Ara Junction railway station
E130930
Ara Junction railway station is a major rail hub in Bihar, India, serving the city of Arrah and connecting it to key destinations across the region and country.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ara Junction railway station canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1133096 — 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: Ara Junction railway station Context triple: [Arrah, railwayStation, Ara Junction railway station]
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A.
Waverley Station
Waverley Station is the main railway hub in Edinburgh and one of the busiest and largest train stations in Scotland.
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B.
Waverley station
Waverley station is a Massachusetts Bay Transportation Authority (MBTA) commuter rail stop in Belmont, Massachusetts, serving the Fitchburg Line.
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C.
Kipling station
Kipling station is a major western transit hub in Toronto that connects the subway system with regional buses and commuter services.
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D.
Woodside station
Woodside station is a major Long Island Rail Road commuter rail stop in Queens, New York City, serving as an important transfer point between multiple LIRR branches and New York City Subway lines.
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E.
Kings Park station
Kings Park station is a commuter rail stop in Kings Park, New York, served by the Long Island Rail Road.
- 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: Ara Junction railway station Target entity description: Ara Junction railway station is a major rail hub in Bihar, India, serving the city of Arrah and connecting it to key destinations across the region and country.
-
A.
Waverley Station
Waverley Station is the main railway hub in Edinburgh and one of the busiest and largest train stations in Scotland.
-
B.
Waverley station
Waverley station is a Massachusetts Bay Transportation Authority (MBTA) commuter rail stop in Belmont, Massachusetts, serving the Fitchburg Line.
-
C.
Kipling station
Kipling station is a major western transit hub in Toronto that connects the subway system with regional buses and commuter services.
-
D.
Woodside station
Woodside station is a major Long Island Rail Road commuter rail stop in Queens, New York City, serving as an important transfer point between multiple LIRR branches and New York City Subway lines.
-
E.
Kings Park station
Kings Park station is a commuter rail stop in Kings Park, New York, served by the Long Island Rail Road.
- F. None of above. chosen
Statements (49)
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: Ara Junction railway station Description of subject: Ara Junction railway station is a major rail hub in Bihar, India, serving the city of Arrah and connecting it to key destinations across the region and country.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.