Dr. Ram Manohar Lohia National Law University
E133974
Dr. Ram Manohar Lohia National Law University is a premier public law school in India known for its integrated law programs and research in legal studies.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dr. Ram Manohar Lohia National Law University canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1026946 — 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: Dr. Ram Manohar Lohia National Law University Context triple: [Lucknow, hasEducationalInstitution, Dr. Ram Manohar Lohia National Law University]
-
A.
Dr. Bhimrao Ambedkar University
Dr. Bhimrao Ambedkar University is a public state university in Agra, India, known for offering a wide range of undergraduate and postgraduate programs across arts, science, commerce, and professional disciplines.
-
B.
University of Delhi
The University of Delhi is a premier public central university in India, renowned for its academic excellence and wide range of undergraduate and postgraduate programs.
-
C.
Government Law College Mumbai
Government Law College Mumbai is one of India’s oldest and most prestigious law schools, renowned for producing many prominent leaders, lawyers, and freedom fighters.
-
D.
University of Lucknow
The University of Lucknow is a public state university in Lucknow, India, known for its wide range of undergraduate and postgraduate programs and its historic campus.
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E.
St. Stephen's College, University of Delhi
St. Stephen's College, University of Delhi is one of India's most prestigious and historic liberal arts and sciences colleges, renowned for its rigorous academics and influential alumni in politics, business, and public life.
- 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: Dr. Ram Manohar Lohia National Law University Target entity description: Dr. Ram Manohar Lohia National Law University is a premier public law school in India known for its integrated law programs and research in legal studies.
-
A.
Dr. Bhimrao Ambedkar University
Dr. Bhimrao Ambedkar University is a public state university in Agra, India, known for offering a wide range of undergraduate and postgraduate programs across arts, science, commerce, and professional disciplines.
-
B.
University of Delhi
The University of Delhi is a premier public central university in India, renowned for its academic excellence and wide range of undergraduate and postgraduate programs.
-
C.
Government Law College Mumbai
Government Law College Mumbai is one of India’s oldest and most prestigious law schools, renowned for producing many prominent leaders, lawyers, and freedom fighters.
-
D.
University of Lucknow
The University of Lucknow is a public state university in Lucknow, India, known for its wide range of undergraduate and postgraduate programs and its historic campus.
-
E.
St. Stephen's College, University of Delhi
St. Stephen's College, University of Delhi is one of India's most prestigious and historic liberal arts and sciences colleges, renowned for its rigorous academics and influential alumni in politics, business, and public life.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
Law school
ⓘ
National law university ⓘ Public university ⓘ |
| academicDiscipline | Law ⓘ |
| academicFocusArea |
Constitutional law
ⓘ
Corporate law ⓘ Criminal law ⓘ Human rights law ⓘ |
| admissionTest | Common Law Admission Test ⓘ |
| affiliation |
Bar Council of India
ⓘ
University Grants Commission ⓘ |
| country | India ⓘ |
| establishedBy | Government of Uttar Pradesh Act ⓘ |
| focusesOn |
Legal education
ⓘ
Legal research ⓘ |
| fundingType | Public ⓘ |
| governedBy | Government of Uttar Pradesh ⓘ |
| hasActivity |
Legal aid clinic
ⓘ
Moot court competitions ⓘ Research seminars ⓘ |
| hasCampusType | Urban ⓘ |
| hasFacility |
Auditorium
ⓘ
Computer centre ⓘ Hostels ⓘ Library ⓘ Moot court hall ⓘ |
| knownFor |
Integrated law programs
ⓘ
Research in legal studies ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn |
Lucknow
ⓘ
Uttar Pradesh ⓘ |
| memberOf | Consortium of National Law Universities ⓘ |
| namedAfter | Ram Manohar Lohia ⓘ |
| offersDegreeLevel |
Doctoral
ⓘ
Postgraduate ⓘ Undergraduate ⓘ |
| offersProgram |
B.A. LL.B. (Hons.)
ⓘ
LL.M. ⓘ Ph.D. in Law ⓘ |
| programStructure | Integrated undergraduate law program ⓘ |
| regionServed | India ⓘ |
| sector |
Higher education
ⓘ
Public legal education ⓘ |
| shortName |
Dr. RMLNLU
ⓘ
RMLNLU ⓘ |
| type | Residential university ⓘ |
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: Dr. Ram Manohar Lohia National Law University Description of subject: Dr. Ram Manohar Lohia National Law University is a premier public law school in India known for its integrated law programs and research in legal studies.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.