Prebuilt entities

LUIS includes a set of prebuilt entities. When a prebuilt entity is included in your application, its predictions are included in your published application and can be used in the LUIS web UI to label utterances. The behavior of prebuilt entities cannot be modified. Unless otherwise noted, prebuilt entities are available in all LUIS application locales (cultures). The following table shows the prebuilt entities that are supported for each culture.

Note

builtin.datetime is deprecated. It is replaced by builtin.datetimeV2, which provides recognition of date and time ranges, as well as improved recognition of ambiguous dates and times.

Pre-built entity en-US fr-FR it-IT es-ES zh-CN de-DE pt-BR ja-JP ko-kr
DatetimeV2 ☑️ - - - ☑️ - - - -
Datetime ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ -
Number ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ -
Ordinal ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ -
Percentage ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ -
Temperature ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ -
Dimension ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ -
Money ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ -
Age ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ ☑️ -
Geography ☑️ - - - - - - - -
Encyclopedia ☑️ - - - - - - - -
URL ☑️ - - - - - - - -
Email ☑️ - - - - - - - -
Phone number ☑️ - - - - - - - -

Examples of prebuilt entities

The following table lists prebuilt entities with example utterances and their return values.

Pre-built entity Example utterance JSON
builtin.number ten { "type": "builtin.number", "entity": "ten" }
builtin.number 3.1415 { "type": "builtin.number", "entity": "3 . 1415" }
builtin.ordinal first { "type": "builtin.ordinal", "entity": "first" }
builtin.ordinal 10th { "type": "builtin.ordinal", "entity": "10th" }
builtin.temperature 10 degrees celcius { "type": "builtin.temperature", "entity": "10 degrees celcius" }
builtin.temperature 78 F { "type": "builtin.temperature", "entity": "78 f" }
builtin.dimension 2 miles { "type": "builtin.dimension", "entity": "2 miles" }
builtin.dimension 650 square kilometers { "type": "builtin.dimension", "entity": "650 square kilometers" }
builtin.money 1000.00 US dollars { "type": "builtin.money", "entity": "1000.00 us dollars" }
builtin.money $ 67.5 B { "type": "builtin.money", "entity": "$ 67.5" }
builtin.age 100 year old { "type": "builtin.age", "entity": "100 year old" }
builtin.age 19 years old { "type": "builtin.age", "entity": "19 years old" }
builtin.percentage The stock price increase by 7 $ this year { "type": "builtin.percentage", "entity": "7 %" }
builtin.datetimeV2 See builtin.datetimeV2 See builtin.datetimeV2
builtin.datetime See builtin.datetime See builtin.datetime
builtin.geography See separate table See separate table below
builtin.encyclopedia See separate table See separate table below

The last 3 built-in entity types listed in the table above encompass multiple subtypes. These are covered later in this article.

builtin.number resolution

There are many ways in which numeric values are used to quantify, express, and describe pieces of information, with more possibilities than the examples listed. LUIS interprets the variations in user utterances and returns consistent numeric values.

Utterance Entity Resolution
one thousand times "one thousand" "1000"
1,000 people "1,000" "1000"
1/2 cup "1 / 2" "0.5"
one half the amount "one half" "0.5"
one hundred fifty orders "one hundred fifty" "150"
one hundred and fifty books "one hundred and fifty" "150"
a grade of one point five "one point five" "1.5"
buy two dozen eggs "two dozen" "24"

LUIS includes the recognized value of a builtin.number entity in the resolution field of the JSON response it returns.

The following example shows a JSON response from LUIS, that includes the resolution of the value 24, for the utterance "two dozen".

{
  "query": "order two dozen eggs",
  "topScoringIntent": {
    "intent": "OrderFood",
    "score": 0.105443209
  },
  "intents": [
    {
      "intent": "None",
      "score": 0.105443209
    },
    {
      "intent": "OrderFood",
      "score": 0.9468431361
    },
    {
      "intent": "Help",
      "score": 0.000399122015
    },
  ],
  "entities": [
    {
      "entity": "two dozen",
      "type": "builtin.number",
      "startIndex": 6,
      "endIndex": 14,
      "resolution": {
        "value": "24"
      }
    }
  ]
}

Ordinal, percentage and currency resolution

The builtin.ordinal, builtin.percentage, and builtin.currency entities also provide resolution to a value.

