RSMC Honolulu
E210486
RSMC Honolulu is a World Meteorological Organization-designated center responsible for specialized tropical cyclone forecasting and related meteorological services in the Central Pacific region.
All labels observed (1)
| Label | Occurrences |
|---|---|
| RSMC Honolulu canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1744614 — 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 Honolulu Context triple: [Regional Specialized Meteorological Centres, hasMember, RSMC Honolulu]
-
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
RSMC stands for Regional Specialized Meteorological Centres, which are World Meteorological Organization-designated centers that provide specialized weather and climate services, including forecasting and warnings, for specific regions.
-
C.
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.
-
D.
RSMC New Delhi
RSMC New Delhi is a World Meteorological Organization-designated regional center in India responsible for specialized weather forecasting and tropical cyclone monitoring over parts of the Indian Ocean region.
-
E.
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.
- 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 Honolulu Target entity description: RSMC Honolulu is a World Meteorological Organization-designated center responsible for specialized tropical cyclone forecasting and related meteorological services in the Central Pacific region.
-
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
RSMC stands for Regional Specialized Meteorological Centres, which are World Meteorological Organization-designated centers that provide specialized weather and climate services, including forecasting and warnings, for specific regions.
-
C.
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.
-
D.
RSMC New Delhi
RSMC New Delhi is a World Meteorological Organization-designated regional center in India responsible for specialized weather forecasting and tropical cyclone monitoring over parts of the Indian Ocean region.
-
E.
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.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
Regional Specialized Meteorological Center
ⓘ
tropical cyclone forecast center ⓘ |
| abbreviation | RSMC Honolulu ⓘ |
| basinCoverage |
area between 140°W and 180°W longitude in the North Pacific
ⓘ
tropical and subtropical Central Pacific ⓘ |
| coordinatedWith |
RSMC Miami
ⓘ
RSMC Nadi ⓘ RSMC Tokyo ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| dataSource |
numerical weather prediction models
ⓘ
radar data ⓘ satellite observations ⓘ surface observations ⓘ |
| designatedBy | World Meteorological Organization ⓘ |
| focus |
hurricanes
ⓘ
tropical cyclones ⓘ tropical depressions ⓘ tropical storms ⓘ |
| issuesProduct |
aviation advisories
ⓘ
marine advisories ⓘ public advisories ⓘ tropical cyclone advisories ⓘ tropical cyclone outlooks ⓘ tropical cyclone warnings ⓘ tropical weather discussions ⓘ |
| location |
Honolulu, Hawaii
ⓘ
linked to:
Honolulu, Hawaii, United States
|
| mandateFrom | World Meteorological Organization ⓘ |
| memberOf |
World Meteorological Organization Tropical Cyclone Programme
ⓘ
linked to:
WMO Tropical Cyclone Programme
|
| operator | National Weather Service ⓘ |
| parentOrganization | National Oceanic and Atmospheric Administration ⓘ |
| partOf | Central Pacific Hurricane Center ⓘ |
| primaryFunction |
issuance of tropical cyclone warnings
ⓘ
provision of related meteorological services ⓘ tropical cyclone forecasting ⓘ |
| providesServiceTo |
Pacific island nations
ⓘ
linked to:
Pacific Island governments
United States interests in the Central Pacific ⓘ aviation community in the Central Pacific ⓘ maritime community in the Central Pacific ⓘ |
| regionServed |
Central North Pacific Ocean
ⓘ
linked to:
Central Pacific Ocean
Central Pacific ⓘ |
| relatedTo |
Central Pacific Hurricane Center
ⓘ
National Hurricane Center ⓘ |
| responsibleFor | tropical cyclones in the Central Pacific basin ⓘ |
| sector | meteorology ⓘ |
| typeOfWarningCenter | tropical cyclone warning center ⓘ |
| usesLanguage | English ⓘ |
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 Honolulu Description of subject: RSMC Honolulu is a World Meteorological Organization-designated center responsible for specialized tropical cyclone forecasting and related meteorological services in the Central Pacific region.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.