Wadala Depot
E271218
Wadala Depot is a key station and maintenance hub on the Mumbai Monorail network, serving the Wadala area of Mumbai, India.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Wadala Depot canonical | 7 |
| BEST Wadala Depot | 1 |
| Wadala Depot area | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2486659 — 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: Wadala Depot Context triple: [Mumbai Monorail, intermediateStation, Wadala Depot]
-
A.
Bala station
Bala station is a regional rail stop in the Bala Cynwyd neighborhood of Philadelphia, Pennsylvania, served by SEPTA's Cynwyd Line.
-
B.
Jubany Station
Jubany Station is an Argentine Antarctic research base located on King George Island near the Antarctic Peninsula, supporting scientific studies in fields such as glaciology, biology, and atmospheric science.
-
C.
Damanhur railway station
Damanhur railway station is a regional train station in the city of Damanhur, Egypt, serving as a stop on the main line between Alexandria and Cairo.
-
D.
Liluah railway yard
Liluah railway yard is a major railway maintenance and marshalling facility near Howrah in West Bengal, India, known for its workshops and rolling stock operations.
-
E.
Darien station
Darien station is a commuter rail stop on the Metro-North Railroad's New Haven Line serving the town of Darien, Connecticut.
- 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: Wadala Depot Target entity description: Wadala Depot is a key station and maintenance hub on the Mumbai Monorail network, serving the Wadala area of Mumbai, India.
-
A.
Bala station
Bala station is a regional rail stop in the Bala Cynwyd neighborhood of Philadelphia, Pennsylvania, served by SEPTA's Cynwyd Line.
-
B.
Jubany Station
Jubany Station is an Argentine Antarctic research base located on King George Island near the Antarctic Peninsula, supporting scientific studies in fields such as glaciology, biology, and atmospheric science.
-
C.
Damanhur railway station
Damanhur railway station is a regional train station in the city of Damanhur, Egypt, serving as a stop on the main line between Alexandria and Cairo.
-
D.
Liluah railway yard
Liluah railway yard is a major railway maintenance and marshalling facility near Howrah in West Bengal, India, known for its workshops and rolling stock operations.
-
E.
Darien station
Darien station is a commuter rail stop on the Metro-North Railroad's New Haven Line serving the town of Darien, Connecticut.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
monorail station
ⓘ
railway maintenance depot ⓘ transport infrastructure ⓘ |
| country | India ⓘ |
| hasFunction |
maintenance hub
ⓘ
passenger station ⓘ |
| hasPlatformType | elevated ⓘ |
| isKeyStationOn | Mumbai Monorail ⓘ |
| isMaintenanceHubOn | Mumbai Monorail ⓘ |
| locatedIn |
India
ⓘ
Maharashtra ⓘ Mumbai ⓘ Wadala ⓘ |
| openingStatus | operational ⓘ |
| partOf | Mumbai Monorail ⓘ |
| railNetwork |
Mumbai Monorail network
ⓘ
linked to:
Mumbai Monorail
|
| serves |
Mumbai Monorail network
ⓘ
Wadala area ⓘ |
| servesAs |
key station on the Mumbai Monorail network
ⓘ
maintenance hub on the Mumbai Monorail network ⓘ |
| state | Maharashtra ⓘ |
| transportMode | monorail ⓘ |
| usedFor |
maintenance of monorail rolling stock
ⓘ
operations control support ⓘ stabling of monorail trains ⓘ |
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: Wadala Depot Description of subject: Wadala Depot is a key station and maintenance hub on the Mumbai Monorail network, serving the Wadala area of Mumbai, India.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Wadala Depot
linked to: Wadala Depot