Texas Medical Center
E108686
Texas Medical Center is a vast healthcare and research complex in Houston, Texas, recognized as one of the largest medical centers in the world.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Texas Medical Center canonical | 16 |
| Texas Medical Center institutions | 2 |
| Texas Medical Center Innovation Institute (TMC Innovation) | 1 |
| Texas Medical Center Library | 1 |
| Texas Medical Center main campus | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T913197 — 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: Texas Medical Center Context triple: [Houston Museum District, adjacentTo, Texas Medical Center]
-
A.
Texas A&M University Health Science Center
Texas A&M University Health Science Center is an academic health institution within Texas A&M University that oversees education, research, and clinical programs across multiple health professions and disciplines.
-
B.
Western General Hospital
Western General Hospital is a major acute teaching hospital in Edinburgh, Scotland, providing a wide range of specialist and general medical services.
-
C.
Johns Hopkins Hospital
Johns Hopkins Hospital is a renowned academic medical center in Baltimore, Maryland, recognized globally for its pioneering research, advanced clinical care, and role in training physicians.
-
D.
Cleveland Clinic
Cleveland Clinic is a renowned nonprofit academic medical center and hospital system known for its leading-edge clinical care, research, and medical education.
-
E.
Parkland Memorial Hospital
Parkland Memorial Hospital is a major public hospital in Dallas, Texas, best known as the facility where President John F. Kennedy was treated and pronounced dead after his 1963 assassination.
- 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: Texas Medical Center Target entity description: Texas Medical Center is a vast healthcare and research complex in Houston, Texas, recognized as one of the largest medical centers in the world.
-
A.
Texas A&M University Health Science Center
Texas A&M University Health Science Center is an academic health institution within Texas A&M University that oversees education, research, and clinical programs across multiple health professions and disciplines.
-
B.
Western General Hospital
Western General Hospital is a major acute teaching hospital in Edinburgh, Scotland, providing a wide range of specialist and general medical services.
-
C.
Johns Hopkins Hospital
Johns Hopkins Hospital is a renowned academic medical center in Baltimore, Maryland, recognized globally for its pioneering research, advanced clinical care, and role in training physicians.
-
D.
Cleveland Clinic
Cleveland Clinic is a renowned nonprofit academic medical center and hospital system known for its leading-edge clinical care, research, and medical education.
-
E.
Parkland Memorial Hospital
Parkland Memorial Hospital is a major public hospital in Dallas, Texas, best known as the facility where President John F. Kennedy was treated and pronounced dead after his 1963 assassination.
- F. None of above. chosen
Statements (50)
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: Texas Medical Center Description of subject: Texas Medical Center is a vast healthcare and research complex in Houston, Texas, recognized as one of the largest medical centers in the world.
Referenced by (21)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Houston Museum District
this entity surface form:
Texas Medical Center Library
this entity surface form:
Texas Medical Center Innovation Institute (TMC Innovation)
this entity surface form:
Texas Medical Center institutions
this entity surface form:
Texas Medical Center main campus
this entity surface form:
Texas Medical Center institutions
subject surface form:
Museum District (Houston)