Tropical Cyclone Warning Centers
E805451
Tropical Cyclone Warning Centers are specialized meteorological agencies around the world responsible for monitoring, forecasting, and issuing warnings about tropical cyclones in their designated regions.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tropical Cyclone Warning Centers canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9547292 — 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: Tropical Cyclone Warning Centers Context triple: [RSMC Washington, coordinatesWith, Tropical Cyclone Warning Centers]
-
A.
RSMC Miami
RSMC Miami is the Regional Specialized Meteorological Center operated by the U.S. National Hurricane Center, responsible for monitoring and forecasting tropical cyclones in the North Atlantic and eastern North Pacific Oceans.
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B.
Central Pacific Hurricane Center
The Central Pacific Hurricane Center is a U.S. meteorological agency responsible for monitoring, forecasting, and issuing warnings for tropical cyclones in the Central Pacific basin.
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C.
National Hurricane Center
The National Hurricane Center is a U.S. government agency that monitors, forecasts, and issues warnings for tropical cyclones in the Atlantic and eastern Pacific Oceans.
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D.
RSMC Washington
RSMC Washington is a World Meteorological Organization-designated center responsible for providing specialized meteorological analysis and forecasting, particularly for tropical cyclones in the Eastern Pacific and related regions.
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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: Tropical Cyclone Warning Centers Target entity description: Tropical Cyclone Warning Centers are specialized meteorological agencies around the world responsible for monitoring, forecasting, and issuing warnings about tropical cyclones in their designated regions.
-
A.
RSMC Miami
RSMC Miami is the Regional Specialized Meteorological Center operated by the U.S. National Hurricane Center, responsible for monitoring and forecasting tropical cyclones in the North Atlantic and eastern North Pacific Oceans.
-
B.
Central Pacific Hurricane Center
The Central Pacific Hurricane Center is a U.S. meteorological agency responsible for monitoring, forecasting, and issuing warnings for tropical cyclones in the Central Pacific basin.
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C.
National Hurricane Center
The National Hurricane Center is a U.S. government agency that monitors, forecasts, and issues warnings for tropical cyclones in the Atlantic and eastern Pacific Oceans.
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D.
RSMC Washington
RSMC Washington is a World Meteorological Organization-designated center responsible for providing specialized meteorological analysis and forecasting, particularly for tropical cyclones in the Eastern Pacific and related regions.
-
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 (50)
| Predicate | Object |
|---|---|
| instanceOf |
early warning system component
ⓘ
meteorological organization type ⓘ |
| aimsTo |
improve preparedness in coastal communities
ⓘ
reduce economic damage from tropical cyclones ⓘ reduce loss of life from tropical cyclones ⓘ |
| arePartOf | World Meteorological Organization Tropical Cyclone Programme NERFINISHED ⓘ |
| communicatesWith |
aviation authorities
ⓘ
disaster management agencies ⓘ general public ⓘ maritime authorities ⓘ national meteorological and hydrological services ⓘ |
| coordinateWith |
international humanitarian organizations
ⓘ
regional climate centers ⓘ research institutions ⓘ |
| hasSupervisingBody | World Meteorological Organization NERFINISHED ⓘ |
| hasType |
National Meteorological Service unit
ⓘ
Regional Specialized Meteorological Center NERFINISHED ⓘ Tropical Cyclone Warning Center NERFINISHED ⓘ |
| issuesProduct |
best track data
ⓘ
marine forecasts ⓘ storm surge guidance ⓘ track and intensity forecasts ⓘ tropical cyclone advisories ⓘ tropical cyclone warnings ⓘ tropical cyclone watches ⓘ |
| operateOn | 24-hour basis during cyclone season ⓘ |
| operatesInDomain |
early warning services
ⓘ
hydrometeorological hazards ⓘ meteorology ⓘ operational weather forecasting ⓘ |
| purpose |
forecast tropical cyclone intensity
ⓘ
forecast tropical cyclone tracks ⓘ issue tropical cyclone warnings ⓘ monitor tropical cyclones ⓘ support disaster risk reduction ⓘ |
| responsibleFor |
archiving tropical cyclone best track datasets
ⓘ
assigning tropical cyclone names in their basin ⓘ defining official tropical cyclone tracks ⓘ designating tropical cyclone intensity categories ⓘ |
| useLanguage | standardized WMO message formats ⓘ |
| usesDataFrom |
aircraft reconnaissance
ⓘ
geostationary weather satellites ⓘ numerical weather prediction models ⓘ ocean buoys ⓘ polar-orbiting weather satellites ⓘ radar networks ⓘ ship observations ⓘ |
| usesStandard |
Beaufort scale
NERFINISHED
ⓘ
Saffir–Simpson hurricane wind scale NERFINISHED ⓘ WMO tropical cyclone naming lists ⓘ |
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: Tropical Cyclone Warning Centers Description of subject: Tropical Cyclone Warning Centers are specialized meteorological agencies around the world responsible for monitoring, forecasting, and issuing warnings about tropical cyclones in their designated regions.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.