Dalian Medical University
E718017
Dalian Medical University is a major medical education and research institution in Dalian, China, known for training healthcare professionals and conducting biomedical research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dalian Medical University canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8186648 — 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: Dalian Medical University Context triple: [Dalian, hasUniversity, Dalian Medical University]
-
A.
China Medical University (Shenyang)
China Medical University (Shenyang) is a major Chinese medical university known for its comprehensive medical education, research, and affiliated hospitals, located in Shenyang, Liaoning Province.
-
B.
Tianjin Medical University
Tianjin Medical University is a major Chinese medical institution known for its education and research in clinical medicine, public health, and biomedical sciences.
-
C.
Hebei Medical University
Hebei Medical University is a major medical higher education institution in Hebei Province, China, known for training healthcare professionals and conducting medical research.
-
D.
The Second Affiliated Hospital of China Medical University
The Second Affiliated Hospital of China Medical University is a major teaching and tertiary care hospital in Shenyang, China, providing advanced clinical services, medical education, and research under China Medical University.
-
E.
Shanghai Jiao Tong University School of Medicine
Shanghai Jiao Tong University School of Medicine is a leading medical school in China known for its comprehensive medical education, research, and affiliated teaching hospitals in Shanghai.
- 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: Dalian Medical University Target entity description: Dalian Medical University is a major medical education and research institution in Dalian, China, known for training healthcare professionals and conducting biomedical research.
-
A.
China Medical University (Shenyang)
China Medical University (Shenyang) is a major Chinese medical university known for its comprehensive medical education, research, and affiliated hospitals, located in Shenyang, Liaoning Province.
-
B.
Tianjin Medical University
Tianjin Medical University is a major Chinese medical institution known for its education and research in clinical medicine, public health, and biomedical sciences.
-
C.
Hebei Medical University
Hebei Medical University is a major medical higher education institution in Hebei Province, China, known for training healthcare professionals and conducting medical research.
-
D.
The Second Affiliated Hospital of China Medical University
The Second Affiliated Hospital of China Medical University is a major teaching and tertiary care hospital in Shenyang, China, providing advanced clinical services, medical education, and research under China Medical University.
-
E.
Shanghai Jiao Tong University School of Medicine
Shanghai Jiao Tong University School of Medicine is a leading medical school in China known for its comprehensive medical education, research, and affiliated teaching hospitals in Shanghai.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
medical university
ⓘ
public university ⓘ research university ⓘ |
| country | China ⓘ |
| fieldOfStudy |
basic medical sciences
ⓘ
biomedical sciences ⓘ clinical medicine ⓘ dentistry ⓘ medicine ⓘ nursing ⓘ pharmacy ⓘ public health ⓘ |
| focus |
biomedical innovation
ⓘ
healthcare workforce training ⓘ medical education ⓘ public health improvement ⓘ |
| hasFacility |
affiliated hospitals
ⓘ
clinical skills training centers ⓘ library ⓘ research laboratories ⓘ student dormitories ⓘ teaching hospital ⓘ |
| hasType |
biomedical research institution
ⓘ
medical education institution ⓘ |
| knownFor |
biomedical research output
ⓘ
international medical programs ⓘ medical education quality ⓘ training doctors ⓘ training nurses ⓘ |
| languageOfInstruction |
Chinese
ⓘ
English ⓘ |
| locatedIn |
Dalian
NERFINISHED
ⓘ
Liaoning Province NERFINISHED ⓘ Northeast China NERFINISHED ⓘ |
| offersProgram |
MBBS program
ⓘ
doctoral programs ⓘ international medical education programs ⓘ master’s programs ⓘ undergraduate programs ⓘ |
| regionServed |
China
ⓘ
Dalian NERFINISHED ⓘ Liaoning Province NERFINISHED ⓘ |
| sector | higher education ⓘ |
| serves |
domestic students
ⓘ
international students ⓘ |
| specializesIn |
biomedical research
ⓘ
clinical research ⓘ training healthcare professionals ⓘ |
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: Dalian Medical University Description of subject: Dalian Medical University is a major medical education and research institution in Dalian, China, known for training healthcare professionals and conducting biomedical research.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.