# NEL multiple results

**URL:** <https://support.prodi.gy/t/nel-multiple-results/4805>\
**Category:** Uncategorized\
**Tags:** usage, nel\
**Created:** [October 14, 2021, 9:38am UTC](https://support.prodi.gy/t/nel-multiple-results/4805 "2021-10-14T09:38:43Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![Thomas\_Allan](https://avatars.discourse-cdn.com/v4/letter/t/5e9695/32.png) [@Thomas\_Allan](https://support.prodi.gy/u/Thomas_Allan)\
**Post date:** [October 14, 2021, 9:38am UTC](https://support.prodi.gy/t/nel-multiple-results/4805/1 "2021-10-14T09:38:43Z")

</div>

Hi,

I've been tasked with evaluating different solutions for an upcoming project.

We're looking at Named Entity Linking of WikiData entities. I've watched the videos of the annotation and linking of a corpus through Prodigy and Spacy. But it only deals with single instances.

Is it possible to annotate multiple names in a text and will the Spacy model be able to return multiple WikiData QUIDs for a given text? If so, is there any documentation?

Or am I wrong and that the loop at the end of the video

```python
for ent in doc.ents:
    print(ent.text, ent.label_, ent.kb_id_)

```

Would produce multiple WikiData QUIDs given a large string of text?

With Prodigy, would I develop a custom recipe, or would having a custom workflow to tag multiple entities be a better solution for our needs?

I've had a quick look through the questions on the forum and I can't see that this question has been asked previously.

Thanks

---

<div class="post-metadata">

**Author:** ![SofieVL](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/sofievl/32/915_2.png) [@SofieVL](https://support.prodi.gy/u/SofieVL)\
**Post date:** [October 14, 2021, 1:17pm UTC](https://support.prodi.gy/t/nel-multiple-results/4805/2 "2021-10-14T13:17:02Z")

</div>

Hi!

> I've watched the videos of the annotation and linking of a corpus through Prodigy and Spacy. But it only deals with single instances.  
> Is it possible to annotate multiple names in a text and will the Spacy model be able to return multiple WikiData QUIDs for a given text?

I think there may be some confusion here as to what the EL does. Basically it depends on the NER step, which labels entities in a text, such as persons, organisations, etc. The EL step then assigns **1 unique identifier to each such entity**. There can be multiple entities in one sentence, and each may receive a distinct ID after the EL step.

> With Prodigy, would I develop a custom recipe, or would having a custom workflow to tag multiple entities be a better solution for our needs?

I'm not sure I fully understand your question. Can you expand a bit on your use-case, the type of data you currently have, and what you want to achieve ideally with Prodigy? Then I can try and give you some more specific advice 🙂