Peenya depot
E340580
Peenya depot is a major maintenance and stabling facility serving Bengaluru’s Namma Metro system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Peenya depot canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3246663 — 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: Peenya depot Context triple: [Namma Metro, depot, Peenya depot]
-
A.
Ukkadam Bus Terminus
Ukkadam Bus Terminus is a major bus station and transport hub serving city and intercity routes in Coimbatore, Tamil Nadu, India.
-
B.
Dhanyawadi
Dhanyawadi was an ancient city that served as one of the earliest and most important royal centers of the Arakan (Rakhine) region in present-day western Myanmar.
-
C.
Colaba
Colaba is a prominent coastal neighborhood in South Mumbai known for its historic architecture, bustling markets, and major landmarks along the Arabian Sea.
-
D.
Anand Bhavan
Anand Bhavan is a historic mansion in Prayagraj, India, that served as the ancestral home of the Nehru family and an important center of the Indian independence movement.
-
E.
Chembur
Chembur is a prominent suburban neighborhood in eastern Mumbai known for its residential areas, connectivity, and growing commercial and industrial presence.
- 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: Peenya depot Target entity description: Peenya depot is a major maintenance and stabling facility serving Bengaluru’s Namma Metro system.
-
A.
Ukkadam Bus Terminus
Ukkadam Bus Terminus is a major bus station and transport hub serving city and intercity routes in Coimbatore, Tamil Nadu, India.
-
B.
Dhanyawadi
Dhanyawadi was an ancient city that served as one of the earliest and most important royal centers of the Arakan (Rakhine) region in present-day western Myanmar.
-
C.
Colaba
Colaba is a prominent coastal neighborhood in South Mumbai known for its historic architecture, bustling markets, and major landmarks along the Arabian Sea.
-
D.
Anand Bhavan
Anand Bhavan is a historic mansion in Prayagraj, India, that served as the ancestral home of the Nehru family and an important center of the Indian independence movement.
-
E.
Chembur
Chembur is a prominent suburban neighborhood in eastern Mumbai known for its residential areas, connectivity, and growing commercial and industrial presence.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
metro depot
ⓘ
railway maintenance facility ⓘ |
| associatedWithStation | Peenya industry metro station ⓘ |
| hasFacility |
administrative buildings
ⓘ
inspection lines ⓘ maintenance sheds ⓘ stabling lines ⓘ washing plant ⓘ workshops ⓘ |
| locatedInCity | Bengaluru ⓘ |
| locatedInCountry | India ⓘ |
| locatedInIndustrialArea | Peenya industrial area ⓘ |
| locatedInState | Karnataka ⓘ |
| networkRole |
major maintenance hub for Namma Metro
ⓘ
stabling yard for Namma Metro trains ⓘ |
| partOfNetwork | Bangalore Metro Rail Corporation Limited ⓘ |
| primaryFunction |
maintenance of metro rolling stock
ⓘ
stabling of metro trains ⓘ |
| servesCity | Bengaluru urban rail transit ⓘ |
| servesCorridor |
Namma Metro Green Line
ⓘ
linked to:
Green Line (Namma Metro)
|
| servesSystem | Namma Metro ⓘ |
| usedFor |
heavy maintenance
ⓘ
routine maintenance ⓘ train cleaning ⓘ train inspection ⓘ train stabling ⓘ |
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: Peenya depot Description of subject: Peenya depot is a major maintenance and stabling facility serving Bengaluru’s Namma Metro system.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.