RSMC Exeter
E219920
RSMC Exeter is a specialized World Meteorological Organization center based in Exeter, UK, responsible for providing expert meteorological services and guidance, particularly for high-impact weather events.
All labels observed (1)
| Label | Occurrences |
|---|---|
| RSMC Exeter canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1744617 — 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 Exeter Context triple: [Regional Specialized Meteorological Centres, hasMember, RSMC Exeter]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
RSMC La Réunion
RSMC La Réunion is a World Meteorological Organization-designated center responsible for monitoring and forecasting tropical cyclones in the southwest Indian Ocean.
- 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 Exeter Target entity description: RSMC Exeter is a specialized World Meteorological Organization center based in Exeter, UK, responsible for providing expert meteorological services and guidance, particularly for high-impact weather events.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
RSMC La Réunion
RSMC La Réunion is a World Meteorological Organization-designated center responsible for monitoring and forecasting tropical cyclones in the southwest Indian Ocean.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
Regional Specialized Meteorological Centre
ⓘ
meteorological centre ⓘ |
| affiliation | World Meteorological Organization ⓘ |
| areaOfExpertise |
heavy precipitation events
ⓘ
mid-latitude weather systems ⓘ severe storm prediction ⓘ windstorm forecasting ⓘ |
| basedAt |
Met Office
ⓘ
surface form:
Met Office headquarters, Exeter
|
| city | Exeter ⓘ |
| collaboratesWith |
national meteorological and hydrological services
ⓘ
other WMO Regional Specialized Meteorological Centres ⓘ |
| coordinates | approximately 50.72°N 3.48°W ⓘ |
| country | United Kingdom ⓘ |
| dataFormat | WMO standard data formats ⓘ |
| dataSource |
global observing system
ⓘ
satellite observations ⓘ surface and upper-air observations ⓘ |
| focus |
early warning support for hazardous weather
ⓘ
operational weather forecasting ⓘ |
| governingBody | World Meteorological Organization ⓘ |
| language | English ⓘ |
| locatedIn |
England
ⓘ
Exeter ⓘ United Kingdom ⓘ |
| mandateFrom | World Meteorological Organization ⓘ |
| networkMembership |
World Weather Watch
ⓘ
surface form:
WMO World Weather Watch
|
| operatedBy |
Met Office
ⓘ
surface form:
UK Met Office
|
| partOf |
Regional Specialized Meteorological Centres
ⓘ
surface form:
World Meteorological Organization regional specialized meteorological centre network
|
| primaryRole |
guidance for high-impact weather events
ⓘ
provision of expert meteorological services ⓘ |
| provides |
forecast support for severe weather
ⓘ
meteorological guidance products ⓘ specialized numerical model output ⓘ |
| providesTo |
disaster risk management agencies
ⓘ
national meteorological services ⓘ |
| purpose | support to WMO member countries for high-impact weather ⓘ |
| regionServed | WMO member states ⓘ |
| sector | meteorology ⓘ |
| specialization |
high-impact weather forecasting
ⓘ
numerical weather prediction guidance ⓘ |
| standardFollowed | WMO technical regulations ⓘ |
| supports | multi-hazard early warning systems ⓘ |
| technology | high-performance computing for weather prediction ⓘ |
| typeOfOrganization | intergovernmental technical centre ⓘ |
| uses |
ensemble prediction systems
ⓘ
global numerical weather prediction 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.
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 Exeter Description of subject: RSMC Exeter is a specialized World Meteorological Organization center based in Exeter, UK, responsible for providing expert meteorological services and guidance, particularly for high-impact weather events.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.