NOAA Hurricane Research Division
E560396
The NOAA Hurricane Research Division is a specialized branch of the National Oceanic and Atmospheric Administration dedicated to studying and improving forecasts of tropical cyclones through field missions, data collection, and scientific research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| NOAA Hurricane Research Division canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T5994385 — 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: NOAA Hurricane Research Division Context triple: [NOAA Aircraft Gulfstream IV-SP, operatingAgency, NOAA Hurricane Research Division]
-
A.
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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B.
NOAA Office of Oceanic and Atmospheric Research
The NOAA Office of Oceanic and Atmospheric Research is the research arm of the National Oceanic and Atmospheric Administration, leading scientific studies on oceans, atmosphere, climate, and related environmental systems to inform policy and operational services.
-
C.
Climate Prediction Center
The Climate Prediction Center is a U.S. government center that provides operational climate forecasts, monitoring, and assessments to support weather- and climate-related decision making.
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D.
Geophysical Fluid Dynamics Laboratory
The Geophysical Fluid Dynamics Laboratory is a leading U.S. research institution specializing in climate modeling and the study of atmospheric and oceanic dynamics.
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E.
National Severe Storms Laboratory
The National Severe Storms Laboratory is a U.S. NOAA research institution dedicated to understanding and improving forecasts of severe weather phenomena such as tornadoes, thunderstorms, and flash floods.
- 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: NOAA Hurricane Research Division Target entity description: The NOAA Hurricane Research Division is a specialized branch of the National Oceanic and Atmospheric Administration dedicated to studying and improving forecasts of tropical cyclones through field missions, data collection, and scientific research.
-
A.
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.
-
B.
NOAA Office of Oceanic and Atmospheric Research
The NOAA Office of Oceanic and Atmospheric Research is the research arm of the National Oceanic and Atmospheric Administration, leading scientific studies on oceans, atmosphere, climate, and related environmental systems to inform policy and operational services.
-
C.
Climate Prediction Center
The Climate Prediction Center is a U.S. government center that provides operational climate forecasts, monitoring, and assessments to support weather- and climate-related decision making.
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D.
Geophysical Fluid Dynamics Laboratory
The Geophysical Fluid Dynamics Laboratory is a leading U.S. research institution specializing in climate modeling and the study of atmospheric and oceanic dynamics.
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E.
National Severe Storms Laboratory
The National Severe Storms Laboratory is a U.S. NOAA research institution dedicated to understanding and improving forecasts of severe weather phenomena such as tornadoes, thunderstorms, and flash floods.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
research division
ⓘ
scientific organization ⓘ |
| affiliation | U.S. Department of Commerce ⓘ |
| collaboratesWith |
NOAA Aircraft Operations Center
ⓘ
National Hurricane Center ⓘ international meteorological agencies ⓘ universities ⓘ |
| collects |
airborne meteorological data
ⓘ
dropsonde observations ⓘ flight-level wind measurements ⓘ oceanographic data in hurricanes ⓘ radar reflectivity data ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| fieldOfWork |
atmospheric science
ⓘ
hurricane forecasting ⓘ meteorology ⓘ tropical cyclone research ⓘ |
| focusesOn |
hurricanes
ⓘ
tropical cyclone genesis ⓘ tropical cyclone landfall impacts ⓘ tropical cyclone track forecasting ⓘ tropical cyclones ⓘ tropical storm intensity ⓘ tropical storm structure ⓘ typhoons ⓘ |
| goal |
advance understanding of hurricane physics
ⓘ
improve hurricane forecasts ⓘ reduce loss of life from tropical cyclones ⓘ reduce property damage from tropical cyclones ⓘ |
| locatedIn |
Florida
ⓘ
Miami ⓘ United States ⓘ
linked to:
United States of America
|
| operates | hurricane field programs ⓘ |
| parentOrganization | Office of Oceanic and Atmospheric Research ⓘ |
| partOf |
Atlantic Oceanographic and Meteorological Laboratory
ⓘ
National Oceanic and Atmospheric Administration ⓘ |
| produces |
hurricane research datasets
ⓘ
model improvements for operational forecasting ⓘ scientific publications ⓘ |
| usesMethod |
aircraft reconnaissance
ⓘ
data assimilation ⓘ field campaigns ⓘ in situ observations ⓘ numerical modeling ⓘ radar observations ⓘ remote sensing ⓘ satellite data analysis ⓘ |
| website | https://www.aoml.noaa.gov/hrd/ ⓘ |
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: NOAA Hurricane Research Division Description of subject: The NOAA Hurricane Research Division is a specialized branch of the National Oceanic and Atmospheric Administration dedicated to studying and improving forecasts of tropical cyclones through field missions, data collection, and scientific research.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.