Keraniganj
E587075
Keraniganj is a suburban upazila of Dhaka, Bangladesh, known for its dense population, river-based commerce, and numerous garment and brick industries.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Keraniganj canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T6302622 — 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: Keraniganj Context triple: [Buriganga River, near, Keraniganj]
-
A.
Pabna
Pabna is a town and district in present-day Bangladesh, historically part of British India's Bengal region and known for its role in agrarian movements and regional administration.
-
B.
Jangipur
Jangipur is a town in the Murshidabad district of the Indian state of West Bengal, known for its administrative significance and proximity to the Ganges River.
-
C.
Rairangpur
Rairangpur is a town and legislative assembly constituency in the Mayurbhanj district of Odisha, India, known as the political base of President Droupadi Murmu.
-
D.
Jamalpur
Jamalpur is a city in central Bangladesh known as an important regional hub for agriculture and trade near the Jamuna River.
-
E.
Kamalpur
Kamalpur is a town in the northeastern Indian state of Tripura, known as a local administrative and commercial center in the 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: Keraniganj Target entity description: Keraniganj is a suburban upazila of Dhaka, Bangladesh, known for its dense population, river-based commerce, and numerous garment and brick industries.
-
A.
Pabna
Pabna is a town and district in present-day Bangladesh, historically part of British India's Bengal region and known for its role in agrarian movements and regional administration.
-
B.
Jangipur
Jangipur is a town in the Murshidabad district of the Indian state of West Bengal, known for its administrative significance and proximity to the Ganges River.
-
C.
Rairangpur
Rairangpur is a town and legislative assembly constituency in the Mayurbhanj district of Odisha, India, known as the political base of President Droupadi Murmu.
-
D.
Jamalpur
Jamalpur is a city in central Bangladesh known as an important regional hub for agriculture and trade near the Jamuna River.
-
E.
Kamalpur
Kamalpur is a town in the northeastern Indian state of Tripura, known as a local administrative and commercial center in the region.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
suburb
ⓘ
upazila ⓘ |
| adjacentTo |
Dhaka city
ⓘ
linked to:
Dhaka
|
| administrativeCentreOf | Keraniganj Upazila ⓘ |
| borderedBy | Buriganga River ⓘ |
| country | Bangladesh ⓘ |
| governedBy |
Upazila Parishad
ⓘ
linked to:
upazila parishad
|
| hasEconomicActivity |
river transport services
ⓘ
small-scale manufacturing ⓘ wholesale trade ⓘ |
| hasFeature |
high population density
ⓘ
industrial zones ⓘ river ports ⓘ |
| hasSettlementType | suburban area ⓘ |
| knownFor |
brick industries
ⓘ
dense population ⓘ garment industries ⓘ river-based commerce ⓘ |
| language | Bengali ⓘ |
| locatedIn | central Bangladesh ⓘ |
| majorReligion | Islam ⓘ |
| nearbyWaterBody |
Buriganga River
ⓘ
Dhaleshwari River ⓘ |
| partOf |
Dhaka District
ⓘ
Dhaka Division ⓘ |
| timeZone | Bangladesh Standard Time ⓘ |
| transportLink |
Dhaka city
ⓘ
linked to:
Dhaka
|
| transportMode |
river transport
ⓘ
road transport ⓘ |
| utcOffset | +6 ⓘ |
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: Keraniganj Description of subject: Keraniganj is a suburban upazila of Dhaka, Bangladesh, known for its dense population, river-based commerce, and numerous garment and brick industries.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.