Great Lakes Research Center
E719062
The Great Lakes Research Center is a multidisciplinary research facility at Michigan Technological University focused on advancing science, engineering, and policy related to the Great Lakes and freshwater systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Great Lakes Research Center canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8218800 — 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: Great Lakes Research Center Context triple: [Michigan Technological University, hasFacility, Great Lakes Research Center]
-
A.
Great Lakes Environmental Research Laboratory
The Great Lakes Environmental Research Laboratory is a NOAA research center dedicated to studying and monitoring the Great Lakes’ ecosystems, water quality, and environmental conditions to support resource management and policy.
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B.
University of Wisconsin–Madison Center for Limnology
The University of Wisconsin–Madison Center for Limnology is a leading research institute focused on the ecology, management, and conservation of freshwater lakes and other inland waters.
-
C.
Horn Point Laboratory
Horn Point Laboratory is a marine and environmental research facility of the University of Maryland Center for Environmental Science, known for its work on coastal ecosystems and Chesapeake Bay.
-
D.
Great Lakes Science Center
The Great Lakes Science Center is a major science and technology museum and educational facility located on the Lake Erie waterfront in downtown Cleveland, Ohio.
-
E.
Chesapeake Biological Laboratory
Chesapeake Biological Laboratory is a leading marine and environmental research facility on the Chesapeake Bay that focuses on coastal ecosystem science and education.
- 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: Great Lakes Research Center Target entity description: The Great Lakes Research Center is a multidisciplinary research facility at Michigan Technological University focused on advancing science, engineering, and policy related to the Great Lakes and freshwater systems.
-
A.
Great Lakes Environmental Research Laboratory
The Great Lakes Environmental Research Laboratory is a NOAA research center dedicated to studying and monitoring the Great Lakes’ ecosystems, water quality, and environmental conditions to support resource management and policy.
-
B.
University of Wisconsin–Madison Center for Limnology
The University of Wisconsin–Madison Center for Limnology is a leading research institute focused on the ecology, management, and conservation of freshwater lakes and other inland waters.
-
C.
Horn Point Laboratory
Horn Point Laboratory is a marine and environmental research facility of the University of Maryland Center for Environmental Science, known for its work on coastal ecosystems and Chesapeake Bay.
-
D.
Great Lakes Science Center
The Great Lakes Science Center is a major science and technology museum and educational facility located on the Lake Erie waterfront in downtown Cleveland, Ohio.
-
E.
Chesapeake Biological Laboratory
Chesapeake Biological Laboratory is a leading marine and environmental research facility on the Chesapeake Bay that focuses on coastal ecosystem science and education.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
multidisciplinary research center
ⓘ
research center ⓘ |
| affiliation | Michigan Technological University NERFINISHED ⓘ |
| aimsTo |
advance engineering related to freshwater systems
ⓘ
advance science related to the Great Lakes ⓘ inform policy related to the Great Lakes ⓘ support regional stakeholders on Great Lakes issues ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| discipline |
engineering
ⓘ
policy studies ⓘ science ⓘ |
| fieldOfWork |
Great Lakes studies
ⓘ
freshwater science ⓘ |
| focusesOn |
Great Lakes
NERFINISHED
ⓘ
aquatic ecology ⓘ aquatic invasive species ⓘ aquatic science ⓘ climate impacts on Great Lakes ⓘ coastal engineering ⓘ coastal hazards ⓘ environmental engineering ⓘ environmental policy ⓘ freshwater policy ⓘ freshwater systems ⓘ hydrodynamics ⓘ ice and snow processes on lakes ⓘ limnology ⓘ remote sensing of water bodies ⓘ water quality ⓘ water resources ⓘ |
| hasFacilityType |
aquatic research vessel support
ⓘ
computational research facility ⓘ field research facility ⓘ laboratory ⓘ |
| hasResearchArea |
aquatic monitoring technologies
ⓘ
coastal zone management ⓘ ecosystem health ⓘ environmental data analytics ⓘ freshwater conservation ⓘ hydrological modeling ⓘ lake circulation modeling ⓘ sustainable water resources management ⓘ |
| languageOfWorkOrName | English ⓘ |
| locatedIn |
Houghton, Michigan
NERFINISHED
ⓘ
Michigan Technological University campus ⓘ |
| operatesInSector |
environmental research
ⓘ
higher education ⓘ |
| partOf | Michigan Technological University research enterprise NERFINISHED ⓘ |
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: Great Lakes Research Center Description of subject: The Great Lakes Research Center is a multidisciplinary research facility at Michigan Technological University focused on advancing science, engineering, and policy related to the Great Lakes and freshwater systems.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.