Triple
T2773667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Near Infrared Imager and Slitless Spectrograph |
E61517
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | slitless spectrograph |
C8643
|
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: slitless spectrograph Context triple: [Near Infrared Imager and Slitless Spectrograph, instanceOf, slitless spectrograph]
-
A.
spectrograph
chosen
A spectrograph is an instrument that disperses incoming light or other electromagnetic radiation into its component wavelengths to record and analyze their spectrum.
-
B.
spectrograph
A spectrograph is an instrument that disperses incoming light or other electromagnetic radiation into its component wavelengths to produce a spectrum for analysis.
-
C.
optical echellette spectrograph
An optical echellette spectrograph is a medium- to high-resolution astronomical instrument that disperses incoming light into a cross-dispersed spectrum using an echelle grating operated at relatively low orders, enabling broad wavelength coverage in a compact format.
-
D.
astronomical spectrograph
An astronomical spectrograph is an instrument that disperses light from celestial objects into its component wavelengths to measure their physical properties, such as composition, temperature, velocity, and redshift.
-
E.
multi-object spectrograph
A multi-object spectrograph is an astronomical instrument that simultaneously records spectra from many celestial targets within a single field of view, using devices like masks, fibers, or microshutters to isolate individual objects.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
Created at: March 6, 2026, 9:57 p.m.