Crestmont station
E105225
Crestmont station is a SEPTA Regional Rail stop in Abington Township, Pennsylvania, serving passengers on the Warminster Line.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Crestmont station canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T591501 — 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: Crestmont station Context triple: [Warminster Line, usesStation, Crestmont station]
-
A.
Cecil B. Moore station
Cecil B. Moore station is a subway stop on Philadelphia’s Broad Street Line serving the Temple University area and surrounding North Philadelphia neighborhoods.
-
B.
Lawrence West station
Lawrence West station is a subway station on Toronto's Line 1 Yonge–University, serving the Lawrence Heights and surrounding North York area.
-
C.
Waban station
Waban station is a light rail stop on Boston's MBTA Green Line located in the Waban neighborhood of Newton, Massachusetts.
-
D.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
E.
36th Street station
36th Street station is a key SEPTA trolley stop in Philadelphia serving the Subway–Surface Trolley Lines near the University of Pennsylvania.
- 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: Crestmont station Target entity description: Crestmont station is a SEPTA Regional Rail stop in Abington Township, Pennsylvania, serving passengers on the Warminster Line.
-
A.
Cecil B. Moore station
Cecil B. Moore station is a subway stop on Philadelphia’s Broad Street Line serving the Temple University area and surrounding North Philadelphia neighborhoods.
-
B.
Lawrence West station
Lawrence West station is a subway station on Toronto's Line 1 Yonge–University, serving the Lawrence Heights and surrounding North York area.
-
C.
Waban station
Waban station is a light rail stop on Boston's MBTA Green Line located in the Waban neighborhood of Newton, Massachusetts.
-
D.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
E.
36th Street station
36th Street station is a key SEPTA trolley stop in Philadelphia serving the Subway–Surface Trolley Lines near the University of Pennsylvania.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
SEPTA Regional Rail station
ⓘ
railway station ⓘ |
| accessible | no ⓘ |
| category | SEPTA Regional Rail stations in Montgomery County, Pennsylvania ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| electrification | overhead line ⓘ |
| fareZone | Zone 3 ⓘ |
| hasService | commuter rail ⓘ |
| lineTerminusDirection |
toward Center City Philadelphia
ⓘ
toward Warminster ⓘ |
| locatedIn |
Abington Township, Montgomery County, Pennsylvania
ⓘ
surface form:
Abington Township, Pennsylvania
Montgomery County, Pennsylvania ⓘ Pennsylvania ⓘ United States of America ⓘ
surface form:
United States
|
| numberOfTracks | 2 ⓘ |
| operator |
SEPTA Regional Rail
ⓘ
surface form:
SEPTA
|
| ownedBy |
SEPTA Regional Rail
ⓘ
surface form:
SEPTA
|
| parkingAvailable | yes ⓘ |
| partOfSystem | SEPTA Regional Rail ⓘ |
| platformConfiguration | 2 side platforms ⓘ |
| servedByLine | Warminster Line ⓘ |
| serves | Crestmont neighborhood ⓘ |
| state | Pennsylvania ⓘ |
| structureType | at-grade ⓘ |
| township | Abington Township ⓘ |
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: Crestmont station Description of subject: Crestmont station is a SEPTA Regional Rail stop in Abington Township, Pennsylvania, serving passengers on the Warminster Line.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.