Dimension prebuilt entity for a LUIS app

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The prebuilt dimension entity detects various types of dimensions, regardless of the LUIS app culture. Because this entity is already trained, you do not need to add example utterances containing dimensions to the application intents. Dimension entity is supported in many cultures.

Types of dimension

Dimension is managed from the Recognizers-text GitHub repository.

Resolution for dimension entity

The following entity objects are returned for the query:

10 1/2 miles of cable

V3 response

The following JSON is with the verbose parameter set to false:

"entities": {
    "dimension": [
        {
            "number": 10.5,
            "units": "Mile"
        }
    ]
}

V3 verbose response

The following JSON is with the verbose parameter set to true:

"entities": {
    "dimension": [
        {
            "number": 10.5,
            "units": "Mile"
        }
    ],
    "$instance": {
        "dimension": [
            {
                "type": "builtin.dimension",
                "text": "10 1/2 miles",
                "startIndex": 0,
                "length": 12,
                "modelTypeId": 2,
                "modelType": "Prebuilt Entity Extractor",
                "recognitionSources": [
                    "model"
                ]
            }
        ]
    }
}

V2 response

The following example shows the resolution of the builtin.dimension entity.

{
    "entity": "10 1/2 miles",
    "type": "builtin.dimension",
    "startIndex": 0,
    "endIndex": 11,
    "resolution": {
    "unit": "Mile",
    "value": "10.5"
    }
}

Next steps

Learn more about the V3 prediction endpoint.

Learn about the email, number, and ordinal entities.