Ghansoli
E921197
Ghansoli is a rapidly developing residential and commercial node in Navi Mumbai, Maharashtra, known for its growing IT parks, educational institutions, and connectivity to Mumbai via rail and road.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ghansoli canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T11321947 — 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: Ghansoli Context triple: [Trans-Harbour Line, connects, Ghansoli]
-
A.
Dhrol
Dhrol is a town in the Jamnagar district of Gujarat, India, known historically as the seat of the former princely Dhrol State.
-
B.
Marvadi
Marvadi is an alternative name for the Marwari people and their Indo-Aryan language traditionally associated with the Marwar region of Rajasthan, India.
-
C.
Khandala
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
-
D.
Dharbandora
Dharbandora is a taluka (administrative subdivision) in the Indian state of Goa, located within the South Goa district.
-
E.
Dhundhari
Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
- 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: Ghansoli Target entity description: Ghansoli is a rapidly developing residential and commercial node in Navi Mumbai, Maharashtra, known for its growing IT parks, educational institutions, and connectivity to Mumbai via rail and road.
-
A.
Dhrol
Dhrol is a town in the Jamnagar district of Gujarat, India, known historically as the seat of the former princely Dhrol State.
-
B.
Marvadi
Marvadi is an alternative name for the Marwari people and their Indo-Aryan language traditionally associated with the Marwar region of Rajasthan, India.
-
C.
Khandala
Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
-
D.
Dharbandora
Dharbandora is a taluka (administrative subdivision) in the Indian state of Goa, located within the South Goa district.
-
E.
Dhundhari
Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Commercial node
ⓘ
Residential node ⓘ Suburb ⓘ |
| administrativeWard | Ghansoli ward NERFINISHED ⓘ |
| city | Navi Mumbai NERFINISHED ⓘ |
| connectedTo |
Airoli
NERFINISHED
ⓘ
Kopar Khairane NERFINISHED ⓘ Mumbai NERFINISHED ⓘ Thane NERFINISHED ⓘ Vashi NERFINISHED ⓘ |
| country | India ⓘ |
| developmentType | Planned node ⓘ |
| district | Thane district NERFINISHED ⓘ |
| feature |
Colleges
ⓘ
Healthcare facilities ⓘ Housing societies ⓘ IT offices ⓘ Retail outlets ⓘ Schools ⓘ |
| governingBody | Navi Mumbai Municipal Corporation NERFINISHED ⓘ |
| hasInfrastructure | Ghansoli railway station NERFINISHED ⓘ |
| hasLandUse |
Commercial
ⓘ
Industrial ⓘ Residential ⓘ |
| knownFor |
Commercial establishments
ⓘ
Connectivity to Mumbai ⓘ Educational institutions ⓘ IT parks ⓘ Rapid urban development ⓘ Residential complexes ⓘ |
| languageSpoken |
English
ⓘ
Hindi ⓘ Marathi ⓘ |
| locatedIn |
India
ⓘ
Maharashtra ⓘ Navi Mumbai NERFINISHED ⓘ |
| nearbyArea |
Airoli
NERFINISHED
ⓘ
Kopar Khairane NERFINISHED ⓘ Rabale NERFINISHED ⓘ |
| partOf | Navi Mumbai nodes ⓘ |
| railwayLine |
Thane–Vashi line
NERFINISHED
ⓘ
Trans-Harbour line NERFINISHED ⓘ |
| region | Konkan division NERFINISHED ⓘ |
| state | Maharashtra ⓘ |
| timezone | IST ⓘ |
| transport |
Road network
ⓘ
Suburban railway ⓘ |
| utcOffset | +5:30 ⓘ |
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: Ghansoli Description of subject: Ghansoli is a rapidly developing residential and commercial node in Navi Mumbai, Maharashtra, known for its growing IT parks, educational institutions, and connectivity to Mumbai via rail and road.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.