Pusa, Bihar
E245274
Pusa, Bihar is a town in the Samastipur district of Bihar, India, best known as a historic center of agricultural education and research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Pusa, Bihar canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2205650 — 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: Pusa, Bihar Context triple: [Indian Agricultural Research Institute, foundingLocation, Pusa, Bihar]
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A.
Benipatti
Benipatti is a town in the Madhubani district of the Indian state of Bihar, known for its rural setting and proximity to the region’s famed Mithila culture.
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B.
Bharatpur
Bharatpur is a historic city in eastern Rajasthan, India, known for the Keoladeo National Park, a UNESCO World Heritage-listed bird sanctuary.
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C.
Baharampur
Baharampur is a major town and administrative center in the Murshidabad district of the Indian state of West Bengal, known for its historical significance and regional commerce.
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D.
Pandua
Pandua is a historic city in present-day West Bengal, India, that served as an important political and cultural center during the medieval Bengal Sultanate.
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E.
Dindori
Dindori is a town and administrative center in the central Indian state of Madhya Pradesh, known for its surrounding forests, tribal communities, and proximity to natural and cultural heritage sites.
- 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: Pusa, Bihar Target entity description: Pusa, Bihar is a town in the Samastipur district of Bihar, India, best known as a historic center of agricultural education and research.
-
A.
Benipatti
Benipatti is a town in the Madhubani district of the Indian state of Bihar, known for its rural setting and proximity to the region’s famed Mithila culture.
-
B.
Bharatpur
Bharatpur is a historic city in eastern Rajasthan, India, known for the Keoladeo National Park, a UNESCO World Heritage-listed bird sanctuary.
-
C.
Baharampur
Baharampur is a major town and administrative center in the Murshidabad district of the Indian state of West Bengal, known for its historical significance and regional commerce.
-
D.
Pandua
Pandua is a historic city in present-day West Bengal, India, that served as an important political and cultural center during the medieval Bengal Sultanate.
-
E.
Dindori
Dindori is a town and administrative center in the central Indian state of Madhya Pradesh, known for its surrounding forests, tribal communities, and proximity to natural and cultural heritage sites.
- F. None of above. chosen
Statements (40)
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: Pusa, Bihar Description of subject: Pusa, Bihar is a town in the Samastipur district of Bihar, India, best known as a historic center of agricultural education and research.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.