Percentage resolution

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

{
  "query": "set a trigger when my stock goes up 2%",
  "topScoringIntent": {
    "intent": "SetTrigger",
    "score": 0.971157849
  },
  "intents": [
    {
      "intent": "SetTrigger",
      "score": 0.971157849
    },
    {
      "intent": "None",
      "score": 0.07398871
    },
    {
      "intent": "Help",
      "score": 2.57078386E-06
    }
  ],
  "entities": [
    {
      "entity": "2",
      "type": "builtin.number",
      "startIndex": 36,
      "endIndex": 36,
      "resolution": {
        "value": "2"
      }
    },
    {
      "entity": "2%",
      "type": "builtin.percentage",
      "startIndex": 36,
      "endIndex": 37,
      "resolution": {
        "value": "2%"
      }
    }
  ]
}

Ordinal resolution

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

{
  "query": "Order the second option",
  "topScoringIntent": {
    "intent": "OrderFood",
    "score": 0.9993253
  },
  "intents": [
    {
      "intent": "OrderFood",
      "score": 0.9993253
    },
    {
      "intent": "None",
      "score": 0.05046708
    }
  ],
  "entities": [
    {
      "entity": "second",
      "type": "builtin.ordinal",
      "startIndex": 10,
      "endIndex": 15,
      "resolution": {
        "value": "2"
      }
    }
  ]
}

Currency resolution

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

{
  "query": "search for items under $10.99",
  "topScoringIntent": {
    "intent": "SearchForItems",
    "score": 0.926173568
  },
  "intents": [
    {
      "intent": "SearchForItems",
      "score": 0.926173568
    },
    {
      "intent": "None",
      "score": 0.07376878
    }
  ],
  "entities": [
    {
      "entity": "10.99",
      "type": "builtin.number",
      "startIndex": 24,
      "endIndex": 28,
      "resolution": {
        "value": "10.99"
      }
    },
    {
      "entity": "$10.99",
      "type": "builtin.currency",
      "startIndex": 23,
      "endIndex": 28,
      "resolution": {
        "unit": "Dollar",
        "value": "10.99"
      }
    }
  ]
}

builtin.datetimeV2

The builtin.datetimeV2 prebuilt entity automatically recognizes dates, times, and ranges of dates and times. This entity also resolves dates, times and date ranges to values in a standardized format for client programs to consume. If an utterance contains a date or time that isn't fully specified, both past and future values are included in the resolution.

Note

builtin.datetimeV2 is available only in the en-us and zh-cn locales.

example property descriptions
The following is an example of a JSON response containing a builtin.datetimeV2 entity, of type datetime. For examples of other types of datetimeV2 entities, see Subtypes of datetimeV2.
  "entities": [
    {
      "entity": "8am on may 2nd 2017",
      "type": "builtin.datetimeV2.datetime",
      "startIndex": 15,
      "endIndex": 30,
      "resolution": {
        "values": [
          {
            "timex": "2017-05-02T08",
            "type": "datetime",
            "value": "2017-05-02 08:00:00"
          }
        ]
      }
    }
  ]
   
entitystring. Text extracted from the utterance, that represents a date, time, date range or time range.
typestring. One of the following subtypes of datetimeV2:
  • builtin.datetimeV2.datetime
  • builtin.datetimeV2.date
  • builtin.datetimeV2.time
  • builtin.datetimeV2.daterange
  • builtin.datetimeV2.datetimerange
  • builtin.datetimeV2.duration
  • builtin.datetimeV2.set
startIndexint. The index in the utterance at which the entity begins.
endIndexint. The index in the utterance at which the entity ends.
resolution Contains a values array that has one, two, or four values.
  • The array has one element if the date or time in the utterance is fully specified and unambiguous.
  • The array has two elements if the date or date range is ambiguous as to year, or a time or time range is ambiguous as to AM or PM. In the case of an ambiguous date, values contains the most recent past and most immediate future instances of the date. See Ambiguous dates for more examples. In the case of an ambiguous time, values contains both the AM and PM times.
  • The array has four elements if the utterance contains both a date or date range that is ambiguous as to year, and a time or time range that is ambiguous as to AM or PM. For example, 3:00 April 3rd.

