Newton-Wellesley Hospital
E1047
Newton-Wellesley Hospital is a community teaching hospital serving the Greater Boston area with a range of medical and surgical services.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Newton-Wellesley Hospital canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T9923 — 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: Newton-Wellesley Hospital Context triple: [Newton, Massachusetts, hasHospital, Newton-Wellesley Hospital]
-
A.
Penn Presbyterian Medical Center
Penn Presbyterian Medical Center is a major teaching hospital in Philadelphia affiliated with the University of Pennsylvania’s health system, known for advanced specialty care and medical research.
-
B.
Hospital of the University of Pennsylvania
The Hospital of the University of Pennsylvania is a major academic medical center in Philadelphia that serves as the primary teaching hospital for the University of Pennsylvania's Perelman School of Medicine.
-
C.
Tufts College
Tufts College is a private research university in Medford and Somerville, Massachusetts, known for its strong programs in the liberal arts, sciences, and international relations.
-
D.
Longwood Medical Area
Longwood Medical Area is a major medical and academic district in Boston known for its concentration of world-renowned hospitals, research institutions, and health sciences schools.
-
E.
Harvard Library
Harvard Library is the extensive academic library system of Harvard University, recognized as one of the largest and most comprehensive research library networks in the world.
- 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: Newton-Wellesley Hospital Target entity description: Newton-Wellesley Hospital is a community teaching hospital serving the Greater Boston area with a range of medical and surgical services.
-
A.
Penn Presbyterian Medical Center
Penn Presbyterian Medical Center is a major teaching hospital in Philadelphia affiliated with the University of Pennsylvania’s health system, known for advanced specialty care and medical research.
-
B.
Hospital of the University of Pennsylvania
The Hospital of the University of Pennsylvania is a major academic medical center in Philadelphia that serves as the primary teaching hospital for the University of Pennsylvania's Perelman School of Medicine.
-
C.
Tufts College
Tufts College is a private research university in Medford and Somerville, Massachusetts, known for its strong programs in the liberal arts, sciences, and international relations.
-
D.
Longwood Medical Area
Longwood Medical Area is a major medical and academic district in Boston known for its concentration of world-renowned hospitals, research institutions, and health sciences schools.
-
E.
Harvard Library
Harvard Library is the extensive academic library system of Harvard University, recognized as one of the largest and most comprehensive research library networks in the world.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
community hospital
ⓘ
hospital ⓘ teaching hospital ⓘ |
| affiliation |
Harvard Medical School (clinical training site)
ⓘ
linked to:
Harvard Medical School
Mass General Brigham ⓘ Tufts University School of Medicine ⓘ |
| city | Newton ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| foundedInCentury | 19th century ⓘ |
| governanceType | nonprofit hospital ⓘ |
| hasEmergencyDepartment | true ⓘ |
| hasFacilityType | acute care hospital ⓘ |
| hasSpecialty |
cardiology
ⓘ
emergency medicine ⓘ family medicine ⓘ general medicine ⓘ general surgery ⓘ gynecology ⓘ internal medicine ⓘ obstetrics ⓘ oncology ⓘ orthopedics ⓘ radiology ⓘ |
| hasTeachingRole |
clinical training for fellows
ⓘ
clinical training for medical students ⓘ clinical training for residents ⓘ |
| hasWebsite | https://www.nwh.org/ ⓘ |
| healthcareSystem | Mass General Brigham ⓘ |
| languageOfService | English ⓘ |
| locatedIn |
Greater Boston
ⓘ
Middlesex County, Massachusetts ⓘ |
| offersService |
cardiology services
ⓘ
emergency care ⓘ medical services ⓘ obstetrics and gynecology ⓘ oncology services ⓘ orthopedic surgery ⓘ primary care ⓘ radiology and imaging ⓘ rehabilitation services ⓘ surgical services ⓘ |
| providesCareSetting |
inpatient care
ⓘ
outpatient care ⓘ |
| regionServed |
eastern Massachusetts
ⓘ
linked to:
Greater Boston
|
| serves |
Greater Boston area
ⓘ
linked to:
Greater Boston
|
| servesPopulation |
adult patients
ⓘ
pediatric patients ⓘ |
| state | Massachusetts ⓘ |
| teachingStatus | teaching hospital ⓘ |
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: Newton-Wellesley Hospital Description of subject: Newton-Wellesley Hospital is a community teaching hospital serving the Greater Boston area with a range of medical and surgical services.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.