Sennaya Square
E200437
Sennaya Square is a historic public square in central Saint Petersburg, Russia, long known as a bustling commercial hub and a setting in several of Dostoevsky’s works.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Sennaya Square canonical | 10 |
| Sennaya Ploshchad | 2 |
| Ploshchad Sverdlova | 1 |
| Sennaya Square area | 1 |
| «Сенная площадь» | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1752149 — 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: Sennaya Square Context triple: [Admiralteysky District of Saint Petersburg, contains, Sennaya Square]
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A.
Suvorov Square
Suvorov Square is a historic public square in Saint Petersburg, Russia, known for its prominent monument to General Alexander Suvorov and its location near major Neva River embankments and cultural landmarks.
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B.
Borovitskaya Square
Borovitskaya Square is a central Moscow square located by the Kremlin, serving as a key traffic and historical junction near several important cultural and governmental sites.
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C.
Vosstaniya Square
Vosstaniya Square is a major public square and transport hub in central Saint Petersburg, Russia, known for its proximity to Moskovsky railway station and busy Nevsky Prospekt.
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D.
Alexander Nevsky Square
Alexander Nevsky Square is a major public square and transport hub in Saint Petersburg, Russia, named after the medieval prince and saint Alexander Nevsky.
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E.
Lubyanka Square, Moscow
Lubyanka Square, Moscow is a central Moscow square historically known as the site of Russia’s main security service headquarters and the former KGB prison.
- 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: Sennaya Square Target entity description: Sennaya Square is a historic public square in central Saint Petersburg, Russia, long known as a bustling commercial hub and a setting in several of Dostoevsky’s works.
-
A.
Suvorov Square
Suvorov Square is a historic public square in Saint Petersburg, Russia, known for its prominent monument to General Alexander Suvorov and its location near major Neva River embankments and cultural landmarks.
-
B.
Borovitskaya Square
Borovitskaya Square is a central Moscow square located by the Kremlin, serving as a key traffic and historical junction near several important cultural and governmental sites.
-
C.
Vosstaniya Square
Vosstaniya Square is a major public square and transport hub in central Saint Petersburg, Russia, known for its proximity to Moskovsky railway station and busy Nevsky Prospekt.
-
D.
Alexander Nevsky Square
Alexander Nevsky Square is a major public square and transport hub in Saint Petersburg, Russia, named after the medieval prince and saint Alexander Nevsky.
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E.
Lubyanka Square, Moscow
Lubyanka Square, Moscow is a central Moscow square historically known as the site of Russia’s main security service headquarters and the former KGB prison.
- F. None of above. chosen
Statements (45)
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: Sennaya Square Description of subject: Sennaya Square is a historic public square in central Saint Petersburg, Russia, long known as a bustling commercial hub and a setting in several of Dostoevsky’s works.
Referenced by (15)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Ploshchad Sverdlova
this entity surface form:
Sennaya Ploshchad
this entity surface form:
«Сенная площадь»
subject surface form:
Spasskaya
this entity surface form:
Sennaya Ploshchad
this entity surface form:
Sennaya Square area