Pemberton Square, Boston
E15127
Pemberton Square in Boston is a historic civic space in the city's downtown area that houses key government and judicial buildings, including Massachusetts’ highest court.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Pemberton Square, Boston canonical | 1 |
| Pemberton Square, Boston, Massachusetts | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T37520 — 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: Pemberton Square, Boston Context triple: [Massachusetts Supreme Judicial Court, buildingLocation, Pemberton Square, Boston]
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A.
Porter Square
Porter Square is a bustling commercial and transit hub in northern Cambridge, Massachusetts, known for its shopping centers, restaurants, and MBTA Red Line and commuter rail station.
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B.
Inman Square
Inman Square is a vibrant, historically working-class neighborhood and commercial district in Cambridge, Massachusetts, known for its diverse restaurants, bars, and local businesses.
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C.
Assembly Square, Somerville
Assembly Square is a major mixed-use commercial and residential district in Somerville, Massachusetts, featuring shopping, dining, offices, and transit access along the Mystic River waterfront.
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D.
Palmer Square
Palmer Square is a prominent mixed-use town square in downtown Princeton, New Jersey, known for its upscale shops, restaurants, offices, and public gathering spaces adjacent to Princeton University.
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E.
Harvard Square
Harvard Square is a historic commercial and cultural center in Cambridge, Massachusetts, known for its vibrant mix of shops, restaurants, street performers, and its proximity to Harvard University.
- 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: Pemberton Square, Boston Target entity description: Pemberton Square in Boston is a historic civic space in the city's downtown area that houses key government and judicial buildings, including Massachusetts’ highest court.
-
A.
Porter Square
Porter Square is a bustling commercial and transit hub in northern Cambridge, Massachusetts, known for its shopping centers, restaurants, and MBTA Red Line and commuter rail station.
-
B.
Inman Square
Inman Square is a vibrant, historically working-class neighborhood and commercial district in Cambridge, Massachusetts, known for its diverse restaurants, bars, and local businesses.
-
C.
Assembly Square, Somerville
Assembly Square is a major mixed-use commercial and residential district in Somerville, Massachusetts, featuring shopping, dining, offices, and transit access along the Mystic River waterfront.
-
D.
Palmer Square
Palmer Square is a prominent mixed-use town square in downtown Princeton, New Jersey, known for its upscale shops, restaurants, offices, and public gathering spaces adjacent to Princeton University.
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E.
Harvard Square
Harvard Square is a historic commercial and cultural center in Cambridge, Massachusetts, known for its vibrant mix of shops, restaurants, street performers, and its proximity to Harvard University.
- F. None of above. chosen
Statements (31)
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: Pemberton Square, Boston Description of subject: Pemberton Square in Boston is a historic civic space in the city's downtown area that houses key government and judicial buildings, including Massachusetts’ highest court.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.