-conjugate adaptive optics system is an optical correction setup that uses multiple deformable mirrors conjugated to different atmospheric layers to compensate for turbulence over a wider field of view than conventional adaptive optics.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:56 a.m.