Suffern station
E370198
Suffern station is a commuter rail stop in Suffern, New York, serving as a key terminal and transfer point on the Metro-North Railroad’s Port Jervis Line.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Suffern station canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T3312661 — 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: Suffern station Context triple: [Metro-North Railroad Port Jervis Line, hasStation, Suffern station]
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A.
Tarrytown station
Tarrytown station is a commuter rail stop on Metro-North Railroad’s Hudson Line serving the village of Tarrytown in Westchester County, New York.
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B.
Ardsley station
Ardsley station is a SEPTA Regional Rail stop in Pennsylvania that serves local commuters on the Warminster Line.
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C.
Hastings-on-Hudson station
Hastings-on-Hudson station is a Metro-North Railroad commuter rail stop on the Hudson Line serving the village of Hastings-on-Hudson in Westchester County, New York.
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D.
Bronxville station
Bronxville station is a Metro-North Railroad commuter rail stop on the Harlem Line serving the village of Bronxville in Westchester County, New York.
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E.
Chappaqua station
Chappaqua station is a Metro-North Railroad commuter rail stop on the Harlem Line serving the hamlet of Chappaqua in Westchester County, New York.
- 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: Suffern station Target entity description: Suffern station is a commuter rail stop in Suffern, New York, serving as a key terminal and transfer point on the Metro-North Railroad’s Port Jervis Line.
-
A.
Tarrytown station
Tarrytown station is a commuter rail stop on Metro-North Railroad’s Hudson Line serving the village of Tarrytown in Westchester County, New York.
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B.
Ardsley station
Ardsley station is a SEPTA Regional Rail stop in Pennsylvania that serves local commuters on the Warminster Line.
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C.
Hastings-on-Hudson station
Hastings-on-Hudson station is a Metro-North Railroad commuter rail stop on the Hudson Line serving the village of Hastings-on-Hudson in Westchester County, New York.
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D.
Bronxville station
Bronxville station is a Metro-North Railroad commuter rail stop on the Harlem Line serving the village of Bronxville in Westchester County, New York.
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E.
Chappaqua station
Chappaqua station is a Metro-North Railroad commuter rail stop on the Harlem Line serving the hamlet of Chappaqua in Westchester County, New York.
- F. None of above. chosen
Statements (44)
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: Suffern station Description of subject: Suffern station is a commuter rail stop in Suffern, New York, serving as a key terminal and transfer point on the Metro-North Railroad’s Port Jervis Line.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.