Suranaree University of Technology
E329327
Suranaree University of Technology is a public research university in Nakhon Ratchasima, Thailand, known for its strong emphasis on science, engineering, and technology education.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Suranaree University of Technology canonical | 2 |
| Suranaree Techno Tiger | 1 |
| Suranaree University of Technology Library | 1 |
| มหาวิทยาลัยเทคโนโลยีสุรนารี | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3104306 — 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: Suranaree University of Technology Context triple: [Korat, Thailand, hasUniversity, Suranaree University of Technology]
-
A.
Nakhon Ratchasima Rajabhat University
Nakhon Ratchasima Rajabhat University is a public higher education institution in Nakhon Ratchasima Province, Thailand, focusing on teacher education and regional community development.
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B.
Chulalongkorn University
Chulalongkorn University is Thailand’s oldest and one of its most prestigious universities, renowned for its research, academic excellence, and leadership in higher education in Southeast Asia.
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C.
Chiang Mai University
Chiang Mai University is a leading public research university in northern Thailand known for its comprehensive academic programs and strong emphasis on regional development and culture.
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D.
Mahidol University
Mahidol University is one of Thailand’s leading research-intensive universities, renowned especially for its excellence in medicine, health sciences, and related fields.
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E.
Sasin School of Management
Sasin School of Management is a leading international business school in Bangkok, Thailand, known for its MBA and executive education programs and its affiliation with top global institutions.
- 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: Suranaree University of Technology Target entity description: Suranaree University of Technology is a public research university in Nakhon Ratchasima, Thailand, known for its strong emphasis on science, engineering, and technology education.
-
A.
Nakhon Ratchasima Rajabhat University
Nakhon Ratchasima Rajabhat University is a public higher education institution in Nakhon Ratchasima Province, Thailand, focusing on teacher education and regional community development.
-
B.
Chulalongkorn University
Chulalongkorn University is Thailand’s oldest and one of its most prestigious universities, renowned for its research, academic excellence, and leadership in higher education in Southeast Asia.
-
C.
Chiang Mai University
Chiang Mai University is a leading public research university in northern Thailand known for its comprehensive academic programs and strong emphasis on regional development and culture.
-
D.
Mahidol University
Mahidol University is one of Thailand’s leading research-intensive universities, renowned especially for its excellence in medicine, health sciences, and related fields.
-
E.
Sasin School of Management
Sasin School of Management is a leading international business school in Bangkok, Thailand, known for its MBA and executive education programs and its affiliation with top global institutions.
- 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: Suranaree University of Technology Description of subject: Suranaree University of Technology is a public research university in Nakhon Ratchasima, Thailand, known for its strong emphasis on science, engineering, and technology education.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
Suranaree University of Technology
→
nativeName
→
Suranaree University of Technology
self-linksurface differs
ⓘ
this entity surface form:
มหาวิทยาลัยเทคโนโลยีสุรนารี
Suranaree University of Technology
→
hasLibrary
→
Suranaree University of Technology
self-linksurface differs
ⓘ
this entity surface form:
Suranaree University of Technology Library
Suranaree University of Technology
→
hasMascot
→
Suranaree University of Technology
self-linksurface differs
ⓘ
this entity surface form:
Suranaree Techno Tiger