Meteosat Second Generation
E729840
Meteosat Second Generation is a series of advanced European geostationary weather satellites that provide high-resolution imagery and data for meteorological monitoring and forecasting.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Meteosat Second Generation canonical | 2 |
| Meteosat-10 | 1 |
| Meteosat-11 | 1 |
| Meteosat-9 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8378729 — 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: Meteosat Second Generation Context triple: [European Organisation for the Exploitation of Meteorological Satellites, hasProgramme, Meteosat Second Generation]
-
A.
European Organisation for the Exploitation of Meteorological Satellites
The European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) is an intergovernmental organization that develops, launches, and operates meteorological satellites to provide weather and climate data to its member states and international partners.
-
B.
Aqua satellite
Aqua is a NASA Earth observation satellite focused on studying the planet’s water cycle, including oceans, atmosphere, and ice.
-
C.
Arconsat
Arconsat is a small rural commune in central France, located in the Puy-de-Dôme department of the Auvergne-Rhône-Alpes region.
-
D.
SCISAT-1
SCISAT-1 is a Canadian scientific satellite dedicated primarily to studying Earth's upper atmosphere and monitoring ozone layer chemistry and related trace gases.
-
E.
Geostationary Operational Environmental Satellite program
The Geostationary Operational Environmental Satellite (GOES) program is a series of U.S. weather satellites in geostationary orbit that provide continuous monitoring of atmospheric, oceanic, and environmental conditions for forecasting and research.
- 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: Meteosat Second Generation Target entity description: Meteosat Second Generation is a series of advanced European geostationary weather satellites that provide high-resolution imagery and data for meteorological monitoring and forecasting.
-
A.
European Organisation for the Exploitation of Meteorological Satellites
The European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) is an intergovernmental organization that develops, launches, and operates meteorological satellites to provide weather and climate data to its member states and international partners.
-
B.
Aqua satellite
Aqua is a NASA Earth observation satellite focused on studying the planet’s water cycle, including oceans, atmosphere, and ice.
-
C.
Arconsat
Arconsat is a small rural commune in central France, located in the Puy-de-Dôme department of the Auvergne-Rhône-Alpes region.
-
D.
SCISAT-1
SCISAT-1 is a Canadian scientific satellite dedicated primarily to studying Earth's upper atmosphere and monitoring ozone layer chemistry and related trace gases.
-
E.
Geostationary Operational Environmental Satellite program
The Geostationary Operational Environmental Satellite (GOES) program is a series of U.S. weather satellites in geostationary orbit that provide continuous monitoring of atmospheric, oceanic, and environmental conditions for forecasting and research.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
geostationary satellite series
ⓘ
meteorological satellite series ⓘ |
| consistsOf |
Meteosat-10
ⓘ
linked to:
Meteosat Second Generation
Meteosat-11 ⓘ
linked to:
Meteosat Second Generation
Meteosat-8 ⓘ
linked to:
Meteosat First Generation
Meteosat-9 ⓘ
linked to:
Meteosat Second Generation
|
| country | European Space Agency member states ⓘ |
| coverageArea |
Africa
ⓘ
Atlantic Ocean ⓘ Europe ⓘ parts of the Indian Ocean ⓘ |
| dataDisseminationSystem | EUMETCast ⓘ |
| dataDownlinkBand |
C-band
ⓘ
L-band ⓘ |
| dataUsers |
aviation meteorology
ⓘ
climate research community ⓘ marine meteorology ⓘ national meteorological services ⓘ |
| designedLifetimePerSatellite | 7 years ⓘ |
| firstSatelliteLaunchDate | 2002 ⓘ |
| followedBy | Meteosat Third Generation ⓘ |
| hasInstrument |
GERB
ⓘ
SEVIRI ⓘ Search and Rescue transponder ⓘ |
| imageRepeatCycle | 15 minutes ⓘ |
| launchVehicle |
Ariane 4
ⓘ
Ariane 5 ⓘ |
| operator | EUMETSAT ⓘ |
| orbitType | geostationary orbit ⓘ |
| precededBy | Meteosat First Generation ⓘ |
| primaryMission |
climate monitoring
ⓘ
environmental monitoring ⓘ meteorological forecasting support ⓘ weather monitoring ⓘ |
| provides |
high-resolution imagery
ⓘ
multispectral data ⓘ rapid-scan observations ⓘ |
| rapidScanCycle | 5 minutes ⓘ |
| spectralChannels | 12 ⓘ |
| supports |
atmospheric motion vector derivation
ⓘ
cloud-top temperature estimation ⓘ fire detection ⓘ fog detection ⓘ nowcasting ⓘ numerical weather prediction ⓘ radiation budget studies ⓘ severe weather monitoring ⓘ volcanic ash monitoring ⓘ |
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: Meteosat Second Generation Description of subject: Meteosat Second Generation is a series of advanced European geostationary weather satellites that provide high-resolution imagery and data for meteorological monitoring and forecasting.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
European Organisation for the Exploitation of Meteorological Satellites
→
hasProgramme
→
Meteosat Second Generation
ⓘ
linked to: Meteosat Second Generation
linked to: Meteosat Second Generation
linked to: Meteosat Second Generation