Soroka University Medical Center
E229041
Soroka University Medical Center is a major teaching and research hospital in southern Israel, affiliated with Ben-Gurion University of the Negev and serving as a primary medical center for the Negev region.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Soroka University Medical Center canonical | 3 |
| Soroka Medical Center | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2051070 — 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: Soroka University Medical Center Context triple: [Beersheba, hasMajorHospital, Soroka University Medical Center]
-
A.
Sheba Medical Center
Sheba Medical Center is Israel’s largest and one of the Middle East’s leading hospitals, renowned for its advanced medical research, comprehensive clinical care, and innovation in healthcare.
-
B.
LAU Medical Center–Rizk Hospital
LAU Medical Center–Rizk Hospital is a major teaching and healthcare institution in Beirut affiliated with the Lebanese American University, providing advanced medical services and clinical education.
-
C.
Mount Sinai Health System
Mount Sinai Health System is a major academic medical center and hospital network based in New York City, known for its extensive clinical care, research, and teaching programs.
-
D.
Mount Sinai West
Mount Sinai West is a major teaching hospital in Manhattan, New York City, affiliated with the Icahn School of Medicine at Mount Sinai and part of the Mount Sinai Health System.
-
E.
Montefiore Hospital, New York
Montefiore Hospital in New York is a major academic medical center and teaching hospital known for its advanced clinical care and affiliation with the Albert Einstein College of Medicine.
- 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: Soroka University Medical Center Target entity description: Soroka University Medical Center is a major teaching and research hospital in southern Israel, affiliated with Ben-Gurion University of the Negev and serving as a primary medical center for the Negev region.
-
A.
Sheba Medical Center
Sheba Medical Center is Israel’s largest and one of the Middle East’s leading hospitals, renowned for its advanced medical research, comprehensive clinical care, and innovation in healthcare.
-
B.
LAU Medical Center–Rizk Hospital
LAU Medical Center–Rizk Hospital is a major teaching and healthcare institution in Beirut affiliated with the Lebanese American University, providing advanced medical services and clinical education.
-
C.
Mount Sinai Health System
Mount Sinai Health System is a major academic medical center and hospital network based in New York City, known for its extensive clinical care, research, and teaching programs.
-
D.
Mount Sinai West
Mount Sinai West is a major teaching hospital in Manhattan, New York City, affiliated with the Icahn School of Medicine at Mount Sinai and part of the Mount Sinai Health System.
-
E.
Montefiore Hospital, New York
Montefiore Hospital in New York is a major academic medical center and teaching hospital known for its advanced clinical care and affiliation with the Albert Einstein College of Medicine.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
research hospital
ⓘ
teaching hospital ⓘ university hospital ⓘ |
| affiliatedWith | Ben-Gurion University of the Negev ⓘ |
| country | Israel ⓘ |
| emergencyServices | true ⓘ |
| hasCardiologyDepartment | true ⓘ |
| hasEmergencyDepartment | true ⓘ |
| hasHelipad | true ⓘ |
| hasInpatientWards | true ⓘ |
| hasIntensiveCareUnit | true ⓘ |
| hasInternalMedicineDepartment | true ⓘ |
| hasNeonatalIntensiveCareUnit | true ⓘ |
| hasObstetricsAndGynecologyDepartment | true ⓘ |
| hasOncologyDepartment | true ⓘ |
| hasOutpatientClinics | true ⓘ |
| hasPediatricDepartment | true ⓘ |
| hasSurgeryDepartment | true ⓘ |
| hasTraumaCenter | true ⓘ |
| isMajorTeachingHospitalIn |
Southern District, Israel
ⓘ
surface form:
southern Israel
|
| isTertiaryCareCenter | true ⓘ |
| languageOfService |
Arabic
ⓘ
English ⓘ Hebrew ⓘ |
| locatedIn | Beersheba ⓘ |
| medicalSchoolAffiliation |
Ben-Gurion University of the Negev
ⓘ
surface form:
Ben-Gurion University of the Negev Faculty of Health Sciences
|
| operatedBy |
Kupat Holim Clalit
ⓘ
surface form:
Clalit Health Services
|
| providesService |
cardiology
ⓘ
diagnostic imaging ⓘ emergency medicine ⓘ general surgery ⓘ intensive care ⓘ internal medicine ⓘ neonatology ⓘ obstetrics and gynecology ⓘ oncology ⓘ pediatrics ⓘ |
| publicHealthcare | true ⓘ |
| regionServed |
Negev desert
ⓘ
surface form:
Negev
|
| researchActivities |
clinical research
ⓘ
epidemiological research ⓘ public health research ⓘ |
| role | primary medical center for the Negev region ⓘ |
| servesPopulation |
Bedouin communities in the Negev
ⓘ
residents of Beersheba ⓘ residents of the Negev ⓘ |
| teachingActivities |
clinical training for medical students
ⓘ
residency training programs ⓘ |
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: Soroka University Medical Center Description of subject: Soroka University Medical Center is a major teaching and research hospital in southern Israel, affiliated with Ben-Gurion University of the Negev and serving as a primary medical center for the Negev region.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Soroka Medical Center
subject surface form:
Faculty of Health Sciences, Ben-Gurion University of the Negev
this entity surface form:
Soroka Medical Center