31st Street NW
E636140
31st Street NW is a north–south street in Washington, D.C.’s Georgetown neighborhood, lined with historic row houses, shops, and landmarks.
All labels observed (1)
| Label | Occurrences |
|---|---|
| 31st Street NW canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6331746 — 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: 31st Street NW Context triple: [Q Street NW, crosses, 31st Street NW]
-
A.
23rd Street NW
23rd Street NW is a major north–south thoroughfare in Washington, D.C., running through the Foggy Bottom area near the U.S. Department of State and George Washington University.
-
B.
25th Street NW
25th Street NW is a north–south street in the Northwest quadrant of Washington, D.C., running through residential and commercial areas near the city’s central neighborhoods.
-
C.
21st Street NW
21st Street NW is a north–south street in Washington, D.C.’s Northwest quadrant that runs through several central neighborhoods near downtown and the Foggy Bottom area.
-
D.
17th Street NW
17th Street NW is a major north–south thoroughfare in Washington, D.C., running through downtown and connecting key federal, commercial, and residential areas near the White House.
-
E.
19th Street NW
19th Street NW is a major north–south street in Washington, D.C., running through several neighborhoods including the Dupont Circle area.
- 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: 31st Street NW Target entity description: 31st Street NW is a north–south street in Washington, D.C.’s Georgetown neighborhood, lined with historic row houses, shops, and landmarks.
-
A.
23rd Street NW
23rd Street NW is a major north–south thoroughfare in Washington, D.C., running through the Foggy Bottom area near the U.S. Department of State and George Washington University.
-
B.
25th Street NW
25th Street NW is a north–south street in the Northwest quadrant of Washington, D.C., running through residential and commercial areas near the city’s central neighborhoods.
-
C.
21st Street NW
21st Street NW is a north–south street in Washington, D.C.’s Northwest quadrant that runs through several central neighborhoods near downtown and the Foggy Bottom area.
-
D.
17th Street NW
17th Street NW is a major north–south thoroughfare in Washington, D.C., running through downtown and connecting key federal, commercial, and residential areas near the White House.
-
E.
19th Street NW
19th Street NW is a major north–south street in Washington, D.C., running through several neighborhoods including the Dupont Circle area.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
road in Washington, D.C.
ⓘ
street ⓘ |
| hasBuildingType | row houses ⓘ |
| hasDirection | north–south ⓘ |
| hasEconomicActivity |
dining
ⓘ
retail ⓘ |
| hasFeature |
landmarks
ⓘ
shops ⓘ |
| hasHistoricArchitecture |
19th-century row houses
ⓘ
early 20th-century commercial buildings ⓘ |
| hasLandUse |
commercial
ⓘ
residential ⓘ |
| hasNeighborhoodCharacter | historic ⓘ |
| hasOrientation |
parallel to 30th Street NW
ⓘ
parallel to 32nd Street NW ⓘ |
| hasPostalCode | 20007 ⓘ |
| hasStreetscape |
brick sidewalks
ⓘ
tree-lined blocks ⓘ |
| hasTransportationMode |
automobile
ⓘ
bicycle ⓘ pedestrian ⓘ |
| hasUrbanContext | historic urban neighborhood street ⓘ |
| hasZoning | mixed-use ⓘ |
| locatedIn |
Georgetown
ⓘ
Northwest Quadrant, Washington, D.C. ⓘ
linked to:
Northwest Washington, D.C.
United States ⓘ
linked to:
United States of America
Washington, D.C. ⓘ |
| partOf | Georgetown Historic District ⓘ |
| usesAddressSystem | Washington, D.C. quadrant-based addressing ⓘ |
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: 31st Street NW Description of subject: 31st Street NW is a north–south street in Washington, D.C.’s Georgetown neighborhood, lined with historic row houses, shops, and landmarks.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.