NIRI (Near-Infrared Imager and Spectrometer)
E397219
NIRI (Near-Infrared Imager and Spectrometer) is a near-infrared camera and spectrograph used on large telescopes to capture detailed images and spectra of astronomical objects at infrared wavelengths.
All labels observed (2)
| Label | Occurrences |
|---|---|
| NIRI (Near-Infrared Imager and Spectrometer) canonical | 1 |
| Near-Infrared Imager and Spectrometer | 1 |
Statements (39)
| Predicate | Object |
|---|---|
| instanceOf |
astronomical instrument
ⓘ
near-infrared imager and spectrometer ⓘ |
| abbreviation | NIRI ⓘ |
| associatedWith | adaptive optics on Gemini North ⓘ |
| capability |
imaging
ⓘ
spectroscopy ⓘ |
| enables |
high spatial resolution infrared imaging
ⓘ
medium-resolution infrared spectroscopy ⓘ |
| fullName |
NIRI (Near-Infrared Imager and Spectrometer)
self-linksurface differs
ⓘ
surface form:
Near-Infrared Imager and Spectrometer
|
| hasDetector | infrared array detector ⓘ |
| hasMode |
coronagraphic mode
ⓘ
imaging mode ⓘ spectroscopic mode ⓘ |
| mountedOn |
Gemini North Observatory
ⓘ
surface form:
Gemini North Telescope
|
| observatory | Gemini Observatory ⓘ |
| observesBand | near-infrared ⓘ |
| operationalStatus | in use on Gemini North (as of mid-2020s) ⓘ |
| scienceUse |
study of active galactic nuclei
ⓘ
study of brown dwarfs ⓘ study of exoplanetary systems ⓘ study of galaxies ⓘ study of solar system objects ⓘ study of star formation ⓘ |
| scientificDomain |
infrared astronomy
ⓘ
observational astrophysics ⓘ |
| spectralRegion |
H band
ⓘ
J band ⓘ K band ⓘ L band ⓘ M band ⓘ |
| telescopeAperture |
Gemini North Observatory
ⓘ
surface form:
8.1-metre Gemini North Telescope
|
| telescopeLocation |
Mauna Kea
ⓘ
surface form:
Maunakea, Hawaii
|
| usedFor |
astronomical imaging
ⓘ
astronomical spectroscopy ⓘ study of astronomical objects at infrared wavelengths ⓘ |
| usesTechnique |
broad-band imaging
ⓘ
long-slit spectroscopy ⓘ narrow-band imaging ⓘ |
| wavelengthRange | 1–5 micrometres ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: NIRI (Near-Infrared Imager and Spectrometer) Description of subject: NIRI (Near-Infrared Imager and Spectrometer) is a near-infrared camera and spectrograph used on large telescopes to capture detailed images and spectra of astronomical objects at infrared wavelengths.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
NIRI (Near-Infrared Imager and Spectrometer)
→
fullName
→
NIRI (Near-Infrared Imager and Spectrometer)
self-linksurface differs
ⓘ
subject surface form:
NIRI
this entity surface form:
Near-Infrared Imager and Spectrometer