Entity ¶

class Entity(TypedDict, closed=True):
    score: NotRequired["capo_comprehend.types.float.Float"]
    """<p>The level of confidence that Amazon Comprehend has in the accuracy of the detection.</p>"""
    type: NotRequired["capo_comprehend.types.entity_type.EntityType"]
    """<p>The entity type. For entity detection using the built-in model, this field contains one of the standard entity types listed below.</p> <p>For custom entity detection, this field contains one of the entity types that you specified when you trained your custom model.</p>"""
    text: NotRequired["capo_comprehend.types.string.String"]
    """<p>The text of the entity.</p>"""
    begin_offset: NotRequired["capo_comprehend.types.integer.Integer"]
    """<p>The zero-based offset from the beginning of the source text to the first character in the entity.</p> <p>This field is empty for non-text input.</p>"""
    end_offset: NotRequired["capo_comprehend.types.integer.Integer"]
    """<p>The zero-based offset from the beginning of the source text to the last character in the entity.</p> <p>This field is empty for non-text input.</p>"""
    block_references: NotRequired[
        "capo_comprehend.types.list_of_block_references.ListOfBlockReferences"
    ]
    """<p>A reference to each block for this entity. This field is empty for plain-text input.</p>"""