# Post Processing On prodigy

**URL:** <https://support.prodi.gy/t/post-processing-on-prodigy/5264>\
**Category:** Uncategorized\
**Tags:** usage, ner\
**Created:** [February 2, 2022, 3:31am UTC](https://support.prodi.gy/t/post-processing-on-prodigy/5264 "2022-02-02T03:31:20Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![arda](https://avatars.discourse-cdn.com/v4/letter/a/7c8e57/32.png) [@arda](https://support.prodi.gy/u/arda)\
**Post date:** [February 2, 2022, 3:31am UTC](https://support.prodi.gy/t/post-processing-on-prodigy/5264/1 "2022-02-02T03:31:20Z")

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Hi Everyone,  
I am new to Prodigy.  
Can I extract and showcase sentences with a particular entity in custom NER model while annotating in Prodigy??  
e.g. "XYZ is developing a new product. No one knows about it"  
What I want: Annotated results for the text with the NER.  
"XYZ (ORG) is developing a new product. No one knows about it.  
and  
extract the sentence XYZ is developing a new product.

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**Author:** ![ljvmiranda921](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/ljvmiranda921/32/3197_2.png) [@ljvmiranda921](https://support.prodi.gy/u/ljvmiranda921)\
**Post date:** [February 2, 2022, 7:26am UTC](https://support.prodi.gy/t/post-processing-on-prodigy/5264/2 "2022-02-02T07:26:01Z")

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Hi @arda, welcome to Prodigy!

Do you mean just showing the text with existing entities? If you already have the entities for a given document, you can first convert them into a [JSONL file that follows the `ner` format](https://prodi.gy/docs/api-interfaces#ner) and then use the [file loader](https://prodi.gy/docs/api-loaders#loaders-file) so that they're saved in a dataset. After that, you can load that dataset and continue annotating.

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<div class="post-metadata">

**Author:** ![arda](https://avatars.discourse-cdn.com/v4/letter/a/7c8e57/32.png) [@arda](https://support.prodi.gy/u/arda)\
**Post date:** [February 2, 2022, 10:31am UTC](https://support.prodi.gy/t/post-processing-on-prodigy/5264/3 "2022-02-02T10:31:59Z")

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Thanks @ljvmiranda921 for the reply.  
What I meant was extracting the sentence with entity "ORG" and showing it in the interface while annotating. Like a live dashboard.