# About entity types

An entity type is a category of entity value. For example, the entity value John might be an example of the Given Name entity type.

Tonic Textual comes with a [built-in set of entity types that it always detects](/textual/entity-types/built-in-entity-types.md).

You can also configure custom entity types, which you can use to detect values that are not covered by the built-in entity types.

When you create a custom entity type, you can either:

* [Use regular expressions to identify matching values.](/textual/entity-types/entity-types-custom.md) You might create this type of custom entity when there are a limited number of values or the values follow specific formats that can easily be identified with a regular expression.
* [Define and train a model to identify matching values.](/textual/entity-types/entity-type-custom-model.md) Training a model is an iterative process that can take hours or days, depending on your data.\
  \
  You might create this type of custom entity when there are a large number of values that do not follow a specific format. The values need to be identified more by context.

You can also view this [video overview of entity types and entity type handling](https://youtu.be/05x8utCTYGY).&#x20;


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.tonic.ai/textual/entity-types/about-entity-types.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
