RSMC Beijing (environmental emergency response)
E197602
RSMC Beijing (environmental emergency response) is a World Meteorological Organization-designated center in China that provides specialized meteorological support and forecasting for environmental emergencies such as atmospheric pollution and hazardous substance releases.
All labels observed (1)
| Label | Occurrences |
|---|---|
| RSMC Beijing (environmental emergency response) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1744624 — 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: RSMC Beijing (environmental emergency response) Context triple: [Regional Specialized Meteorological Centres, hasMember, RSMC Beijing (environmental emergency response)]
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A.
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.
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B.
Chinese Arctic and Antarctic Administration
The Chinese Arctic and Antarctic Administration is China’s governmental body responsible for organizing, managing, and overseeing the nation’s polar scientific research and expeditions.
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C.
National Meteorological Telecommunication Networks
National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
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D.
Japan Meteorological Agency
The Japan Meteorological Agency is Japan’s national authority responsible for weather forecasting, climate monitoring, earthquake and tsunami warnings, and related environmental observations.
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E.
Beihai
Beihai is a coastal city in China's Guangxi Zhuang Autonomous Region, known for its beaches, maritime trade, and the scenic Silver Beach tourist area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: RSMC Beijing (environmental emergency response) Target entity description: RSMC Beijing (environmental emergency response) is a World Meteorological Organization-designated center in China that provides specialized meteorological support and forecasting for environmental emergencies such as atmospheric pollution and hazardous substance releases.
-
A.
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.
-
B.
Chinese Arctic and Antarctic Administration
The Chinese Arctic and Antarctic Administration is China’s governmental body responsible for organizing, managing, and overseeing the nation’s polar scientific research and expeditions.
-
C.
National Meteorological Telecommunication Networks
National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
-
D.
Japan Meteorological Agency
The Japan Meteorological Agency is Japan’s national authority responsible for weather forecasting, climate monitoring, earthquake and tsunami warnings, and related environmental observations.
-
E.
Beihai
Beihai is a coastal city in China's Guangxi Zhuang Autonomous Region, known for its beaches, maritime trade, and the scenic Silver Beach tourist area.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
Regional Specialized Meteorological Centre
ⓘ
WMO-designated centre ⓘ |
| affiliatedWith | World Meteorological Organization ⓘ |
| cooperatesWith |
International Atomic Energy Agency
ⓘ
UN environmental emergency mechanisms ⓘ other WMO Regional Specialized Meteorological Centres ⓘ |
| country | China ⓘ |
| dataFormat | WMO standard data products ⓘ |
| focusesOn |
atmospheric pollution
ⓘ
hazardous substance dispersion in the atmosphere ⓘ |
| hasObjective |
to provide timely and reliable meteorological information for environmental emergencies
ⓘ
to support protection of life, property and the environment during hazardous releases ⓘ |
| hasRole |
environmental emergency response
ⓘ
specialized atmospheric transport modelling centre ⓘ |
| hasScope |
global support on request
ⓘ
regional ⓘ |
| languageOfOperation |
Chinese
ⓘ
English ⓘ |
| locatedIn | Beijing ⓘ |
| mandatedBy | World Meteorological Organization ⓘ |
| operatedBy |
National Meteorological and Hydrological Services
ⓘ
surface form:
China Meteorological Administration
|
| partOfProgramme | WMO Environmental Emergency Response Programme ⓘ |
| providesService |
atmospheric dispersion modelling
ⓘ
forecasting for atmospheric pollution events ⓘ forecasting for hazardous substance releases ⓘ specialized meteorological support for environmental emergencies ⓘ trajectory and dispersion forecasts for accidental releases ⓘ |
| providesServiceTo |
WMO Members
ⓘ
national meteorological and hydrological services ⓘ |
| sector |
environmental protection
ⓘ
meteorology ⓘ |
| supportsActivity |
chemical accident response
ⓘ
emergency response coordination for transboundary pollution ⓘ hazardous material transport incident response ⓘ nuclear and radiological emergency preparedness ⓘ |
| supportsFramework | international environmental emergency response mechanisms ⓘ |
| supportsPhase |
early warning
ⓘ
preparedness ⓘ response ⓘ |
| usesData |
meteorological observations
ⓘ
numerical weather prediction model output ⓘ |
| usesMethod | atmospheric transport and dispersion models ⓘ |
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: RSMC Beijing (environmental emergency response) Description of subject: RSMC Beijing (environmental emergency response) is a World Meteorological Organization-designated center in China that provides specialized meteorological support and forecasting for environmental emergencies such as atmospheric pollution and hazardous substance releases.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.