Each element of values may contain the following fields:
timextime, date, or date range expressed in TIMEX format that follows the ISO 8601 standard as well as using the TIMEX3 attributes for annotation using the TimeML language. This annotation is described in the TIMEX guidelines.
typeThe subtype, which can be one of the following: datetime, date, time, daterange, datetimerange, duration, set.
value Optional. A datetime object in the Format yyyy:MM:dd (date), HH:mm:ss (time) yyyy:MM:dd HH:mm:ss (datetime). If type is duration, the value is the number of seconds (duration)
Only used if type is datetime or date, time, or duration.
startA value representing the start of a time or date range, in the same format as value. Only used if type is daterange or datetimerange.
endA value representing the end of a time or date range, in the same format as value. Only used if type is daterange or datetimerange.

Ambiguous dates

If it's unclear from an utterance whether a date refers to that date in the past or the future, LUIS provides both the most immediate past and future instances of that date. One case of this is an utterance that includes the month and date, but not the year. If today's date precedes the date in the utterance in the current year, the most immediate past instance of that date is in the previous year. Otherwise the most immediate past date is in the current year.

For example, given the utterance "May 2nd":

  • If today's date is May 3rd 2017, LUIS provides both "2017-05-02" and "2018-05-02" as values.
  • If today's date is May 1st 2017, LUIS provides both "2016-05-02" and "2017-05-02" as values.

The following example shows the resolution of the entity "may 2nd" provided that today's date is a date between May 2nd 2017 and May 1st 2018. Fields containing X in the timex field represent parts of the date that are not explicitly specified in the utterance.

  "entities": [
    {
      "entity": "may 2nd",
      "type": "builtin.datetimeV2.date",
      "startIndex": 0,
      "endIndex": 6,
      "resolution": {
        "values": [
          {
            "timex": "XXXX-05-02",
            "type": "date",
            "value": "2017-05-02"
          },
          {
            "timex": "XXXX-05-02",
            "type": "date",
            "value": "2018-05-02"
          }
        ]
      }
    }
  ]

Date range resolution examples

The datetimeV2 entity can recognize date and time ranges. The start and end fields specify the beginning and end of the range. For the utterance "May 2nd to May 5th", LUIS provides daterange values for both the current year and the following year. In the timex field, the XXXX values represent the year that is not explicitly specified in the utterance, and P3D indicates that the time period is 3 days long.

"entities": [
    {
      "entity": "may 2nd to may 5th",
      "type": "builtin.datetimeV2.daterange",
      "startIndex": 0,
      "endIndex": 17,
      "resolution": {
        "values": [
          {
            "timex": "(XXXX-05-02,XXXX-05-05,P3D)",
            "type": "daterange",
            "start": "2017-05-02",
            "end": "2017-05-05"
          },
          {
            "timex": "(XXXX-05-02,XXXX-05-05,P3D)",
            "type": "daterange",
            "start": "2018-05-02",
            "end": "2018-05-05"
          }
        ]
      }
    }
  ]

The following example shows how LUIS uses datetimeV2 to resolve the utterance "Tuesday to Thursday". In this example the current date is June 19th. Note that LUIS includes daterange values for both of the date ranges that precede and follow the current date.

