RSMC Nadi
E207110
RSMC Nadi is a World Meteorological Organization-designated regional center in Fiji responsible for tropical cyclone forecasting and warnings in the South Pacific region.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Fiji Meteorological Service | 3 |
| RSMC Nadi canonical | 3 |
| Regional Specialized Meteorological Centre Nadi | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1744613 — 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 Nadi Context triple: [Regional Specialized Meteorological Centres, hasMember, RSMC Nadi]
-
A.
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.
-
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 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.
-
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.
RSMC Sydney (space weather centre)
RSMC Sydney (space weather centre) is an Australian-based World Meteorological Organization regional hub that monitors and provides forecasts and warnings on space weather conditions affecting Earth and technological systems.
- 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 Nadi Target entity description: RSMC Nadi is a World Meteorological Organization-designated regional center in Fiji responsible for tropical cyclone forecasting and warnings in the South Pacific region.
-
A.
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.
-
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 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.
-
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.
RSMC Sydney (space weather centre)
RSMC Sydney (space weather centre) is an Australian-based World Meteorological Organization regional hub that monitors and provides forecasts and warnings on space weather conditions affecting Earth and technological systems.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
Regional Specialized Meteorological Centre
ⓘ
tropical cyclone warning center ⓘ |
| affiliation | World Meteorological Organization ⓘ |
| basinCoverage |
South Pacific Ocean east of 160°E
ⓘ
linked to:
South Pacific Ocean
South Pacific Ocean south of the equator ⓘ
linked to:
South Pacific Ocean
area between 160°E and 120°W in the South Pacific ⓘ area between the equator and 25°S in the South Pacific ⓘ |
| coordinatesWith |
WMO Tropical Cyclone Programme
ⓘ
national meteorological services in the South Pacific ⓘ |
| country | Fiji ⓘ |
| dataSources |
buoy and ship reports
ⓘ
numerical weather prediction models ⓘ satellite observations ⓘ surface observations ⓘ upper-air observations ⓘ |
| designation |
WMO Regional Specialized Meteorological Centre
ⓘ
linked to:
Regional Specialized Meteorological Centres
|
| field |
meteorology
ⓘ
operational weather forecasting ⓘ tropical cyclone forecasting ⓘ |
| issues |
tropical cyclone advisories
ⓘ
tropical cyclone outlooks ⓘ tropical cyclone warnings ⓘ tropical disturbance summaries ⓘ |
| languageOfCommunication | English ⓘ |
| locatedIn |
Nadi
ⓘ
South Pacific Ocean region ⓘ
linked to:
South Pacific Ocean
|
| locatedOn | Viti Levu ⓘ |
| mandateFrom | World Meteorological Organization ⓘ |
| operator |
Fiji Meteorological Service
ⓘ
linked to:
RSMC Nadi
|
| parentOrganization |
Fiji Meteorological Service
ⓘ
linked to:
RSMC Nadi
|
| partOf |
WMO tropical cyclone regional warning system
ⓘ
linked to:
WMO Tropical Cyclone Programme
|
| primaryHazardType | tropical cyclones ⓘ |
| providesServiceTo |
Pacific Island countries
ⓘ
South Pacific national meteorological services ⓘ |
| regionServed |
South Pacific
ⓘ
South Pacific tropical cyclone basin ⓘ
linked to:
South Pacific Ocean
|
| responsibleFor |
tropical cyclone forecasting
ⓘ
tropical cyclone monitoring ⓘ tropical cyclone naming ⓘ tropical cyclone warnings ⓘ |
| role | regional hub for tropical cyclone information in the South Pacific ⓘ |
| supports |
disaster risk reduction in the South Pacific
ⓘ
marine and aviation warnings related to tropical cyclones ⓘ |
| timeScale | real-time operational forecasting ⓘ |
| usesClassification | South Pacific tropical cyclone intensity scale ⓘ |
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 Nadi Description of subject: RSMC Nadi is a World Meteorological Organization-designated regional center in Fiji responsible for tropical cyclone forecasting and warnings in the South Pacific region.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: RSMC Nadi
linked to: RSMC Nadi
South Pacific tropical cyclone intensity scale
→
usedBy
→
Regional Specialized Meteorological Centre Nadi
ⓘ
linked to: RSMC Nadi