RA III

E719394

RA III is the World Meteorological Organization’s Regional Association for South America, coordinating meteorological and hydrological activities across the continent.

All labels observed (1)

Label Occurrences
RA III canonical 1

Statements (47)

Predicate Object
instanceOf World Meteorological Organization regional association
regional meteorological body
abbreviationOf Regional Association III NERFINISHED
affiliation United Nations system via WMO NERFINISHED
collaboratesWith WMO Technical Commissions NERFINISHED
other WMO Regional Associations
continent South America
countryCoverage Argentina NERFINISHED
Bolivia NERFINISHED
Brazil NERFINISHED
Chile NERFINISHED
Colombia NERFINISHED
Ecuador NERFINISHED
Guyana NERFINISHED
Paraguay NERFINISHED
Peru NERFINISHED
Suriname NERFINISHED
Uruguay NERFINISHED
Venezuela NERFINISHED
field climatology
hydrology
meteorology
focusArea hydrological services for South America
weather and climate services for South America
fullName Regional Association III NERFINISHED
governingBody Regional Association III session NERFINISHED
hasMemberType National Meteorological and Hydrological Services NERFINISHED
language Portuguese
Spanish
organizationType intergovernmental regional body
parentOrganization World Meteorological Organization NERFINISHED
partOf World Meteorological Organization regional association system NERFINISHED
purpose capacity building for National Meteorological and Hydrological Services
coordination of hydrological activities in South America
coordination of meteorological activities in South America
implementation of WMO programmes in South America
improvement of observation networks in South America
strengthening regional cooperation in weather and climate services
support for disaster risk reduction related to weather and climate
region South America
scope regional
standardFollows WMO technical regulations NERFINISHED
topic climate monitoring
data exchange
early warning systems
hydrological monitoring
weather forecasting

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: RA III
Description of subject: RA III is the World Meteorological Organization’s Regional Association for South America, coordinating meteorological and hydrological activities across the continent.

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.