German Health Interview and Examination Survey (DEGS)
E239063
The German Health Interview and Examination Survey (DEGS) is a large-scale, nationally representative health study conducted in Germany to assess the population’s health status, risk factors, and healthcare utilization.
All labels observed (3)
How this entity was disambiguated
This entity first appeared as the object of triple T2164550 — 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: German Health Interview and Examination Survey (DEGS) Context triple: [Robert Koch Institute, notableWork, German Health Interview and Examination Survey (DEGS)]
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A.
German Institute for Medical Documentation and Information
The German Institute for Medical Documentation and Information is a federal agency responsible for managing health data, medical information systems, and standards to support healthcare and health policy in Germany.
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B.
Italian Cohort
The Italian Cohort was a Roman military auxiliary unit, likely composed largely of Italian soldiers, mentioned in the New Testament in connection with the centurion Cornelius at Caesarea.
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C.
Behavioral Risk Factor Surveillance System
The Behavioral Risk Factor Surveillance System is a large, ongoing U.S. health-related telephone survey system that collects data on health behaviors, chronic conditions, and preventive service use among adults.
-
D.
Medical Expenditure Panel Survey
The Medical Expenditure Panel Survey is a large-scale, nationally representative U.S. survey that collects detailed data on healthcare use, costs, insurance coverage, and access to care for individuals and families.
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E.
Max Planck Institute for Demographic Research
The Max Planck Institute for Demographic Research is a leading German research institute specializing in the study of population dynamics, aging, and demographic 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: German Health Interview and Examination Survey (DEGS) Target entity description: The German Health Interview and Examination Survey (DEGS) is a large-scale, nationally representative health study conducted in Germany to assess the population’s health status, risk factors, and healthcare utilization.
-
A.
German Institute for Medical Documentation and Information
The German Institute for Medical Documentation and Information is a federal agency responsible for managing health data, medical information systems, and standards to support healthcare and health policy in Germany.
-
B.
Italian Cohort
The Italian Cohort was a Roman military auxiliary unit, likely composed largely of Italian soldiers, mentioned in the New Testament in connection with the centurion Cornelius at Caesarea.
-
C.
Behavioral Risk Factor Surveillance System
The Behavioral Risk Factor Surveillance System is a large, ongoing U.S. health-related telephone survey system that collects data on health behaviors, chronic conditions, and preventive service use among adults.
-
D.
Medical Expenditure Panel Survey
The Medical Expenditure Panel Survey is a large-scale, nationally representative U.S. survey that collects detailed data on healthcare use, costs, insurance coverage, and access to care for individuals and families.
-
E.
Max Planck Institute for Demographic Research
The Max Planck Institute for Demographic Research is a leading German research institute specializing in the study of population dynamics, aging, and demographic change.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
epidemiological study
ⓘ
health survey ⓘ national health survey ⓘ |
| abbreviation | DEGS ⓘ |
| ageRange |
adults
ⓘ
children and adolescents ⓘ |
| conductedBy | Robert Koch Institute ⓘ |
| country | Germany ⓘ |
| dataAccess | scientific use files for researchers ⓘ |
| dataCollectionMode |
clinical examinations
ⓘ
face-to-face interviews ⓘ self-administered questionnaires ⓘ |
| dataType |
measured health data
ⓘ
self-reported health data ⓘ |
| dataUse |
international health comparisons
ⓘ
national health reporting in Germany ⓘ |
| design | repeated cross-sectional survey ⓘ |
| ethicalApproval | required from ethics committees ⓘ |
| focus |
health risk factors
ⓘ
health status of the population ⓘ healthcare utilization ⓘ |
| geographicCoverage | all federal states of Germany ⓘ |
| language |
English
ⓘ
German ⓘ |
| method |
health interview
ⓘ
laboratory tests ⓘ physical examination ⓘ |
| objective |
monitor health of the German population
ⓘ
provide data for health reporting ⓘ support health policy planning ⓘ |
| outputs |
estimates of risk factor distribution
ⓘ
indicators of healthcare utilization ⓘ prevalence estimates of diseases ⓘ |
| population | residential population in Germany ⓘ |
| relatedTo |
German Health Interview and Examination Survey (DEGS)
self-linksurface differs
ⓘ
surface form:
German National Health Interview and Examination Survey
|
| sampling | nationally representative sample ⓘ |
| scope | nationwide ⓘ |
| timePerspective | periodic health monitoring ⓘ |
| topic |
chronic diseases
ⓘ
health-related behaviors ⓘ mental health ⓘ socioeconomic determinants of health ⓘ use of medical services ⓘ |
| usedBy |
epidemiologists
ⓘ
health policy makers ⓘ public health researchers ⓘ |
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: German Health Interview and Examination Survey (DEGS) Description of subject: The German Health Interview and Examination Survey (DEGS) is a large-scale, nationally representative health study conducted in Germany to assess the population’s health status, risk factors, and healthcare utilization.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
German Health Interview and Examination Survey (DEGS)
→
relatedTo
→
German Health Interview and Examination Survey (DEGS)
self-linksurface differs
ⓘ
subject surface form:
German Health Interview and Examination Survey
this entity surface form:
German National Health Interview and Examination Survey
German Health Interview and Examination Survey for Children and Adolescents (KiGGS)
→
relatedTo
→
German Health Interview and Examination Survey (DEGS)
ⓘ
this entity surface form:
German Health Interview and Examination Survey for Adults (DEGS)