Ambarnath
E710071
Ambarnath is a suburban city in the Thane district of Maharashtra, India, known for its historic Shiva temple and its role as a residential and industrial hub near Mumbai.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ambarnath canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8002399 — 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: Ambarnath Context triple: [Mumbai Metropolitan Region, includesCity, Ambarnath]
-
A.
Baijnath
Baijnath is a historic town in Himachal Pradesh, India, renowned for its ancient Shiva temple and scenic Himalayan surroundings.
-
B.
Mukteshwar
Mukteshwar is a scenic hill town in Uttarakhand, India, known for its panoramic Himalayan views, fruit orchards, and tranquil forests.
-
C.
Rudrapur
Rudrapur is a town in the Indian state of Uttar Pradesh, known as a local commercial and agricultural center in the region.
-
D.
Bageshwar
Bageshwar is a town and district headquarters in the Kumaon region of Uttarakhand, India, known for its religious significance and scenic Himalayan surroundings.
-
E.
Arambagh
Arambagh is a town and administrative subdivision in the Hooghly district of West Bengal, India, known as a local commercial and transportation hub for the surrounding rural areas.
- 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: Ambarnath Target entity description: Ambarnath is a suburban city in the Thane district of Maharashtra, India, known for its historic Shiva temple and its role as a residential and industrial hub near Mumbai.
-
A.
Baijnath
Baijnath is a historic town in Himachal Pradesh, India, renowned for its ancient Shiva temple and scenic Himalayan surroundings.
-
B.
Mukteshwar
Mukteshwar is a scenic hill town in Uttarakhand, India, known for its panoramic Himalayan views, fruit orchards, and tranquil forests.
-
C.
Rudrapur
Rudrapur is a town in the Indian state of Uttar Pradesh, known as a local commercial and agricultural center in the region.
-
D.
Bageshwar
Bageshwar is a town and district headquarters in the Kumaon region of Uttarakhand, India, known for its religious significance and scenic Himalayan surroundings.
-
E.
Arambagh
Arambagh is a town and administrative subdivision in the Hooghly district of West Bengal, India, known as a local commercial and transportation hub for the surrounding rural areas.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf | city ⓘ |
| country | India ⓘ |
| district | Thane district NERFINISHED ⓘ |
| governingBody | Ambarnath Municipal Council NERFINISHED ⓘ |
| hasIndustrialArea | MIDC industrial area NERFINISHED ⓘ |
| hasRailwayStation | Ambarnath railway station NERFINISHED ⓘ |
| hasReligiousSite | Ambarnath Shiva Temple NERFINISHED ⓘ |
| knownFor |
historic Shiva temple
ⓘ
industrial hub ⓘ residential hub ⓘ |
| locatedIn |
India
ⓘ
Maharashtra ⓘ Thane district NERFINISHED ⓘ |
| locatedNear |
Badlapur
NERFINISHED
ⓘ
Kalyan NERFINISHED ⓘ Ulhasnagar NERFINISHED ⓘ |
| locatedOn | banks of Waldhuni river ⓘ |
| officialLanguage | Marathi NERFINISHED ⓘ |
| partOf | Mumbai Metropolitan Region NERFINISHED ⓘ |
| postalCodeType | PIN ⓘ |
| proximityTo | Mumbai NERFINISHED ⓘ |
| railwayLine | Central line of Mumbai Suburban Railway NERFINISHED ⓘ |
| region | Western India NERFINISHED ⓘ |
| religionSiteType | Hindu temple ⓘ |
| state | Maharashtra ⓘ |
| templeAlternateName | Ambreshwar Temple NERFINISHED ⓘ |
| templeDeity | Shiva NERFINISHED ⓘ |
| templeName | Ambarnath Shiva Temple NERFINISHED ⓘ |
| timeZone | Indian Standard Time ⓘ |
| UTCOffset | +05:30 ⓘ |
| vehicleRegistrationCode | MH-05 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: Ambarnath Description of subject: Ambarnath is a suburban city in the Thane district of Maharashtra, India, known for its historic Shiva temple and its role as a residential and industrial hub near Mumbai.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.