# List of entity types

The **Entity settings** page displays the list of active entity types for the dataset set. This includes:

* All of the built-in entity types
* Any custom entity types that are active for the dataset

You can also use the [Textual Agent](/textual/textual-agent/textual-agent-about.md) to ask about the detected entity types.

<figure><img src="/files/upZZzCGT0PkSzBllbQKV" alt=""><figcaption><p>Entity settings page for a dataset</p></figcaption></figure>

## Information in the entity types list

For each entity type, the list includes:

* The name of the entity type.
* The number of detected values for that type in the dataset files. For ignored entity types, the detected value count is 0.
* The selected handling option.

The list is sorted in descending order by the number of detected values. The entity type with the highest number of detected values is at the top of the list.

## Filtering the entity types list

You can filter the entity types list by:

* Text in the type name or description.
* Whether the entity type is built-in or custom.
* Whether there are detected entities for the entity type.
* The handling option for the entity type

### Filtering by name or description

To filter by name or description, in the search field, begin to type text in the name or description. As you type, Textual filters the list to only include matching entity types.

<figure><img src="/files/Z08SD3PavEN6v2uttdR3" alt=""><figcaption><p>Filtering the entity types list by name</p></figcaption></figure>

### Applying other filters

To apply other filters, click **Filter options**, then select the filters to apply.

<figure><img src="/files/ypQoEOByiAeh24apxr0y" alt=""><figcaption><p>Filter options for dataset entity types</p></figcaption></figure>


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# 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/dataset-configure-redaction/textual-datasets-review-results/list-of-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.