  "entities": [
    {
      "entity": "tuesday to thursday",
      "type": "builtin.datetimeV2.daterange",
      "startIndex": 0,
      "endIndex": 19,
      "resolution": {
        "values": [
          {
            "timex": "(XXXX-WXX-2,XXXX-WXX-4,P2D)",
            "type": "daterange",
            "start": "2017-06-13",
            "end": "2017-06-15"
          },
          {
            "timex": "(XXXX-WXX-2,XXXX-WXX-4,P2D)",
            "type": "daterange",
            "start": "2017-06-20",
            "end": "2017-06-22"
          }
        ]
      }
    }
  ]

Subtypes of datetimeV2

The builtin.datetimeV2 prebuilt entity has the following subtypes, and examples of each are provided in the table that follows:

  • builtin.datetimeV2.date
  • builtin.datetimeV2.time
  • builtin.datetimeV2.daterange
  • builtin.datetimeV2.datetimerange
  • builtin.datetimeV2.duration
  • builtin.datetimeV2.set
Pre-built entity Example utterance JSON
builtin.datetimeV2.date tomorrow { "type": "builtin.datetimeV2.date", "entity": "tomorrow", "resolution": {"values": [{"timex": "2017-06-21","type": "date", "value": "2017-06-21"}]} }
builtin.datetimeV2.date january 10 2009 { "type": "builtin.datetimeV2.date", "entity": "january 10 2009", "resolution": { "values": [ {"timex": "2009-01-10", "type": "date", "value": "2009-01-10" }] } }
builtin.datetimeV2.date monday { "entity": "monday", "type": "builtin.datetimeV2.date", "resolution": { "values": [{ "timex": "XXXX-WXX-1", "type": "date", "value": "2017-06-19" },{"timex": "XXXX-WXX-1","type": "date", "value": "2017-06-26"}]} }
builtin.datetimeV2.daterange next week { "entity": "next week", "type": "builtin.datetime.dateV2.daterange", "resolution": { "values": [{ "timex": "2017-W27", "type": "daterange", "start": "2017-06-26", "end": "2017-07-03"}] } }
builtin.datetimeV2.date next monday { "entity": "next monday", "type": "builtin.datetimeV2.date", "resolution": { "values": [{ "timex": "2017-06-26", "type": "date", "value": "2017-06-26" }] } }
builtin.datetimeV2.time 3 : 00 { "type": "builtin.datetimeV2.time", "entity": "3 : 00", "resolution": { "values": [{ "timex": "T03:00", "type": "time", "value": "03:00:00" }, { "timex": "T15:00", "type": "time", "value": "15:00:00" }]} }
builtin.datetimeV2.time 4 pm { "type": "builtin.datetimeV2.time", "entity": "4 pm", "resolution": { "values": [{"timex": "T16", "type": "time", "value": "16:00:00"}] } }
builtin.datetimeV2.datetimerange tomorrow morning { "entity": "tomorrow morning", "type": "builtin.datetimev2.datetimerange", "resolution": { "values": [{"timex": "2017-06-21TMO","type": "datetimerange", "start": "2017-06-21 08:00:00", "end": "2017-06-21 12:00:00"}]} }
builtin.datetimeV2.datetimerange tonight { "entity": "tonight", "type": "builtin.datetimeV2.datetimerange", "resolution": { "values": [{"timex": "2017-06-20TNI","type": "datetimerange", "start": "2017-06-20 20:00:00", "end": "2017-06-20 23:59:59"}]} }
builtin.datetimeV2.duration for 3 hours { "type": "builtin.datetimeV2.duration", "entity": "3 hours", "resolution": { "values": [{ "timex": "PT3H", "type": "duration", "value": "10800"}] } }
builtin.datetimeV2.duration 30 minutes long { "type": "builtin.datetimeV2.duration", "entity": "30 minutes", "resolution": { "values": [{ "timex": "PT30M", "type": "duration", "value": "1800"}] } }
builtin.datetimeV2.duration all day { "type": "builtin.datetimeV2.duration", "entity": "all day", "resolution": { "values": [{ "timex": "P1D", "type": "duration", "value": "86400"}] } }
builtin.datetimeV2.set daily { "type": "builtin.datetimeV2.set", "entity": "daily", "resolution": { "values": [{ "timex": "P1D", "type": "set", "value": "not resolved"}]} }
builtin.datetimeV2.set every tuesday { "entity": "every tuesday", "type": "builtin.datetimeV2.set", "resolution": { "values": [{ "timex": "XXXX-WXX-2", "type": "set", "value": "not resolved"}]} }
builtin.datetimeV2.set every week { "entity": "every week", "type": "builtin.datetimeV2.set", "resolution": {"time": "XXXX-WXX"} }

builtin.datetime

The builtin.datetime prebuilt entity is deprecated and replaced by builtin.datetimeV2.

