Algapur
E820052
Algapur is a small town in the Hailakandi district of the Indian state of Assam.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Algapur canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9770757 — 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: Algapur Context triple: [Hailakandi district, hasTown, Algapur]
-
A.
Partapur
Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
-
B.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
-
C.
Brahmapuri
Brahmapuri is a town in Maharashtra, India, known as one of the important urban centers within Chandrapur district.
-
D.
Sohagpur
Sohagpur is a town in the Narmadapuram district of Madhya Pradesh, India, known as a local commercial center and access point to nearby forested and wildlife areas.
-
E.
Gajsinghpur
Gajsinghpur is a small town in the northern Indian state of Rajasthan, near the India–Pakistan border, known primarily as a local agricultural and trading center.
- 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: Algapur Target entity description: Algapur is a small town in the Hailakandi district of the Indian state of Assam.
-
A.
Partapur
Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
-
B.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
-
C.
Brahmapuri
Brahmapuri is a town in Maharashtra, India, known as one of the important urban centers within Chandrapur district.
-
D.
Sohagpur
Sohagpur is a town in the Narmadapuram district of Madhya Pradesh, India, known as a local commercial center and access point to nearby forested and wildlife areas.
-
E.
Gajsinghpur
Gajsinghpur is a small town in the northern Indian state of Rajasthan, near the India–Pakistan border, known primarily as a local agricultural and trading center.
- F. None of above. chosen
Statements (35)
| Predicate | Object |
|---|---|
| instanceOf | town ⓘ |
| callingCodeCountry | +91 ⓘ |
| continent | Asia ⓘ |
| country | India ⓘ |
| countryCapital | New Delhi NERFINISHED ⓘ |
| countrySubdivision | state of Assam ⓘ |
| districtHeadquarters | Hailakandi NERFINISHED ⓘ |
| drivesOnSide | left ⓘ |
| governedBy |
Government of Assam
NERFINISHED
ⓘ
Government of India NERFINISHED ⓘ |
| hasClimate | humid subtropical climate ⓘ |
| hasLegislatureCountry | Parliament of India NERFINISHED ⓘ |
| hasLowerHouseCountry | Lok Sabha NERFINISHED ⓘ |
| hasSettlementType | small town ⓘ |
| hasUpperHouseCountry | Rajya Sabha NERFINISHED ⓘ |
| locatedIn |
Assam
ⓘ
Hailakandi district NERFINISHED ⓘ |
| locatedInAdministrativeTerritory |
Assam
NERFINISHED
ⓘ
Hailakandi district NERFINISHED ⓘ |
| locatedInCountry | India ⓘ |
| locatedInDistrict | Hailakandi district NERFINISHED ⓘ |
| locatedInGeographicalRegion | Indian subcontinent NERFINISHED ⓘ |
| locatedInRegion | Northeast India NERFINISHED ⓘ |
| locatedInState | Assam NERFINISHED ⓘ |
| locatedInTimeZone | Indian Standard Time ⓘ |
| locatedOnPlanet | Earth NERFINISHED ⓘ |
| officialLanguageCountry |
English
NERFINISHED
ⓘ
Hindi NERFINISHED ⓘ |
| officialLanguageState | Assamese NERFINISHED ⓘ |
| partOf | Barak Valley region NERFINISHED ⓘ |
| postalSystemCountry | India Post NERFINISHED ⓘ |
| stateCapital | Dispur NERFINISHED ⓘ |
| stateLegislature | Assam Legislative Assembly NERFINISHED ⓘ |
| timeZoneOffset | +05:30 ⓘ |
| usesCurrency | Indian rupee NERFINISHED ⓘ |
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: Algapur Description of subject: Algapur is a small town in the Hailakandi district of the Indian state of Assam.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.