São Bento de Avé-Maria monastery
E1014320
São Bento de Avé-Maria monastery was a former Benedictine convent in Porto, Portugal, whose site later became occupied by the Porto São Bento railway station.
All labels observed (2)
| Label | Occurrences |
|---|---|
| São Bento de Avé-Maria monastery canonical | 2 |
| Mosteiro de São Bento de Avé-Maria | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T12954338 — 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: São Bento de Avé-Maria monastery Context triple: [Porto São Bento railway station, formerSiteOf, São Bento de Avé-Maria monastery]
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A.
São Bento Monastery
São Bento Monastery is a historic Benedictine complex in downtown São Paulo, Brazil, renowned for its traditional Gregorian chant masses and significant religious and architectural heritage.
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B.
Monastery of Santa Clara-a-Velha
The Monastery of Santa Clara-a-Velha is a Gothic former convent in Coimbra, Portugal, renowned for its riverside ruins and history of frequent flooding by the Mondego River.
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C.
Monastery of São Vicente de Fora
The Monastery of São Vicente de Fora is a prominent 16th-century Mannerist monastery and royal pantheon in Lisbon, Portugal, known for housing the tombs of Portuguese royalty.
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D.
Mosteiro de São Bento da Saúde
Mosteiro de São Bento da Saúde was a historic Benedictine monastery in Lisbon that later became the site of Portugal’s national parliament building, the São Bento Palace.
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E.
Monastery of Jesus of Setúbal
The Monastery of Jesus of Setúbal is a late 15th-century Portuguese convent renowned as an early and influential example of the Manueline architectural style.
- 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: São Bento de Avé-Maria monastery Target entity description: São Bento de Avé-Maria monastery was a former Benedictine convent in Porto, Portugal, whose site later became occupied by the Porto São Bento railway station.
-
A.
São Bento Monastery
São Bento Monastery is a historic Benedictine complex in downtown São Paulo, Brazil, renowned for its traditional Gregorian chant masses and significant religious and architectural heritage.
-
B.
Monastery of Santa Clara-a-Velha
The Monastery of Santa Clara-a-Velha is a Gothic former convent in Coimbra, Portugal, renowned for its riverside ruins and history of frequent flooding by the Mondego River.
-
C.
Monastery of São Vicente de Fora
The Monastery of São Vicente de Fora is a prominent 16th-century Mannerist monastery and royal pantheon in Lisbon, Portugal, known for housing the tombs of Portuguese royalty.
-
D.
Mosteiro de São Bento da Saúde
Mosteiro de São Bento da Saúde was a historic Benedictine monastery in Lisbon that later became the site of Portugal’s national parliament building, the São Bento Palace.
-
E.
Monastery of Jesus of Setúbal
The Monastery of Jesus of Setúbal is a late 15th-century Portuguese convent renowned as an early and influential example of the Manueline architectural style.
- F. None of above. chosen
Statements (25)
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: São Bento de Avé-Maria monastery Description of subject: São Bento de Avé-Maria monastery was a former Benedictine convent in Porto, Portugal, whose site later became occupied by the Porto São Bento railway station.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: São Bento de Avé-Maria monastery