To replace builtin.datetime with builtin.datetimeV2 in your LUIS app, do the following:

  1. Open the Entities pane of the LUIS web interface.
  2. Delete the datetime prebuilt entity.
  3. Click Add prebuilt entity
  4. Select datetimeV2 and click Save.

The following table provides a comparison of datetime and datetimeV2. In the examples, the current date is 2017-06-20.

Pre-built entity Example utterance JSON
builtin.datetime.date tomorrow { "type": "builtin.datetime.date", "entity": "tomorrow", "resolution": {"date": "2017-06-21"} }
builtin.datetimeV2.date tomorrow { "type": "builtin.datetimeV2.date", "entity": "tomorrow", "resolution": {"values": [{"timex": "2017-06-21","type": "date", "value": "2017-06-21"}]} }
builtin.datetime.date january 10 2009 { "type": "builtin.datetime.date", "entity": "january 10 2009", "resolution": {"date": "2009-01-10"} }
builtin.datetimeV2.date january 10 2009 { "type": "builtin.datetimeV2.date", "entity": "january 10 2009", "resolution": { "values": [ {"timex": "2009-01-10", "type": "date", "value": "2009-01-10" }] } }
builtin.datetime.date monday { "entity": "monday", "type": "builtin.datetime.date", "resolution": {"date": "XXXX-WXX-1"} }
builtin.datetimeV2.date monday { "entity": "monday", "type": "builtin.datetimeV2.date", "resolution": { "values": [{ "timex": "XXXX-WXX-1", "type": "date", "value": "2017-06-19" },{"timex": "XXXX-WXX-1","type": "date", "value": "2017-06-26"}]} }
builtin.datetime.date next week { "entity": "next week", "type": "builtin.datetime.date", "resolution": {"date": "2017-W26"} }
builtin.datetimeV2.daterange next week { "entity": "next week", "type": "builtin.datetime.dateV2.daterange", "resolution": { "values": [{ "timex": "2017-W27", "type": "daterange", "start": "2017-06-26", "end": "2017-07-03"}] } }
builtin.datetime.date next monday { "entity": "next monday", "type": "builtin.datetime.date", "resolution": {"date": "2017-06-26"} }
builtin.datetimeV2.date next monday { "entity": "next monday", "type": "builtin.datetimeV2.date", "resolution": { "values": [{ "timex": "2017-06-26", "type": "date", "value": "2017-06-26" }] } }
builtin.datetime.time 3 : 00 { "type": "builtin.datetime.time", "entity": "3 : 00", "resolution": {"comment": "ampm", "time": "T03:00"} }
builtin.datetimeV2.time 3 : 00 { "type": "builtin.datetimeV2.time", "entity": "3 : 00", "resolution": { "values": [{ "timex": "T03:00", "type": "time", "value": "03:00:00" }, { "timex": "T15:00", "type": "time", "value": "15:00:00" }]} }
builtin.datetime.time 4 pm { "type": "builtin.datetime.time", "entity": "4 pm", "resolution": {"time": "T16"} }
builtin.datetimeV2.time 4 pm { "type": "builtin.datetimeV2.time", "entity": "4 pm", "resolution": { "values": [{"timex": "T16", "type": "time", "value": "16:00:00"}] } }
builtin.datetime.time tomorrow morning { "entity": "tomorrow morning", "type": "builtin.datetime.time", "resolution": {"time": "2015-08-15TMO"} }
builtin.datetimeV2.datetimerange tomorrow morning { "entity": "tomorrow morning", "type": "builtin.datetimev2.datetimerange", "resolution": { "values": [{"timex": "2017-06-21TMO","type": "datetimerange", "start": "2017-06-21 08:00:00", "end": "2017-06-21 12:00:00"}]} }
builtin.datetime.time tonight { "entity": "tonight", "type": "builtin.datetime.time", "resolution": {"time": "2015-08-14TNI"} }
