Global Data-processing and Forecasting System
E5839
The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
All labels observed (7)
How this entity was disambiguated
This entity first appeared as the object of triple T61743 — 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.
Target entity: Global Data-processing and Forecasting System Context triple: [World Meteorological Organization, maintainsSystem, Global Data-processing and Forecasting System]
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A.
Integrated Ocean Observing System Program
The Integrated Ocean Observing System Program is a U.S. federal initiative that coordinates and supports nationwide coastal and ocean observing networks to provide real-time data for marine operations, environmental monitoring, and decision-making.
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B.
SAS
SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
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C.
Pleiades supercomputer
The Pleiades supercomputer is a high-performance computing system used by NASA for large-scale simulations and scientific research in fields such as aeronautics, space exploration, and climate modeling.
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D.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
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E.
Center for Global Change Science
The Center for Global Change Science is an MIT research center that advances understanding of the Earth’s climate system and global environmental change through interdisciplinary science and modeling.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Global Data-processing and Forecasting System Target entity description: The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
-
A.
Integrated Ocean Observing System Program
The Integrated Ocean Observing System Program is a U.S. federal initiative that coordinates and supports nationwide coastal and ocean observing networks to provide real-time data for marine operations, environmental monitoring, and decision-making.
-
B.
SAS
SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
-
C.
Pleiades supercomputer
The Pleiades supercomputer is a high-performance computing system used by NASA for large-scale simulations and scientific research in fields such as aeronautics, space exploration, and climate modeling.
-
D.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
-
E.
Center for Global Change Science
The Center for Global Change Science is an MIT research center that advances understanding of the Earth’s climate system and global environmental change through interdisciplinary science and modeling.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
data-processing and forecasting system
ⓘ
global observing system component ⓘ meteorological infrastructure ⓘ |
| coordinatedBy | WMO Commission for Weather, Climate, Water and Related Environmental Services and Applications ⓘ |
| dataType |
climate data
ⓘ
hydrological data ⓘ oceanographic data ⓘ weather data ⓘ |
| geographicScope | global ⓘ |
| goal |
enable timely early warnings
ⓘ
improve accuracy of weather forecasts ⓘ support climate adaptation planning ⓘ |
| hasAbbreviation | GDPFS ⓘ |
| hasComponent |
Global Data-processing and Forecasting System
self-linksurface differs
ⓘ
surface form:
Global Data-processing Centres
Global Producing Centres ⓘ Global Telecommunication System interfaces ⓘ National Meteorological and Hydrological Services ⓘ Regional Data-processing Centres ⓘ Regional Specialized Meteorological Centres ⓘ |
| hasFunction |
collecting meteorological data
ⓘ
distributing meteorological data ⓘ processing meteorological data ⓘ producing global forecasts ⓘ producing regional forecasts ⓘ |
| operatedBy | World Meteorological Organization ⓘ |
| partOf | World Weather Watch ⓘ |
| relatedTo |
Global Observing System
ⓘ
Global Telecommunication System ⓘ |
| serves |
WMO Members
ⓘ
climate services providers ⓘ disaster management agencies ⓘ national meteorological services ⓘ |
| supports |
aviation meteorological services
ⓘ
climate monitoring ⓘ disaster risk reduction ⓘ early warning services ⓘ global numerical weather prediction ⓘ hydrological forecasting ⓘ marine meteorological services ⓘ |
| supportsTimescale |
long-range forecasting
ⓘ
medium-range forecasting ⓘ nowcasting ⓘ seasonal prediction ⓘ short-range forecasting ⓘ |
| uses |
data assimilation techniques
ⓘ
in-situ observations ⓘ numerical weather prediction models ⓘ satellite observations ⓘ telecommunication networks ⓘ |
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.
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.
Subject: Global Data-processing and Forecasting System Description of subject: The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
Referenced by (19)
Full triples — surface form annotated when it differs from this entity's canonical label.