Academia Sinica
E279523
Academia Sinica is Taiwan’s national academy and leading research institution, renowned for its advanced work across the natural sciences, humanities, and social sciences.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Academia Sinica canonical | 13 |
| Academia Sinica Institute of Astronomy and Astrophysics | 3 |
| Academia Sinica (mainland branches) | 1 |
| Institute of History and Philology, Academia Sinica | 1 |
| 中央研究院 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2584812 — 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: Academia Sinica Context triple: [Yuan T. Lee, workInstitution, Academia Sinica]
-
A.
Chinese Academy of Sciences
The Chinese Academy of Sciences is China’s premier national scientific institution, overseeing a wide range of research institutes and playing a central role in the country’s science and technology development.
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B.
Kwang Hua University
Kwang Hua University was a former Chinese higher education institution whose legacy contributed to the establishment of East China Normal University.
-
C.
Kavli Institute for Astronomy and Astrophysics at Peking University
The Kavli Institute for Astronomy and Astrophysics at Peking University is a leading research center in China dedicated to cutting-edge theoretical and observational studies of the universe, from exoplanets to cosmology.
-
D.
National Chiao Tung University
National Chiao Tung University is a leading Taiwanese research university renowned for its strengths in engineering, computer science, and technology innovation.
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E.
Sun Yat-sen University
Sun Yat-sen University is a major comprehensive public research university in China, renowned for its strong academic programs and historical significance in southern China.
- 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: Academia Sinica Target entity description: Academia Sinica is Taiwan’s national academy and leading research institution, renowned for its advanced work across the natural sciences, humanities, and social sciences.
-
A.
Chinese Academy of Sciences
The Chinese Academy of Sciences is China’s premier national scientific institution, overseeing a wide range of research institutes and playing a central role in the country’s science and technology development.
-
B.
Kwang Hua University
Kwang Hua University was a former Chinese higher education institution whose legacy contributed to the establishment of East China Normal University.
-
C.
Kavli Institute for Astronomy and Astrophysics at Peking University
The Kavli Institute for Astronomy and Astrophysics at Peking University is a leading research center in China dedicated to cutting-edge theoretical and observational studies of the universe, from exoplanets to cosmology.
-
D.
National Chiao Tung University
National Chiao Tung University is a leading Taiwanese research university renowned for its strengths in engineering, computer science, and technology innovation.
-
E.
Sun Yat-sen University
Sun Yat-sen University is a major comprehensive public research university in China, renowned for its strong academic programs and historical significance in southern China.
- F. None of above. chosen
Statements (55)
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: Academia Sinica Description of subject: Academia Sinica is Taiwan’s national academy and leading research institution, renowned for its advanced work across the natural sciences, humanities, and social sciences.
Referenced by (19)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Academia Sinica
linked to: Academia Sinica
linked to: Academia Sinica
subject linked to:
Shiing-Shen
linked to: Academia Sinica
linked to: Academia Sinica
linked to: Academia Sinica