European Centre for Medium-Range Weather Forecasts
E339239
The European Centre for Medium-Range Weather Forecasts is an independent intergovernmental organization that provides global numerical weather predictions and climate data to support meteorological services and research worldwide.
All labels observed (2)
| Label | Occurrences |
|---|---|
| European Centre for Medium-Range Weather Forecasts canonical | 7 |
| ECMWF | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3251513 — 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: European Centre for Medium-Range Weather Forecasts Context triple: [Met Office, collaboratesWith, European Centre for Medium-Range Weather Forecasts]
-
A.
World Meteorological Centres
World Meteorological Centres are major global hubs designated by the World Meteorological Organization to provide high-quality weather analyses, forecasts, and related data services to support international meteorological operations.
-
B.
National Meteorological and Hydrological Services
National Meteorological and Hydrological Services are national agencies responsible for monitoring, forecasting, and providing information on weather, climate, and water resources to support public safety, economic activities, and environmental management.
-
C.
National Centers for Environmental Prediction
The National Centers for Environmental Prediction is a major U.S. government organization that provides national and global weather, climate, and environmental forecasts and analyses.
-
D.
Met Office
The Met Office is the United Kingdom's national meteorological service, responsible for weather forecasting, climate science, and related research.
-
E.
World Meteorological Organization
The World Meteorological Organization is a specialized UN agency that coordinates international cooperation on weather, climate, water resources, and related environmental issues.
- 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: European Centre for Medium-Range Weather Forecasts Target entity description: The European Centre for Medium-Range Weather Forecasts is an independent intergovernmental organization that provides global numerical weather predictions and climate data to support meteorological services and research worldwide.
-
A.
World Meteorological Centres
World Meteorological Centres are major global hubs designated by the World Meteorological Organization to provide high-quality weather analyses, forecasts, and related data services to support international meteorological operations.
-
B.
National Meteorological and Hydrological Services
National Meteorological and Hydrological Services are national agencies responsible for monitoring, forecasting, and providing information on weather, climate, and water resources to support public safety, economic activities, and environmental management.
-
C.
National Centers for Environmental Prediction
The National Centers for Environmental Prediction is a major U.S. government organization that provides national and global weather, climate, and environmental forecasts and analyses.
-
D.
Met Office
The Met Office is the United Kingdom's national meteorological service, responsible for weather forecasting, climate science, and related research.
-
E.
World Meteorological Organization
The World Meteorological Organization is a specialized UN agency that coordinates international cooperation on weather, climate, water resources, and related environmental issues.
- F. None of above. chosen
Statements (61)
| Predicate | Object |
|---|---|
| instanceOf |
intergovernmental organization
ⓘ
meteorological organization ⓘ research organization ⓘ |
| abbreviation | ECMWF ⓘ |
| areaServed | worldwide ⓘ |
| computingInfrastructure | high-performance computing facility ⓘ |
| country | United Kingdom ⓘ |
| fieldOfWork |
climate research
ⓘ
data assimilation ⓘ meteorology ⓘ numerical weather prediction ⓘ reanalysis ⓘ seasonal forecasting ⓘ |
| foundedBy | European nations ⓘ |
| hasCooperatingState |
Israel
ⓘ
Morocco ⓘ Serbia ⓘ Slovenia ⓘ Turkey ⓘ |
| hasMemberState |
Austria
ⓘ
Belgium ⓘ Croatia ⓘ Denmark ⓘ Finland ⓘ France ⓘ Germany ⓘ Greece ⓘ Ireland ⓘ Italy ⓘ Netherlands ⓘ Norway ⓘ Portugal ⓘ Spain ⓘ Sweden ⓘ Switzerland ⓘ United Kingdom ⓘ |
| headquartersLocation |
Bologna, Italy
ⓘ
linked to:
Bologna
Reading, Berkshire, United Kingdom ⓘ
linked to:
Reading, Berkshire, England
|
| inception | 1975 ⓘ |
| legalForm | intergovernmental organization ⓘ |
| memberCount | 35 ⓘ |
| operates |
Copernicus Atmosphere Data Store
ⓘ
Copernicus Climate Data Store ⓘ ECMWF Ensemble Prediction System ⓘ Integrated Forecasting System ⓘ |
| operatorOf |
Copernicus Atmosphere Monitoring Service
ⓘ
Copernicus Climate Change Service ⓘ |
| productOrService |
atmospheric composition forecasts
ⓘ
climate reanalysis datasets ⓘ ensemble forecasts ⓘ global numerical weather forecasts ⓘ medium-range weather forecasts ⓘ seasonal climate forecasts ⓘ |
| purpose |
to provide global medium-range weather forecasts
ⓘ
to support climate and weather research ⓘ to support national meteorological services ⓘ |
| uses |
data assimilation techniques
ⓘ
global observing system data ⓘ satellite observations ⓘ supercomputers ⓘ |
| website | https://www.ecmwf.int/ ⓘ |
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: European Centre for Medium-Range Weather Forecasts Description of subject: The European Centre for Medium-Range Weather Forecasts is an independent intergovernmental organization that provides global numerical weather predictions and climate data to support meteorological services and research worldwide.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.
Norwegian Meteorological Institute
→
cooperatesWith
→
European Centre for Medium-Range Weather Forecasts
ⓘ
European Organisation for the Exploitation of Meteorological Satellites
→
cooperatesWith
→
European Centre for Medium-Range Weather Forecasts
ⓘ
Department of Meteorology, University of Reading
→
collaboratesWith
→
European Centre for Medium-Range Weather Forecasts
ⓘ
subject linked to:
Department of Meteorology
linked to: European Centre for Medium-Range Weather Forecasts
Swiss Federal Office of Meteorology and Climatology MeteoSwiss
→
cooperatesWith
→
European Centre for Medium-Range Weather Forecasts
ⓘ
linked to: European Centre for Medium-Range Weather Forecasts
European meteorological services
→
cooperatesWith
→
European Centre for Medium-Range Weather Forecasts
ⓘ