Patna–Mughalsarai section
E552270
The Patna–Mughalsarai section is a key railway corridor in eastern India that connects the city of Patna with Mughalsarai (now Pt. Deen Dayal Upadhyaya Junction), forming part of the busy Howrah–Delhi main line.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Patna–Mughalsarai section canonical | 4 |
| DDU–Kanpur section | 1 |
| DDU–Patna section | 1 |
| Patna–Mughalsarai railway section of Howrah–Delhi main line | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5888602 — 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: Patna–Mughalsarai section Context triple: [Ara Junction railway station, railwayLine, Patna–Mughalsarai section]
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A.
Barddhaman–Sainthia section
The Barddhaman–Sainthia section is a railway line in the Indian state of West Bengal that connects Barddhaman with Sainthia, serving several important towns and junctions along the route.
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B.
Jabalpur–Nagpur section
The Jabalpur–Nagpur section is a key railway line in central India that connects the cities of Jabalpur in Madhya Pradesh and Nagpur in Maharashtra, serving as an important route for both passenger and freight trains.
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C.
Agra–Mathura section
The Agra–Mathura section is a key railway line in northern India that connects the historic cities of Agra and Mathura and forms part of important regional and long-distance rail routes.
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D.
Kanpur–Jhansi line
The Kanpur–Jhansi line is a key railway route in northern India that connects the industrial city of Kanpur with Jhansi, facilitating major passenger and freight movement across Uttar Pradesh and beyond.
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E.
Meerut–Muzaffarnagar–Saharanpur section
The Meerut–Muzaffarnagar–Saharanpur section is a key railway corridor in northern India that connects major cities in western Uttar Pradesh and forms part of important regional and long-distance routes.
- 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: Patna–Mughalsarai section Target entity description: The Patna–Mughalsarai section is a key railway corridor in eastern India that connects the city of Patna with Mughalsarai (now Pt. Deen Dayal Upadhyaya Junction), forming part of the busy Howrah–Delhi main line.
-
A.
Barddhaman–Sainthia section
The Barddhaman–Sainthia section is a railway line in the Indian state of West Bengal that connects Barddhaman with Sainthia, serving several important towns and junctions along the route.
-
B.
Jabalpur–Nagpur section
The Jabalpur–Nagpur section is a key railway line in central India that connects the cities of Jabalpur in Madhya Pradesh and Nagpur in Maharashtra, serving as an important route for both passenger and freight trains.
-
C.
Agra–Mathura section
The Agra–Mathura section is a key railway line in northern India that connects the historic cities of Agra and Mathura and forms part of important regional and long-distance rail routes.
-
D.
Kanpur–Jhansi line
The Kanpur–Jhansi line is a key railway route in northern India that connects the industrial city of Kanpur with Jhansi, facilitating major passenger and freight movement across Uttar Pradesh and beyond.
-
E.
Meerut–Muzaffarnagar–Saharanpur section
The Meerut–Muzaffarnagar–Saharanpur section is a key railway corridor in northern India that connects major cities in western Uttar Pradesh and forms part of important regional and long-distance routes.
- F. None of above. chosen
Statements (47)
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: Patna–Mughalsarai section Description of subject: The Patna–Mughalsarai section is a key railway corridor in eastern India that connects the city of Patna with Mughalsarai (now Pt. Deen Dayal Upadhyaya Junction), forming part of the busy Howrah–Delhi main line.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
Ara Junction railway station
→
railwayLine
→
Patna–Mughalsarai railway section of Howrah–Delhi main line
ⓘ
linked to: Patna–Mughalsarai section
subject linked to:
Deen Dayal Upadhyaya railway station (Mughalsarai Junction renamed)
linked to: Patna–Mughalsarai section
subject linked to:
Deen Dayal Upadhyaya railway station (Mughalsarai Junction renamed)
linked to: Patna–Mughalsarai section
subject linked to:
ARA