Centre for Air Pollution and Noise
E535464
The Centre for Air Pollution and Noise is a specialized unit within Norway’s public health system that researches and assesses the health impacts of air pollution and environmental noise.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Centre for Air Pollution and Noise canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5651936 — 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: Centre for Air Pollution and Noise Context triple: [Norwegian Institute of Public Health, hasPart, Centre for Air Pollution and Noise]
-
A.
Centre for Environmental Planning and Technology
The Centre for Environmental Planning and Technology, now known as CEPT University, is a premier Ahmedabad-based institution renowned for its programs in architecture, planning, design, and related built-environment disciplines.
-
B.
Institute of Environmental Sciences
The Institute of Environmental Sciences is a graduate-level research and education center at Boğaziçi University focused on environmental science, technology, and policy.
-
C.
Institute of Environmental Sciences
The Institute of Environmental Sciences is a specialized academic and research unit at Cheikh Anta Diop University focused on studying and addressing environmental issues and sustainable development.
-
D.
Institute of Environmental Sciences
The Institute of Environmental Sciences is a research and teaching institute at Leiden University focused on studying environmental change, sustainability, and the interactions between humans and natural systems.
-
E.
Lancaster Environment Centre
Lancaster Environment Centre is a major interdisciplinary research and teaching hub at Lancaster University focused on environmental science, sustainability, and the impacts of climate change.
- 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: Centre for Air Pollution and Noise Target entity description: The Centre for Air Pollution and Noise is a specialized unit within Norway’s public health system that researches and assesses the health impacts of air pollution and environmental noise.
-
A.
Centre for Environmental Planning and Technology
The Centre for Environmental Planning and Technology, now known as CEPT University, is a premier Ahmedabad-based institution renowned for its programs in architecture, planning, design, and related built-environment disciplines.
-
B.
Institute of Environmental Sciences
The Institute of Environmental Sciences is a graduate-level research and education center at Boğaziçi University focused on environmental science, technology, and policy.
-
C.
Institute of Environmental Sciences
The Institute of Environmental Sciences is a specialized academic and research unit at Cheikh Anta Diop University focused on studying and addressing environmental issues and sustainable development.
-
D.
Institute of Environmental Sciences
The Institute of Environmental Sciences is a research and teaching institute at Leiden University focused on studying environmental change, sustainability, and the interactions between humans and natural systems.
-
E.
Lancaster Environment Centre
Lancaster Environment Centre is a major interdisciplinary research and teaching hub at Lancaster University focused on environmental science, sustainability, and the impacts of climate change.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
public health institution
ⓘ
research centre ⓘ |
| aimsTo |
inform environmental regulation
ⓘ
support public health policy ⓘ |
| collaboratesWith |
Norwegian health authorities
NERFINISHED
ⓘ
environmental agencies in Norway ⓘ |
| country | Norway ⓘ |
| dataTypeUsed |
environmental monitoring data
ⓘ
health registry data ⓘ |
| fieldOfWork |
air pollution
ⓘ
environmental health ⓘ environmental noise ⓘ public health ⓘ |
| focusesOn |
health impacts of air pollution
ⓘ
health impacts of environmental noise ⓘ |
| goal | protect population health from environmental exposures ⓘ |
| locatedIn | Norway ⓘ |
| partOf | Norwegian public health system ⓘ |
| researchActivity |
assessment of exposure to air pollutants
ⓘ
assessment of exposure to environmental noise ⓘ epidemiological studies on air pollution ⓘ epidemiological studies on noise ⓘ |
| sector | public sector ⓘ |
| studies |
annoyance from environmental noise
ⓘ
cardiovascular effects of air pollution ⓘ respiratory effects of air pollution ⓘ sleep disturbance from environmental noise ⓘ |
| topic |
air quality
ⓘ
environmental risk assessment ⓘ noise pollution ⓘ |
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: Centre for Air Pollution and Noise Description of subject: The Centre for Air Pollution and Noise is a specialized unit within Norway’s public health system that researches and assesses the health impacts of air pollution and environmental noise.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.