builtin.datetimeV2.datetimerange tonight { "entity": "tonight", "type": "builtin.datetimeV2.datetimerange", "resolution": { "values": [{"timex": "2017-06-20TNI","type": "datetimerange", "start": "2017-06-20 20:00:00", "end": "2017-06-20 23:59:59"}]} }
builtin.datetime.duration for 3 hours { "type": "builtin.datetime.duration", "entity": "3 hours", "resolution": {"duration": "PT3H"} }
builtin.datetimeV2.duration for 3 hours { "type": "builtin.datetimeV2.duration", "entity": "3 hours", "resolution": { "values": [{ "timex": "PT3H", "type": "duration", "value": "10800"}] } }
builtin.datetime.duration 30 minutes long { "type": "builtin.datetime.duration", "entity": "30 minutes", "resolution": {"duration": "PT30M"} }
builtin.datetimeV2.duration 30 minutes long { "type": "builtin.datetimeV2.duration", "entity": "30 minutes", "resolution": { "values": [{ "timex": "PT30M", "type": "duration", "value": "1800"}] } }
builtin.datetime.duration all day { "type": "builtin.datetime.duration", "entity": "all day", "resolution": {"duration": "P1D"} }
builtin.datetimeV2.duration all day { "type": "builtin.datetimeV2.duration", "entity": "all day", "resolution": { "values": [{ "timex": "P1D", "type": "duration", "value": "86400"}] } }
builtin.datetime.set daily { "type": "builtin.datetime.set", "entity": "daily", "resolution": "set": {"XXXX-XX-XX"} }
builtin.datetimeV2.set daily { "type": "builtin.datetimeV2.set", "entity": "daily", "resolution": { "values": [{ "timex": "P1D", "type": "set", "value": "not resolved"}]} }
builtin.datetime.set every tuesday { "entity": "every tuesday", "type": "builtin.datetime.set", "resolution": {"time": "XXXX-WXX-2"} }
builtin.datetimeV2.set every tuesday { "entity": "every tuesday", "type": "builtin.datetimeV2.set", "resolution": { "values": [{ "timex": "XXXX-WXX-2", "type": "set", "value": "not resolved"}]} }
builtin.datetime.set every week { "entity": "every week", "type": "builtin.datetime.set", "resolution": {"time": "XXXX-WXX"} }
builtin.datetimeV2.set every week { "entity": "every week", "type": "builtin.datetimeV2.set", "resolution": {"time": "XXXX-WXX"} }

builtin.geography

Note

builtin.geography is available only in the en-us locale.

The builtin.geography built-in entity type has 3 sub-types:

Pre-built entity Example utterance JSON
builtin.geography.city seattle { "type": "builtin.geography.city", "entity": "seattle" }
builtin.geography.city paris { "type": "builtin.geography.city", "entity": "paris" }
builtin.geography.country australia { "type": "builtin.geography.country", "entity": "australia" }
builtin.geography.country japan { "type": "builtin.geography.country", "entity": "japan" }
builtin.geography.pointOfInterest amazon river { "type": "builtin.geography.pointOfInterest", "entity": "amazon river" }
builtin.geography.pointOfInterest sahara desert { "type": "builtin.geography.pointOfInterest", "entity": "sahara desert" }

builtin.encyclopedia

Note

builtin.encyclopedia is available only in the en-US locale.

The builtin.encyclopedia built-in entity includes over 100 sub-types, listed below. In addition, encyclopedia entities often map to multiple types. For example, the query Ronald Reagan yields:
{
      "entity": "ronald reagan",
      "type": "builtin.encyclopedia.people.person"
    },
    {
      "entity": "ronald reagan",
      "type": "builtin.encyclopedia.film.actor"
    },
    {
      "entity": "ronald reagan",
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