COSMIC-1 constellation
E786120
The COSMIC-1 constellation was an early joint U.S.-Taiwan satellite mission that used GPS radio occultation to collect global atmospheric and ionospheric data for weather forecasting and climate research.
All labels observed (2)
| Label | Occurrences |
|---|---|
| COSMIC-1 constellation canonical | 1 |
| FORMOSAT-3 / COSMIC | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9232283 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COSMIC-1 constellation Context triple: [COSMIC-2 constellation satellites, predecessor, COSMIC-1 constellation]
-
A.
COSMIC-2 constellation satellites
The COSMIC-2 constellation satellites are a group of Earth-observing spacecraft designed primarily for advanced atmospheric and ionospheric profiling to improve global weather forecasting and space weather monitoring.
-
B.
ANIK C2 communications satellite
ANIK C2 is a Canadian commercial communications satellite used to provide telecommunications and broadcasting services.
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C.
Alouette satellites
The Alouette satellites were pioneering Canadian scientific spacecraft launched in the 1960s to study the ionosphere, marking Canada as one of the first nations to design and build its own satellite.
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D.
Satellite Constellation
A satellite constellation is a coordinated network of artificial satellites working together in specific orbits to provide continuous global or regional coverage for services such as navigation, communication, or Earth observation.
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E.
MICROSCOPE satellite mission
The MICROSCOPE satellite mission was a French-led space experiment designed to test the validity of Einstein’s equivalence principle with unprecedented precision by comparing the free fall of different materials in orbit.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: COSMIC-1 constellation Target entity description: The COSMIC-1 constellation was an early joint U.S.-Taiwan satellite mission that used GPS radio occultation to collect global atmospheric and ionospheric data for weather forecasting and climate research.
-
A.
COSMIC-2 constellation satellites
The COSMIC-2 constellation satellites are a group of Earth-observing spacecraft designed primarily for advanced atmospheric and ionospheric profiling to improve global weather forecasting and space weather monitoring.
-
B.
ANIK C2 communications satellite
ANIK C2 is a Canadian commercial communications satellite used to provide telecommunications and broadcasting services.
-
C.
Alouette satellites
The Alouette satellites were pioneering Canadian scientific spacecraft launched in the 1960s to study the ionosphere, marking Canada as one of the first nations to design and build its own satellite.
-
D.
Satellite Constellation
A satellite constellation is a coordinated network of artificial satellites working together in specific orbits to provide continuous global or regional coverage for services such as navigation, communication, or Earth observation.
-
E.
MICROSCOPE satellite mission
The MICROSCOPE satellite mission was a French-led space experiment designed to test the validity of Einstein’s equivalence principle with unprecedented precision by comparing the free fall of different materials in orbit.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Earth observation mission
ⓘ
joint space mission ⓘ remote sensing mission ⓘ satellite constellation ⓘ |
| alsoKnownAs |
FORMOSAT-3
ⓘ
linked to:
Formosat satellite series
FORMOSAT-3/COSMIC ⓘ
linked to:
Formosat satellite series
|
| application |
climate monitoring
ⓘ
ionospheric research ⓘ numerical weather prediction ⓘ operational weather forecasting ⓘ space weather monitoring ⓘ |
| countryOfCollaboration |
Taiwan
ⓘ
linked to:
Taiwan, Province of China
United States ⓘ
linked to:
United States of America
|
| dataPolicy | open data ⓘ |
| dataType |
atmospheric humidity profiles
ⓘ
atmospheric pressure profiles ⓘ atmospheric temperature profiles ⓘ electron density profiles ⓘ ionospheric profiles ⓘ |
| dataUser |
climate research community
ⓘ
global meteorological agencies ⓘ space weather community ⓘ |
| fundingAgency |
NSF
ⓘ
linked to:
National Science Foundation
National Science Foundation ⓘ Taiwan’s National Science and Technology Council ⓘ |
| launchDate | 2006-04-15 ⓘ |
| launchSite |
Vandenberg Air Force Base
ⓘ
linked to:
Vandenberg Space Force Base
Vandenberg Space Force Base ⓘ |
| launchVehicle |
Minotaur I
ⓘ
linked to:
Minotaur rocket family
|
| numberOfSatellites | 6 ⓘ |
| operator |
NSPO
ⓘ
Taiwan’s National Space Organization ⓘ
linked to:
Taiwanese National Space Organization
UCAR ⓘ United States Air Force ⓘ University Corporation for Atmospheric Research ⓘ |
| orbitAltitudeApprox | 800 km ⓘ |
| orbitInclination | 72 degrees ⓘ |
| orbitType | low Earth orbit ⓘ |
| primaryObjective |
collect global atmospheric data
ⓘ
collect global ionospheric data ⓘ improve weather forecasting ⓘ support climate research ⓘ support space weather research ⓘ |
| status | largely decommissioned ⓘ |
| successor |
COSMIC-2 constellation
ⓘ
linked to:
COSMIC-2 constellation satellites
FORMOSAT-7 ⓘ
linked to:
Formosat satellite series
|
| usesTechnique |
GPS radio occultation
ⓘ
radio occultation sounding ⓘ |
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: COSMIC-1 constellation Description of subject: The COSMIC-1 constellation was an early joint U.S.-Taiwan satellite mission that used GPS radio occultation to collect global atmospheric and ionospheric data for weather forecasting and climate research.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: COSMIC-1 constellation