Tulsipur
E321963
Tulsipur is a growing urban center in western Nepal known for its role as a commercial and transportation hub in the Dang District.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Tulsipur canonical | 12 |
How this entity was disambiguated
This entity first appeared as the object of triple T3059453 — 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: Tulsipur Context triple: [Province 5, hasMajorCity, Tulsipur]
-
A.
Gorakhpur
Gorakhpur is a prominent city in northern India known as a regional commercial, transportation, and cultural hub near the border with Nepal.
-
B.
Bhagyanagar
Bhagyanagar is an old historical name for the Indian city now known as Hyderabad.
-
C.
Hazaribagh
Hazaribagh is a town in the Indian state of Jharkhand known for its scenic hills, pleasant climate, and proximity to Hazaribagh National Park.
-
D.
Rampur
Rampur is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
E.
Rampur
Rampur is a prominent city in the Rohilkhand region of Uttar Pradesh, India, known historically for its princely state heritage and distinctive Rampuri culture.
- 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: Tulsipur Target entity description: Tulsipur is a growing urban center in western Nepal known for its role as a commercial and transportation hub in the Dang District.
-
A.
Gorakhpur
Gorakhpur is a prominent city in northern India known as a regional commercial, transportation, and cultural hub near the border with Nepal.
-
B.
Bhagyanagar
Bhagyanagar is an old historical name for the Indian city now known as Hyderabad.
-
C.
Hazaribagh
Hazaribagh is a town in the Indian state of Jharkhand known for its scenic hills, pleasant climate, and proximity to Hazaribagh National Park.
-
D.
Rampur
Rampur is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
E.
Rampur
Rampur is a prominent city in the Rohilkhand region of Uttar Pradesh, India, known historically for its princely state heritage and distinctive Rampuri culture.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
city
ⓘ
urban municipality ⓘ |
| administrativeDivision | Dang District ⓘ |
| administrativeRole | local administrative center in Dang District ⓘ |
| climate | subtropical ⓘ |
| connectedBy |
East–West Highway (via feeder roads)
ⓘ
regional road network of Dang District ⓘ |
| country | Nepal ⓘ |
| economicActivity |
agricultural produce collection and distribution
ⓘ
retail trade ⓘ transport services ⓘ wholesale trade ⓘ |
| governingBody | Tulsipur Sub-Metropolitan City Office ⓘ |
| hasFacility |
banks
ⓘ
bus park ⓘ colleges ⓘ hospitals ⓘ schools ⓘ |
| hasLanguage |
Awadhi
ⓘ
Nepali ⓘ Tharu ⓘ |
| hasMarket | wholesale agricultural markets ⓘ |
| hasNearbyAirport | Dang Airport ⓘ |
| hasPostalService | post office in Tulsipur ⓘ |
| hasReligiousSite |
Buddhist sites
ⓘ
Hindu temples ⓘ |
| hasService |
educational services
ⓘ
government offices ⓘ health services ⓘ |
| locatedIn |
Dang District
ⓘ
Lumbini Province ⓘ western Nepal ⓘ |
| nearbyFeature |
Dang Valley
ⓘ
Siwalik Hills ⓘ
linked to:
Shivalik Hills
|
| partOf | Inner Terai region of Nepal ⓘ |
| populationTrend | growing ⓘ |
| regionImportance | major urban center of Dang District ⓘ |
| role |
commercial hub
ⓘ
transportation hub ⓘ |
| servesAs |
market center for Dang Valley
ⓘ
service center for surrounding rural municipalities ⓘ |
| timeZone | Nepal Time ⓘ |
| transportMode |
domestic air transport (via Dang Airport)
ⓘ
road transport ⓘ |
| urbanStatus | growing urban center ⓘ |
| utcOffset | +5:45 ⓘ |
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: Tulsipur Description of subject: Tulsipur is a growing urban center in western Nepal known for its role as a commercial and transportation hub in the Dang District.
Referenced by (12)
Full triples — surface form annotated when it differs from this entity's canonical label.