Silchar Medical College and Hospital
E162736
Silchar Medical College and Hospital is a government medical teaching and tertiary care hospital located in Silchar, Assam, India.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Silchar Medical College and Hospital canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1418663 — 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: Silchar Medical College and Hospital Context triple: [Silchar, hasMedicalCollege, Silchar Medical College and Hospital]
-
A.
Ganesh Shankar Vidyarthi Memorial Medical College
Ganesh Shankar Vidyarthi Memorial Medical College is a government-run medical college and teaching hospital in Kanpur, Uttar Pradesh, known for training healthcare professionals and providing tertiary medical services to the region.
-
B.
Tezpur University
Tezpur University is a central university in Tezpur, Assam, known for its emphasis on science, engineering, humanities, and interdisciplinary research.
-
C.
Sri Venkateswara Institute of Medical Sciences
Sri Venkateswara Institute of Medical Sciences is a prominent tertiary-care teaching hospital and medical research institute located in Tirupati, Andhra Pradesh, India.
-
D.
Rajiv Gandhi University of Health Sciences
Rajiv Gandhi University of Health Sciences is a public health sciences university in Karnataka, India, overseeing and affiliating numerous medical, dental, nursing, and allied health colleges across the state.
-
E.
All India Institute of Medical Sciences Nagpur
All India Institute of Medical Sciences Nagpur is a premier government medical college and hospital in India, established under the AIIMS network to provide advanced healthcare, medical education, and research.
- 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: Silchar Medical College and Hospital Target entity description: Silchar Medical College and Hospital is a government medical teaching and tertiary care hospital located in Silchar, Assam, India.
-
A.
Ganesh Shankar Vidyarthi Memorial Medical College
Ganesh Shankar Vidyarthi Memorial Medical College is a government-run medical college and teaching hospital in Kanpur, Uttar Pradesh, known for training healthcare professionals and providing tertiary medical services to the region.
-
B.
Tezpur University
Tezpur University is a central university in Tezpur, Assam, known for its emphasis on science, engineering, humanities, and interdisciplinary research.
-
C.
Sri Venkateswara Institute of Medical Sciences
Sri Venkateswara Institute of Medical Sciences is a prominent tertiary-care teaching hospital and medical research institute located in Tirupati, Andhra Pradesh, India.
-
D.
Rajiv Gandhi University of Health Sciences
Rajiv Gandhi University of Health Sciences is a public health sciences university in Karnataka, India, overseeing and affiliating numerous medical, dental, nursing, and allied health colleges across the state.
-
E.
All India Institute of Medical Sciences Nagpur
All India Institute of Medical Sciences Nagpur is a premier government medical college and hospital in India, established under the AIIMS network to provide advanced healthcare, medical education, and research.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
medical college
ⓘ
teaching hospital ⓘ tertiary care hospital ⓘ |
| affiliatedTo |
Assam University
ⓘ
Srimanta Sankaradeva University of Health Sciences ⓘ |
| country | India ⓘ |
| hasDepartment |
ENT department
ⓘ
anaesthesiology department ⓘ biochemistry department ⓘ community medicine department ⓘ dermatology department ⓘ medicine department ⓘ microbiology department ⓘ obstetrics and gynaecology department ⓘ ophthalmology department ⓘ orthopaedics department ⓘ paediatrics department ⓘ pathology department ⓘ psychiatry department ⓘ radiology department ⓘ surgery department ⓘ |
| hasEmergencyService | yes ⓘ |
| hasFacility |
blood bank
ⓘ
inpatient wards ⓘ intensive care unit ⓘ laboratory services ⓘ operation theatre ⓘ outpatient department ⓘ radiology services ⓘ |
| hospitalType |
government hospital
ⓘ
teaching hospital ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn |
Assam
ⓘ
Cachar district ⓘ Silchar ⓘ |
| mediumOfInstruction | English ⓘ |
| offersProgram |
MBBS
ⓘ
nursing courses ⓘ postgraduate medical courses ⓘ |
| ownedBy | Government of Assam ⓘ |
| providesService |
clinical training for medical students
ⓘ
medical education ⓘ tertiary healthcare ⓘ |
| regionServed |
Barak Valley
ⓘ
southern Assam ⓘ |
| sector | public healthcare ⓘ |
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: Silchar Medical College and Hospital Description of subject: Silchar Medical College and Hospital is a government medical teaching and tertiary care hospital located in Silchar, Assam, India.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.