Department of Meteorology
E324581
The Department of Meteorology at the University of Reading is a leading academic and research center specializing in atmospheric science, weather, and climate studies.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Department of Meteorology canonical | 1 |
| University of Reading Department of Meteorology | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3080011 — 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: Department of Meteorology Context triple: [University of Reading, hasFaculty, Department of Meteorology]
-
A.
Tropical Analysis and Forecast Branch
The Tropical Analysis and Forecast Branch is a specialized division of the National Hurricane Center that provides marine weather analyses, forecasts, and warnings for tropical and subtropical waters.
-
B.
National Weather Center
The National Weather Center is a major U.S. hub for meteorological research, forecasting, and severe weather operations that houses multiple NOAA and academic weather agencies.
-
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.
-
D.
Office of Forecasting, Research and Analysis
The Office of Forecasting, Research and Analysis is a unit within the Oregon Department of Human Services that provides data-driven forecasts, research, and analytical support to guide human services planning and policy decisions in the state.
-
E.
College of Atmospheric and Geographic Sciences
The College of Atmospheric and Geographic Sciences is a University of Oklahoma academic division known for its programs and research in meteorology, climate, and earth sciences.
- 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: Department of Meteorology Target entity description: The Department of Meteorology at the University of Reading is a leading academic and research center specializing in atmospheric science, weather, and climate studies.
-
A.
Tropical Analysis and Forecast Branch
The Tropical Analysis and Forecast Branch is a specialized division of the National Hurricane Center that provides marine weather analyses, forecasts, and warnings for tropical and subtropical waters.
-
B.
National Weather Center
The National Weather Center is a major U.S. hub for meteorological research, forecasting, and severe weather operations that houses multiple NOAA and academic weather agencies.
-
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.
-
D.
Office of Forecasting, Research and Analysis
The Office of Forecasting, Research and Analysis is a unit within the Oregon Department of Human Services that provides data-driven forecasts, research, and analytical support to guide human services planning and policy decisions in the state.
-
E.
College of Atmospheric and Geographic Sciences
The College of Atmospheric and Geographic Sciences is a University of Oklahoma academic division known for its programs and research in meteorology, climate, and earth sciences.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
research institute ⓘ |
| affiliation |
National Centre for Atmospheric Science
ⓘ
National Centre for Earth Observation ⓘ |
| campus | Whiteknights Campus ⓘ |
| collaboratesWith |
European Centre for Medium-Range Weather Forecasts
ⓘ
Met Office ⓘ
surface form:
UK Met Office
|
| country | United Kingdom ⓘ |
| employs |
academic staff
ⓘ
research staff ⓘ technical staff ⓘ |
| fieldOfWork |
atmospheric chemistry
ⓘ
atmospheric physics ⓘ atmospheric science ⓘ boundary-layer meteorology ⓘ climate change ⓘ climate impacts ⓘ climate modelling ⓘ climate science ⓘ data assimilation ⓘ hydrometeorology ⓘ meteorology ⓘ numerical weather prediction ⓘ synoptic meteorology ⓘ weather ⓘ |
| hasResearchArea |
aerosols and clouds
ⓘ
climate services ⓘ climate variability ⓘ extreme weather ⓘ land–surface processes ⓘ ocean–atmosphere interaction ⓘ stratosphere–troposphere coupling ⓘ weather forecasting ⓘ |
| hasWebsite | https://www.reading.ac.uk/meteorology ⓘ |
| knownFor |
atmospheric dynamics research
ⓘ
climate model development ⓘ meteorology education ⓘ numerical weather prediction research ⓘ operational meteorology training ⓘ research in weather and climate ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn |
Reading, Berkshire, England
ⓘ
surface form:
Reading, Berkshire
|
| offersProgram |
PhD programmes in atmospheric science
ⓘ
postgraduate taught degrees in climate science ⓘ postgraduate taught degrees in meteorology ⓘ undergraduate degree in meteorology ⓘ undergraduate degree in meteorology and climate ⓘ |
| partOf | University of Reading ⓘ |
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: Department of Meteorology Description of subject: The Department of Meteorology at the University of Reading is a leading academic and research center specializing in atmospheric science, weather, and climate studies.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
University of Reading Department of Meteorology