{"id":18095,"date":"2019-01-14T11:31:18","date_gmt":"2019-01-14T11:31:18","guid":{"rendered":"https:\/\/developer.kore.ai\/?post_type=docs&p=15874"},"modified":"2021-04-05T04:59:58","modified_gmt":"2021-04-05T03:59:58","slug":"entity-types","status":"publish","type":"post","link":"https:\/\/multisite.korebots.com\/v9-0\/docs\/bots\/bot-builder-tool\/dialog-task\/entity-types\/","title":{"rendered":"Supported Entity Types"},"content":{"rendered":"

The Entity Type<\/strong> provides the NLP Interpreter with the expected type of data from a user utterance to enhance recognition and system performance.\u00a0 The Kore.ai NLP interpreter extracts the entity from the user utterance. If the user does not enter a required entity, you can define a Bot Response node to prompt the user to provide the entity. For more information, refer to Working with the Bot Response Node<\/a>.<\/p>\n

You can also define entity rules to validate user input, refer here for details<\/a>.<\/p>\n

The following Entity Types<\/strong> are specified for an entity node.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
Address<\/a><\/td>\nComposite<\/a><\/td>\nPerson Name<\/a><\/td>\n<\/tr>\n
Airport<\/a><\/td>\nDate<\/a><\/td>\nPercentage<\/a><\/td>\n<\/tr>\n
Attachment<\/a><\/td>\nDate Period<\/a><\/td>\nPhone Number<\/a><\/td>\n<\/tr>\n
Email<\/a><\/td>\nDate Time<\/a><\/td>\nQuantity<\/a><\/td>\n<\/tr>\n
City<\/a><\/td>\nDescription<\/a><\/td>\nString<\/a><\/td>\n<\/tr>\n
Country<\/a><\/td>\nList of Items (enumerated)<\/a><\/td>\nTime<\/a><\/td>\n<\/tr>\n
Company<\/a><\/td>\nList of items (lookup)<\/a><\/td>\nTime Zone<\/a><\/td>\n<\/tr>\n
Color<\/a><\/td>\nLocation<\/a><\/td>\nURL<\/a><\/td>\n<\/tr>\n
Custom<\/a><\/td>\nNumber<\/a><\/td>\nZip Code<\/a><\/td>\n<\/tr>\n
Currency<\/a><\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div><\/div>
<\/div><\/div>

<\/span>Address<\/span><\/h3>\n

Captures addresses written in the standard US and Germany address formats. For example, 200 E Main ST Pheonix AZ 85123 USA. The complete address is captured as a string: \u201c200 E Main ST Pheonix AZ 85123 USA.\u201d<\/p>\n

\"entities\":\r\n{\r\n\"AddressEntity\": \"200 E Main ST Pheonix AZ 85123 USA\"\r\n}<\/pre>\n
For other country addresses, the platform captures strings that end with a recognizable city or country name. For more details, refer to the City entity.<\/a><\/p>\n<\/div><\/div>
Post v8.1, the full formatted address for the Address entity can be accessed from the context object. The context object would have the following format and the individual field values can be obtained:<\/p>\n
\"autoFormattedEntities\": {\r\n     \"Address\": {\r\n        \"streetNumber\": \"200\"\r\n        \"streetName\": \"E Main ST\"\r\n        \"streetType\":\r\n        \"POBox\":\r\n        \"roadPrefix\":\r\n        \"roadNumber\":\r\n        \"city\": \"Pheonix\"\r\n        \"county\": \"USA\"\r\n        \"zip\": \"AZ 85123\"\r\n    }\r\n }<\/pre>\n
Note that all the fields need not be available for all scenarios, it depends upon the address type based on the country.<\/p>\n<\/div><\/div>
<\/div><\/div>
<\/span>Airport<\/span><\/h3>\n
Captures airport details with the following inputs:<\/p>\n