Haidergarh
E1041826
Haidergarh is a town in the Barabanki district of Uttar Pradesh, India, known for its local markets and agricultural surroundings.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Haidergarh canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13075870 — 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: Haidergarh Context triple: [Barabanki district, hasTown, Haidergarh]
-
A.
Kishangarh
Kishangarh is a town and legislative assembly constituency in Rajasthan, India, known for its marble industry and distinctive miniature paintings.
-
B.
Shakargarh
Shakargarh is a town in Punjab, Pakistan, known for its agricultural surroundings and proximity to the border with India.
-
C.
Randhawa
Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
-
D.
Barwala
Barwala is a prominent town in the Hisar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
-
E.
Rikhawdar
Rikhawdar is a town in Myanmar located along the India–Myanmar border, serving as a key local hub for cross-border trade and movement.
- 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: Haidergarh Target entity description: Haidergarh is a town in the Barabanki district of Uttar Pradesh, India, known for its local markets and agricultural surroundings.
-
A.
Kishangarh
Kishangarh is a town and legislative assembly constituency in Rajasthan, India, known for its marble industry and distinctive miniature paintings.
-
B.
Shakargarh
Shakargarh is a town in Punjab, Pakistan, known for its agricultural surroundings and proximity to the border with India.
-
C.
Randhawa
Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
-
D.
Barwala
Barwala is a prominent town in the Hisar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
-
E.
Rikhawdar
Rikhawdar is a town in Myanmar located along the India–Myanmar border, serving as a key local hub for cross-border trade and movement.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
human settlement
ⓘ
town ⓘ |
| administrativeDivisionLevel | town in a district ⓘ |
| climateClassification | humid subtropical climate ⓘ |
| commonlySpokenLanguage | Awadhi ⓘ |
| country | India ⓘ |
| countrySubdivision | state of Uttar Pradesh ⓘ |
| distanceToLucknowApproxKm | about 50–70 kilometres GENERATED ⓘ |
| districtHeadquarters | Barabanki NERFINISHED ⓘ |
| governingCountry | Republic of India NERFINISHED ⓘ |
| hasAgriculturalSurroundings | true ⓘ |
| hasAreaCodeType | telephone STD code ⓘ |
| hasLocalEconomySector |
agriculture
ⓘ
retail trade ⓘ |
| hasMarketFunction | serves surrounding rural areas ⓘ |
| hasNearbyMajorCity | Lucknow NERFINISHED ⓘ |
| hasPostalCodeType | PIN ⓘ |
| hasSettlementType | urban local body or town area ⓘ |
| knownFor |
agricultural produce
ⓘ
local markets ⓘ |
| locatedIn | Barabanki district NERFINISHED ⓘ |
| locatedInAdministrativeTerritory | Uttar Pradesh NERFINISHED ⓘ |
| locatedInTimeZone | Indian Standard Time ⓘ |
| locatedOnContinent | Asia ⓘ |
| officialLanguage | Hindi ⓘ |
| partOf | Awadh region NERFINISHED ⓘ |
| primaryEconomicActivity | farming ⓘ |
| roadConnection | connected by regional roads in Barabanki district ⓘ |
| timeZoneOffset | +05:30 ⓘ |
| vehicleRegistrationCodeRegion | UP ⓘ |
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: Haidergarh Description of subject: Haidergarh is a town in the Barabanki district of Uttar Pradesh, India, known for its local markets and agricultural surroundings.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.