The correct options are Organization, Location, and Person.

These prebuilt entity types represent the standard named entity classes that the Text Analysis toolkit extracts. Organization covers companies and institutions, Location covers geographic and geopolitical places, and Person covers individual names. These types are commonly provided out of the box for entity recognition.

Gender is not a standard prebuilt entity type for named entity recognition. Gender is a demographic attribute and it is not returned as an entity label by most NER models unless you use a separate attribute extraction model.

Identification is not a prebuilt entity type. The service might detect specific identifier tokens in some contexts but there is no generic Identification label in the standard entity set.

Name is not listed separately because personal names are included under the Person entity type. The toolkit uses Person to represent names so there is no distinct Name category.

Age is not provided as a prebuilt entity type. Age is a numeric attribute and if it is extracted it is usually handled as a value or by a dedicated attribute extractor rather than as a named entity label.

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