Kishanganj
E314951
Lok Sabha constituency
Vidhan Sabha constituency
airport
district
district headquarters
railway station
town
university campus
Kishanganj is a town and district headquarters in the northeastern part of the Indian state of Bihar, known for its significant Muslim population and proximity to the borders of West Bengal and Nepal.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Kishanganj canonical | 8 |
| Kishanganj town | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2749871 — 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: Kishanganj Context triple: [Bihar, containsCity, Kishanganj]
-
A.
Muzaffarpur
Muzaffarpur is a major city in northern India known for its litchi production and role as an important commercial and educational center in the region.
-
B.
Gorakhpur
Gorakhpur is a prominent city in northern India known as a regional commercial, transportation, and cultural hub near the border with Nepal.
-
C.
Bhagalpur
Bhagalpur is a historic city in the eastern Indian state of Bihar, known for its silk industry and location along the Ganges River.
-
D.
Hajipur
Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
-
E.
Purnia
Purnia is a major city in northeastern India known as a commercial and agricultural hub of the Seemanchal region.
- 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: Kishanganj Target entity description: Kishanganj is a town and district headquarters in the northeastern part of the Indian state of Bihar, known for its significant Muslim population and proximity to the borders of West Bengal and Nepal.
-
A.
Muzaffarpur
Muzaffarpur is a major city in northern India known for its litchi production and role as an important commercial and educational center in the region.
-
B.
Gorakhpur
Gorakhpur is a prominent city in northern India known as a regional commercial, transportation, and cultural hub near the border with Nepal.
-
C.
Bhagalpur
Bhagalpur is a historic city in the eastern Indian state of Bihar, known for its silk industry and location along the Ganges River.
-
D.
Hajipur
Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
-
E.
Purnia
Purnia is a major city in northeastern India known as a commercial and agricultural hub of the Seemanchal region.
- F. None of above. chosen
Statements (45)
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: Kishanganj Description of subject: Kishanganj is a town and district headquarters in the northeastern part of the Indian state of Bihar, known for its significant Muslim population and proximity to the borders of West Bengal and Nepal.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.