canton of Saint-Amand-Montrond
E728014
The canton of Saint-Amand-Montrond is an administrative division in the Cher department of central France, grouping several communes around the town of Saint-Amand-Montrond.
All labels observed (1)
| Label | Occurrences |
|---|---|
| canton of Saint-Amand-Montrond canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8364409 — 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: canton of Saint-Amand-Montrond Context triple: [Saint-Amand-Montrond, adminCentreOf, canton of Saint-Amand-Montrond]
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A.
canton of Monistrol-sur-Loire
The canton of Monistrol-sur-Loire is an administrative division in the Haute-Loire department of south-central France, centered on the town of Monistrol-sur-Loire and grouping several surrounding communes.
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B.
canton of Cosne-Cours-sur-Loire
The canton of Cosne-Cours-sur-Loire is an administrative division in the Nièvre department of central France, centered on the town of Cosne-Cours-sur-Loire and grouping several surrounding communes.
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C.
canton of Montlouis-sur-Loire
The canton of Montlouis-sur-Loire is an administrative division in central France that groups Montlouis-sur-Loire and surrounding communes for local governance and electoral purposes.
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D.
canton of La Charité-sur-Loire
The canton of La Charité-sur-Loire is an administrative division in central France centered around the town of La Charité-sur-Loire in the Nièvre department.
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E.
canton of Athis-Mons
The canton of Athis-Mons is an administrative division in the Essonne department of the Île-de-France region in northern France, grouping several communes in the southern suburbs of Paris.
- 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: canton of Saint-Amand-Montrond Target entity description: The canton of Saint-Amand-Montrond is an administrative division in the Cher department of central France, grouping several communes around the town of Saint-Amand-Montrond.
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A.
canton of Monistrol-sur-Loire
The canton of Monistrol-sur-Loire is an administrative division in the Haute-Loire department of south-central France, centered on the town of Monistrol-sur-Loire and grouping several surrounding communes.
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B.
canton of Cosne-Cours-sur-Loire
The canton of Cosne-Cours-sur-Loire is an administrative division in the Nièvre department of central France, centered on the town of Cosne-Cours-sur-Loire and grouping several surrounding communes.
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C.
canton of Montlouis-sur-Loire
The canton of Montlouis-sur-Loire is an administrative division in central France that groups Montlouis-sur-Loire and surrounding communes for local governance and electoral purposes.
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D.
canton of La Charité-sur-Loire
The canton of La Charité-sur-Loire is an administrative division in central France centered around the town of La Charité-sur-Loire in the Nièvre department.
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E.
canton of Athis-Mons
The canton of Athis-Mons is an administrative division in the Essonne department of the Île-de-France region in northern France, grouping several communes in the southern suburbs of Paris.
- F. None of above. chosen
Statements (41)
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: canton of Saint-Amand-Montrond Description of subject: The canton of Saint-Amand-Montrond is an administrative division in the Cher department of central France, grouping several communes around the town of Saint-Amand-Montrond.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.