Sikandarpur
E710016
Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sikandarpur canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7842524 — 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.
Target entity: Sikandarpur Context triple: [Yellow Line (Delhi Metro), hasStation, Sikandarpur]
-
A.
Rajanpur
Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
-
B.
Rajpura
Rajpura is an industrial and commercial town in the Patiala district of Punjab, India, known for its manufacturing base and strategic location as a transport hub.
-
C.
Akbarpur
Akbarpur is a town in the Indian state of Uttar Pradesh known as the birthplace of socialist leader Ram Manohar Lohia.
-
D.
Shikohabad
Shikohabad is a city in the Indian state of Uttar Pradesh, known for its location along major road and rail routes and its role as a regional commercial center.
-
E.
Sheopur
Sheopur is a town and district headquarters in the northern part of the Indian state of Madhya Pradesh, known for its proximity to the Kuno National Park and its largely rural, agrarian surroundings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Sikandarpur Target entity description: Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
-
A.
Rajanpur
Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
-
B.
Rajpura
Rajpura is an industrial and commercial town in the Patiala district of Punjab, India, known for its manufacturing base and strategic location as a transport hub.
-
C.
Akbarpur
Akbarpur is a town in the Indian state of Uttar Pradesh known as the birthplace of socialist leader Ram Manohar Lohia.
-
D.
Shikohabad
Shikohabad is a city in the Indian state of Uttar Pradesh, known for its location along major road and rail routes and its role as a regional commercial center.
-
E.
Sheopur
Sheopur is a town and district headquarters in the northern part of the Indian state of Madhya Pradesh, known for its proximity to the Kuno National Park and its largely rural, agrarian surroundings.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf | Delhi Metro station ⓘ |
| adjacentStationOnYellowLine |
Guru Dronacharya
NERFINISHED
ⓘ
MG Road NERFINISHED ⓘ |
| category |
Delhi Metro Yellow Line stations
NERFINISHED
ⓘ
Railway stations in Gurgaon district ⓘ |
| connectsTo |
Gurugram Cyber City area
NERFINISHED
ⓘ
MG Road area ⓘ |
| country | India ⓘ |
| fareSystem |
Delhi Metro smart card compatible
ⓘ
Delhi Metro token system ⓘ |
| hasFacility |
elevators
ⓘ
escalators ⓘ feeder bus connections ⓘ parking ⓘ |
| hasFunction | interchange station ⓘ |
| hasInterchangeWith |
Rapid Metro Gurgaon
NERFINISHED
ⓘ
Rapid Metro system NERFINISHED ⓘ |
| line | Yellow Line NERFINISHED ⓘ |
| locatedIn |
Gurugram
NERFINISHED
ⓘ
Haryana NERFINISHED ⓘ India ⓘ |
| locatedInMetroSystem | Delhi Metro NERFINISHED ⓘ |
| operator | Delhi Metro Rail Corporation NERFINISHED ⓘ |
| partOf | Delhi Metro NERFINISHED ⓘ |
| railNetwork | Delhi Metro network NERFINISHED ⓘ |
| servedBy |
Delhi Metro
NERFINISHED
ⓘ
Rapid Metro Gurgaon NERFINISHED ⓘ |
| serves | Gurugram NERFINISHED ⓘ |
| structureType | elevated ⓘ |
| transportMode | metro ⓘ |
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.
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.
Subject: Sikandarpur Description of subject: Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.