Nawanshahr
E327424
Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Nawanshahr canonical | 6 |
How this entity was disambiguated
This entity first appeared as the object of triple T2846588 — 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: Nawanshahr Context triple: [Doaba, hasMajorCity, Nawanshahr]
-
A.
Hoshiarpur
Hoshiarpur is a historic city in the Indian state of Punjab, known for its cultural heritage, educational institutions, and agricultural surroundings.
-
B.
Ferozepur
Ferozepur is a historic city in the Indian state of Punjab, known for its strategic location near the India–Pakistan border and its role in various military and independence-era events.
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C.
Rupnagar
Rupnagar is a historic town in the Indian state of Punjab, known as one of the earliest Indus Valley Civilization sites and an important regional administrative and cultural center.
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D.
Chamkaur
Chamkaur is a historic town in Punjab, India, renowned as the site of the Battle of Chamkaur where Guru Gobind Singh and his followers fought the Mughal forces.
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E.
Barnala
Barnala is a city in the Malwa region of Punjab, India, known as an administrative and commercial center for the surrounding agricultural area.
- 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: Nawanshahr Target entity description: Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
-
A.
Hoshiarpur
Hoshiarpur is a historic city in the Indian state of Punjab, known for its cultural heritage, educational institutions, and agricultural surroundings.
-
B.
Ferozepur
Ferozepur is a historic city in the Indian state of Punjab, known for its strategic location near the India–Pakistan border and its role in various military and independence-era events.
-
C.
Rupnagar
Rupnagar is a historic town in the Indian state of Punjab, known as one of the earliest Indus Valley Civilization sites and an important regional administrative and cultural center.
-
D.
Chamkaur
Chamkaur is a historic town in Punjab, India, renowned as the site of the Battle of Chamkaur where Guru Gobind Singh and his followers fought the Mughal forces.
-
E.
Barnala
Barnala is a city in the Malwa region of Punjab, India, known as an administrative and commercial center for the surrounding agricultural area.
- F. None of above. chosen
Statements (47)
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: Nawanshahr Description of subject: Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.