National Marine Environmental Forecasting Center
E300880
The National Marine Environmental Forecasting Center is a Chinese governmental institution responsible for monitoring, forecasting, and providing early warnings on marine environmental conditions and disasters.
All labels observed (1)
| Label | Occurrences |
|---|---|
| National Marine Environmental Forecasting Center canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2817594 — 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: National Marine Environmental Forecasting Center Context triple: [Ministry of Natural Resources of the People’s Republic of China, oversees, National Marine Environmental Forecasting Center]
-
A.
Ocean Prediction Center
The Ocean Prediction Center is a specialized branch of the U.S. National Weather Service that provides marine weather forecasts and warnings for the North Atlantic and North Pacific Oceans to support maritime safety and operations.
-
B.
Center for Operational Oceanographic Products and Services
The Center for Operational Oceanographic Products and Services is a division of NOAA that provides tide, water level, current, and other coastal oceanographic data and services to support navigation, coastal management, and marine operations.
-
C.
National Ocean Service
The National Ocean Service is a division of the U.S. National Oceanic and Atmospheric Administration (NOAA) responsible for providing science, tools, and services to understand and manage the nation’s coastal and marine environments.
-
D.
NOAA Marine Operations Center–Pacific
NOAA Marine Operations Center–Pacific is a major National Oceanic and Atmospheric Administration facility that supports and manages research and survey vessels operating in the Pacific Ocean.
-
E.
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.
- 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: National Marine Environmental Forecasting Center Target entity description: The National Marine Environmental Forecasting Center is a Chinese governmental institution responsible for monitoring, forecasting, and providing early warnings on marine environmental conditions and disasters.
-
A.
Ocean Prediction Center
The Ocean Prediction Center is a specialized branch of the U.S. National Weather Service that provides marine weather forecasts and warnings for the North Atlantic and North Pacific Oceans to support maritime safety and operations.
-
B.
Center for Operational Oceanographic Products and Services
The Center for Operational Oceanographic Products and Services is a division of NOAA that provides tide, water level, current, and other coastal oceanographic data and services to support navigation, coastal management, and marine operations.
-
C.
National Ocean Service
The National Ocean Service is a division of the U.S. National Oceanic and Atmospheric Administration (NOAA) responsible for providing science, tools, and services to understand and manage the nation’s coastal and marine environments.
-
D.
NOAA Marine Operations Center–Pacific
NOAA Marine Operations Center–Pacific is a major National Oceanic and Atmospheric Administration facility that supports and manages research and survey vessels operating in the Pacific Ocean.
-
E.
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.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
government agency
ⓘ
research institute ⓘ |
| cooperatesWith |
China Meteorological Administration
ⓘ
Chinese Academy of Sciences ⓘ international marine forecasting centers ⓘ |
| country | China ⓘ |
| field |
disaster prevention
ⓘ
marine environmental protection ⓘ marine meteorology ⓘ marine science ⓘ oceanography ⓘ |
| hasWebsite | http://www.nmefc.cn/ ⓘ |
| jurisdiction |
People’s Republic of China
ⓘ
linked to:
China
|
| languageOfWork | Chinese ⓘ |
| locatedIn | Beijing ⓘ |
| operatedBy | Ministry of Natural Resources of the People’s Republic of China ⓘ |
| predecessor |
State Oceanic Administration of China
ⓘ
linked to:
State Oceanic Administration
|
| primaryRole |
marine disaster early warning
ⓘ
marine environmental forecasting ⓘ marine environmental monitoring ⓘ ocean condition analysis ⓘ |
| providesServiceFor |
coastal engineering
ⓘ
fisheries ⓘ marine disaster prevention and mitigation ⓘ maritime transportation ⓘ offshore oil and gas development ⓘ |
| responsibleFor |
issuing marine disaster warnings
ⓘ
issuing marine environmental bulletins ⓘ issuing sea fog forecasts ⓘ issuing sea ice forecasts ⓘ issuing storm surge forecasts ⓘ issuing wave forecasts ⓘ monitoring marine ecological conditions ⓘ monitoring ocean waves ⓘ monitoring red tides ⓘ monitoring sea ice conditions ⓘ monitoring sea surface temperature ⓘ monitoring storm surges ⓘ |
| sector | public sector ⓘ |
| uses |
in-situ ocean observation networks
ⓘ
numerical ocean models ⓘ satellite remote sensing data ⓘ |
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: National Marine Environmental Forecasting Center Description of subject: The National Marine Environmental Forecasting Center is a Chinese governmental institution responsible for monitoring, forecasting, and providing early warnings on marine environmental conditions and disasters.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
Ministry of Natural Resources of the People’s Republic of China
→
oversees
→
National Marine Environmental Forecasting Center
ⓘ