Triple
T35560928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAT |
E1027633
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | coded-aperture mask telescope |
C63630
|
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: coded-aperture mask telescope Context triple: [BAT, instanceOf, coded-aperture mask telescope]
-
A.
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.
-
B.
speckle imaging camera
A speckle imaging camera is a specialized high-speed imaging device that captures many short-exposure frames to reconstruct high-resolution images by analyzing and processing speckle patterns caused by atmospheric or medium-induced distortions.
-
C.
extreme adaptive optics system
An extreme adaptive optics system is an advanced optical setup that uses high-speed, high-order wavefront correction to nearly eliminate atmospheric distortions, enabling diffraction-limited imaging of very faint or closely spaced astronomical targets.
-
D.
optical telescope
An optical telescope is an instrument that gathers and focuses visible light to produce magnified images of distant objects for observation and study.
-
E.
telescope optical design
Telescope optical design is the conceptual and technical process of arranging and specifying optical elements (such as mirrors, lenses, and correctors) to form, correct, and optimize images for a telescope’s intended performance and application.
- F. None of above. chosen
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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.