LSM
E579615
LSM is an undergraduate dual-degree program at the University of Pennsylvania that integrates rigorous training in life sciences with business and management education.
All labels observed (1)
| Label | Occurrences |
|---|---|
| LSM canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6251206 — 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: LSM Context triple: [Vagelos Life Sciences and Management Program, shortName, LSM]
-
A.
LSMD
LSMD is the ICAO airport code assigned to Dübendorf Air Base in Switzerland.
-
B.
B-tree
A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
-
C.
LSN
LSN is the National Rail station code for Livingston North railway station in West Lothian, Scotland.
-
D.
HSM
A Hardware Security Module (HSM) is a dedicated, tamper-resistant device used to securely generate, store, and manage cryptographic keys and perform sensitive cryptographic operations.
-
E.
LSI
LSI is the three-letter IATA airport code for Sumburgh Airport in the Shetland Islands, Scotland.
- 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: LSM Target entity description: LSM is an undergraduate dual-degree program at the University of Pennsylvania that integrates rigorous training in life sciences with business and management education.
-
A.
LSMD
LSMD is the ICAO airport code assigned to Dübendorf Air Base in Switzerland.
-
B.
B-tree
A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
-
C.
LSN
LSN is the National Rail station code for Livingston North railway station in West Lothian, Scotland.
-
D.
HSM
A Hardware Security Module (HSM) is a dedicated, tamper-resistant device used to securely generate, store, and manage cryptographic keys and perform sensitive cryptographic operations.
-
E.
LSI
LSI is the three-letter IATA airport code for Sumburgh Airport in the Shetland Islands, Scotland.
- F. None of above. chosen
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf |
academic program
ⓘ
undergraduate dual-degree program ⓘ |
| abbreviation | LSM ⓘ |
| academicLevel | undergraduate ⓘ |
| componentSchool |
College of Arts and Sciences
ⓘ
The Wharton School ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| degreeType | dual degree ⓘ |
| fieldOfStudy |
biology
ⓘ
business ⓘ life sciences ⓘ management ⓘ |
| focusesOn |
commercialization of scientific innovation
ⓘ
intersection of science and business ⓘ management in life science industries ⓘ |
| fullName | Vagelos Program in Life Sciences and Management ⓘ |
| hasAdmissionLevel | highly selective ⓘ |
| hasCurriculumComponent |
business and management education
ⓘ
integrated coursework across science and business ⓘ rigorous training in life sciences ⓘ |
| integratesDiscipline |
business
ⓘ
life sciences ⓘ management ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn |
Philadelphia, Pennsylvania
ⓘ
linked to:
Philadelphia
|
| offeredBy | University of Pennsylvania ⓘ |
| offersDegree |
Bachelor of Arts in a life science major
ⓘ
Bachelor of Science in Economics ⓘ |
| preparesFor |
careers in biotechnology
ⓘ
careers in healthcare management ⓘ careers in life science entrepreneurship ⓘ careers in pharmaceuticals ⓘ |
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: LSM Description of subject: LSM is an undergraduate dual-degree program at the University of Pennsylvania that integrates rigorous training in life sciences with business and management education.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.