RSMC Beijing
E224868
Regional Specialized Meteorological Centre
World Meteorological Organization regional center
meteorological organization
RSMC Beijing is a World Meteorological Organization-designated regional center in China that provides specialized meteorological forecasting and warning services, particularly for severe weather and environmental hazards, to countries in its area of responsibility.
All labels observed (2)
| Label | Occurrences |
|---|---|
| China Meteorological Administration | 1 |
| RSMC Beijing canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1744619 — 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: RSMC Beijing Context triple: [Regional Specialized Meteorological Centres, hasMember, RSMC Beijing]
-
A.
RSMC Nadi
RSMC Nadi is a World Meteorological Organization-designated regional center in Fiji responsible for tropical cyclone forecasting and warnings in the South Pacific region.
-
B.
RSMC Honolulu
RSMC Honolulu is a World Meteorological Organization-designated center responsible for specialized tropical cyclone forecasting and related meteorological services in the Central Pacific region.
-
C.
RSMC Wellington
RSMC Wellington is a specialized meteorological center operated by New Zealand’s MetService that provides regional forecasting and warning services, particularly for severe weather and tropical cyclones in the South Pacific.
-
D.
RSMC Melbourne
RSMC Melbourne is a World Meteorological Organization-designated center in Australia that provides specialized meteorological services, particularly for tropical cyclone and severe weather monitoring and forecasting in its assigned region.
-
E.
RSMC Montreal
RSMC Montreal is a World Meteorological Organization-designated center in Canada that provides specialized meteorological services, particularly for environmental emergencies such as atmospheric transport and dispersion of pollutants.
- 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: RSMC Beijing Target entity description: RSMC Beijing is a World Meteorological Organization-designated regional center in China that provides specialized meteorological forecasting and warning services, particularly for severe weather and environmental hazards, to countries in its area of responsibility.
-
A.
RSMC Nadi
RSMC Nadi is a World Meteorological Organization-designated regional center in Fiji responsible for tropical cyclone forecasting and warnings in the South Pacific region.
-
B.
RSMC Honolulu
RSMC Honolulu is a World Meteorological Organization-designated center responsible for specialized tropical cyclone forecasting and related meteorological services in the Central Pacific region.
-
C.
RSMC Wellington
RSMC Wellington is a specialized meteorological center operated by New Zealand’s MetService that provides regional forecasting and warning services, particularly for severe weather and tropical cyclones in the South Pacific.
-
D.
RSMC Melbourne
RSMC Melbourne is a World Meteorological Organization-designated center in Australia that provides specialized meteorological services, particularly for tropical cyclone and severe weather monitoring and forecasting in its assigned region.
-
E.
RSMC Montreal
RSMC Montreal is a World Meteorological Organization-designated center in Canada that provides specialized meteorological services, particularly for environmental emergencies such as atmospheric transport and dispersion of pollutants.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
Regional Specialized Meteorological Centre
ⓘ
World Meteorological Organization regional center ⓘ meteorological organization ⓘ |
| affiliation | World Meteorological Organization ⓘ |
| areaOfResponsibility |
countries in the WMO Regional Association II
ⓘ
designated WMO regional area ⓘ parts of Asia ⓘ |
| coordinationWith |
WMO Global Data-processing and Forecasting System
ⓘ
other WMO Regional Specialized Meteorological Centres ⓘ |
| country | China ⓘ |
| dataType |
numerical weather prediction products
ⓘ
satellite-based meteorological information ⓘ surface and upper-air observations ⓘ |
| field |
climate services
ⓘ
environmental hazard monitoring ⓘ meteorology ⓘ weather forecasting ⓘ |
| function |
issue severe weather warnings
ⓘ
issue specialized meteorological forecasts ⓘ provide guidance products to national meteorological services ⓘ support disaster risk reduction ⓘ |
| language |
Chinese
ⓘ
English ⓘ |
| locatedIn | Beijing ⓘ |
| mandateFrom | World Meteorological Organization ⓘ |
| objective |
enhance capacity of member countries in forecasting and warnings
ⓘ
improve early warning of severe weather ⓘ support regional cooperation in meteorology ⓘ |
| operatedBy | China Meteorological Administration ⓘ |
| operator | China Meteorological Administration ⓘ |
| parentOrganization | China Meteorological Administration ⓘ |
| role |
provider of environmental hazard warning services
ⓘ
provider of severe weather forecasting services ⓘ regional center for specialized meteorological services ⓘ |
| serviceType |
regional forecasting center
ⓘ
warning coordination center ⓘ |
| standardFollowed | WMO technical regulations ⓘ |
| status | operational ⓘ |
| targetUsers |
National Meteorological and Hydrological Services
ⓘ
disaster management authorities ⓘ governments in its area of responsibility ⓘ |
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: RSMC Beijing Description of subject: RSMC Beijing is a World Meteorological Organization-designated regional center in China that provides specialized meteorological forecasting and warning services, particularly for severe weather and environmental hazards, to countries in its area of responsibility.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: RSMC Beijing