Global Data-processing Centres
E191656
Global Data-processing Centres are specialized facilities that collect, process, and distribute meteorological and related environmental data on a worldwide scale to support forecasting, research, and climate services.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Global Data-processing Centres canonical | 1 |
| Global Information System Centres | 1 |
| Global Producing Centres | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1701284 — 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 Centres Context triple: [GDPFS, hasComponent, Global Data-processing Centres]
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A.
Regional Data-processing Centres
Regional Data-processing Centres are specialized facilities within the Global Data-processing and Forecasting System that collect, process, and analyze regional meteorological and related data to support weather forecasting and climate services.
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B.
GAW World Data Centres
GAW World Data Centres are specialized international facilities that collect, manage, and distribute atmospheric and environmental data to support the scientific and monitoring activities of the Global Atmosphere Watch program.
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C.
Strategic Computing Initiative
The Strategic Computing Initiative was a major 1980s U.S. defense research program aimed at advancing artificial intelligence, machine vision, and high-performance computing for military applications.
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D.
Equinix data centers
Equinix data centers are globally distributed, carrier-neutral colocation and interconnection facilities that host critical IT infrastructure for enterprises, cloud providers, and network operators.
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E.
Center for Information Technology
The Center for Information Technology is the National Institutes of Health’s central organization responsible for providing advanced computing, networking, and information technology services to support biomedical research and administration.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Global Data-processing Centres Target entity description: Global Data-processing Centres are specialized facilities that collect, process, and distribute meteorological and related environmental data on a worldwide scale to support forecasting, research, and climate services.
-
A.
Regional Data-processing Centres
Regional Data-processing Centres are specialized facilities within the Global Data-processing and Forecasting System that collect, process, and analyze regional meteorological and related data to support weather forecasting and climate services.
-
B.
GAW World Data Centres
GAW World Data Centres are specialized international facilities that collect, manage, and distribute atmospheric and environmental data to support the scientific and monitoring activities of the Global Atmosphere Watch program.
-
C.
Strategic Computing Initiative
The Strategic Computing Initiative was a major 1980s U.S. defense research program aimed at advancing artificial intelligence, machine vision, and high-performance computing for military applications.
-
D.
Equinix data centers
Equinix data centers are globally distributed, carrier-neutral colocation and interconnection facilities that host critical IT infrastructure for enterprises, cloud providers, and network operators.
-
E.
Center for Information Technology
The Center for Information Technology is the National Institutes of Health’s central organization responsible for providing advanced computing, networking, and information technology services to support biomedical research and administration.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
component of World Weather Watch
ⓘ
global environmental data centre ⓘ meteorological data-processing facility ⓘ |
| benefits |
aviation and maritime sectors
ⓘ
climate research institutions ⓘ disaster risk reduction agencies ⓘ energy and agriculture sectors ⓘ national meteorological and hydrological services ⓘ |
| cooperatesWith |
Global Producing Centres for Long-Range Forecasts
ⓘ
Global Telecommunication System ⓘ
surface form:
Global Telecommunication System centres
Regional Specialized Meteorological Centres ⓘ |
| handlesDataType |
climate data records
ⓘ
marine meteorological data ⓘ numerical weather prediction products ⓘ satellite meteorological data ⓘ surface meteorological observations ⓘ upper-air meteorological observations ⓘ |
| hasFunction |
distribution of model output to users
ⓘ
generation of global meteorological fields ⓘ integration of data from multiple observing systems ⓘ |
| hasPurpose |
collection of meteorological data
ⓘ
distribution of meteorological data ⓘ processing of meteorological data ⓘ support of climate services ⓘ support of environmental research ⓘ support of weather forecasting ⓘ |
| hasScope | global ⓘ |
| monitors |
global atmospheric conditions
ⓘ
global climate variability ⓘ |
| operatedBy | World Meteorological Organization Member States ⓘ |
| partOf |
WMO Information System
ⓘ
surface form:
World Meteorological Organization information system
Global Data-processing and Forecasting System ⓘ
surface form:
World Weather Watch Global Data-processing and Forecasting System
|
| providesService |
archival of meteorological data
ⓘ
data access for National Meteorological and Hydrological Services ⓘ quality control of meteorological data ⓘ real-time data dissemination ⓘ |
| regulatedBy | World Meteorological Organization technical regulations ⓘ |
| supportsActivity |
climate change assessment
ⓘ
climate monitoring ⓘ environmental emergency response ⓘ numerical weather prediction ⓘ research on weather and climate ⓘ |
| usesInfrastructure |
high-performance computing systems
ⓘ
high-speed communication networks ⓘ large-capacity data storage systems ⓘ |
| usesStandard |
WMO data representation standards
ⓘ
WMO information system standards ⓘ |
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 Centres Description of subject: Global Data-processing Centres are specialized facilities that collect, process, and distribute meteorological and related environmental data on a worldwide scale to support forecasting, research, and climate services.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.