Age prebuilt entity for a LUIS app

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The prebuilt age entity captures the age value both numerically and in terms of days, weeks, months, and years. Because this entity is already trained, you do not need to add example utterances containing age to the application intents. Age entity is supported in many cultures.

Types of age

Age is managed from the Recognizers-text GitHub repository

Resolution for prebuilt age entity

V3 response

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

"entities": {
    "age": [
        {
            "number": 90,
            "unit": "Day"
        }
    ]
}

V3 verbose response

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

"entities": {
    "age": [
        {
            "number": 90,
            "unit": "Day"
        }
    ],
    "$instance": {
        "age": [
            {
                "type": "builtin.age",
                "text": "90 day old",
                "startIndex": 2,
                "length": 10,
                "modelTypeId": 2,
                "modelType": "Prebuilt Entity Extractor"
            }
        ]
    }
}

V2 response

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

  "entities": [
    {
      "entity": "90 day old",
      "type": "builtin.age",
      "startIndex": 2,
      "endIndex": 11,
      "resolution": {
        "unit": "Day",
        "value": "90"
      }
    }

Next steps

Learn more about the V3 prediction endpoint.

Learn about the currency, datetimeV2, and dimension entities.