Please read the following table in HTML format from a webpage and then answer the question in detail according to the table. Each table cell is defined by a <td> and a </td> tag. Each table row starts with a <tr> and ends with a </tr> tag. 'rowspan=m' and 'colspan=n' represents a cell spaning over 'm' rows and 'n' columns.

Webpage title:
Rosângela Santos
Table title:
International competitions
Table:
<table id='hittask' contenteditable='False'>
<tr> <th colspan=1 rowspan=1 > Year </th><th colspan=1 rowspan=1 > Competition </th><th colspan=1 rowspan=1 > Venue </th><th colspan=1 rowspan=1 > Position </th><th colspan=1 rowspan=1 > Event </th><th colspan=1 rowspan=1 > Notes </th></tr>
<tr> <th colspan=6 rowspan=1 > Representing Brazil </th></tr>
<tr> <td colspan=1 rowspan=3 > 2006 </td><td colspan=1 rowspan=3 > South American Youth Championships </td><td colspan=1 rowspan=3 > Caracas, Venezuela </td><td colspan=1 rowspan=1 > 2nd </td><td colspan=1 rowspan=1 > 100 m </td><td colspan=1 rowspan=1 > 11.95 (+0.4 m/s) </td></tr>
<tr> <td colspan=1 rowspan=1 > 1st </td><td colspan=1 rowspan=1 > 4 × 100 m relay </td><td colspan=1 rowspan=1 > 46.20 </td></tr>
<tr> <td colspan=1 rowspan=1 > 1st </td><td colspan=1 rowspan=1 > 1000 m medley relay </td><td colspan=1 rowspan=1 > 2:12.03 </td></tr>
<tr> <td colspan=1 rowspan=5 > 2008 </td><td colspan=1 rowspan=2 > World Junior Championships </td><td colspan=1 rowspan=2 > Bydgoszcz, Poland </td><td colspan=1 rowspan=1 > 4th </td><td colspan=1 rowspan=1 > 100 m </td><td colspan=1 rowspan=1 > 11.63 (-0.6 m/s) </td></tr>
<tr> <td colspan=1 rowspan=1 > 3rd </td><td colspan=1 rowspan=1 > 4 × 100 m relay </td><td colspan=1 rowspan=1 > 44.61 </td></tr>
<tr> <td colspan=1 rowspan=2 > South American U23 Championships </td><td colspan=1 rowspan=2 > Lima, Perú </td><td colspan=1 rowspan=1 > 1st </td><td colspan=1 rowspan=1 > 100 m </td><td colspan=1 rowspan=1 > 11.91 (-2.5 m/s) </td></tr>
<tr> <td colspan=1 rowspan=1 > 1st </td><td colspan=1 rowspan=1 > 4 × 100 m relay </td><td colspan=1 rowspan=1 > 45.76 </td></tr>
<tr> <td colspan=1 rowspan=1 > Olympic Games </td><td colspan=1 rowspan=1 > Beijing, China </td><td colspan=1 rowspan=1 > 3rd </td><td colspan=1 rowspan=1 > 4 × 100 m relay </td><td colspan=1 rowspan=1 > 43.14 </td></tr>
<tr> <td colspan=1 rowspan=6 > 2015 </td><td colspan=1 rowspan=3 > World Championships </td><td colspan=1 rowspan=3 > Beijing, China </td><td colspan=1 rowspan=1 > 12th (sf) </td><td colspan=1 rowspan=1 > 100 m </td><td colspan=1 rowspan=1 > 11.07 </td></tr>
<tr> <td colspan=1 rowspan=1 > 13th (sf) </td><td colspan=1 rowspan=1 > 200 m </td><td colspan=1 rowspan=1 > 22.87 </td></tr>
<tr> <td colspan=1 rowspan=1 > 9th (h) </td><td colspan=1 rowspan=1 > 4 × 100 m relay </td><td colspan=1 rowspan=1 > 43.15 </td></tr>
<tr> <td colspan=1 rowspan=3 > Military World Games </td><td colspan=1 rowspan=3 > Mungyeong, South Korea </td><td colspan=1 rowspan=1 > 1st </td><td colspan=1 rowspan=1 > 100 m </td><td colspan=1 rowspan=1 > 11.17 GR </td></tr>
<tr> <td colspan=1 rowspan=1 > 3rd </td><td colspan=1 rowspan=1 > 200 m </td><td colspan=1 rowspan=1 > 23.38 </td></tr>
<tr> <td colspan=1 rowspan=1 > 1st </td><td colspan=1 rowspan=1 > 4 × 100 m relay </td><td colspan=1 rowspan=1 > 43.87 </td></tr>
<tr> <td colspan=1 rowspan=4 > 2016 </td><td colspan=1 rowspan=1 > World Indoor Championships </td><td colspan=1 rowspan=1 > Portland, United States </td><td colspan=1 rowspan=1 > 11th (sf) </td><td colspan=1 rowspan=1 > 60 m </td><td colspan=1 rowspan=1 > 7.20 </td></tr>
<tr> <td colspan=1 rowspan=1 > Ibero-American Championships </td><td colspan=1 rowspan=1 > Rio de Janeiro, Brazil </td><td colspan=1 rowspan=1 > 1st </td><td colspan=1 rowspan=1 > 100 m </td><td colspan=1 rowspan=1 > 11.24 </td></tr>
<tr> <td colspan=1 rowspan=2 > Olympic Games </td><td colspan=1 rowspan=2 > Rio de Janeiro, Brazil </td><td colspan=1 rowspan=1 > 18th (sf) </td><td colspan=1 rowspan=1 > 100 m </td><td colspan=1 rowspan=1 > 11.23 </td></tr>
<tr> <td colspan=1 rowspan=1 > – </td><td colspan=1 rowspan=1 > 4 × 100 m relay </td><td colspan=1 rowspan=1 > DQ </td></tr>
<tr> <td class="highlighted"  colspan=1 rowspan=7 > 2017 </td><td colspan=1 rowspan=1 > IAAF World Relays </td><td colspan=1 rowspan=1 > Nassau, Bahamas </td><td colspan=1 rowspan=1 > 8th (h) </td><td colspan=1 rowspan=1 > 4 × 100 m relay </td><td colspan=1 rowspan=1 > 44.201 </td></tr>
<tr> <td colspan=1 rowspan=3 > South American Championships </td><td colspan=1 rowspan=3 > Asunción, Paraguay </td><td colspan=1 rowspan=1 > 2nd (h) </td><td colspan=1 rowspan=1 > 100 m </td><td colspan=1 rowspan=1 > 11.08 (w)2 </td></tr>
<tr> <td colspan=1 rowspan=1 > 6th (h) </td><td colspan=1 rowspan=1 > 200 m </td><td colspan=1 rowspan=1 > 23.39 (w)3 </td></tr>
<tr> <td colspan=1 rowspan=1 > 1st </td><td colspan=1 rowspan=1 > 4 × 100 m relay </td><td colspan=1 rowspan=1 > 43.12 </td></tr>
<tr> <td class="highlighted"  colspan=1 rowspan=3 > World Championships </td><td class="highlighted"  colspan=1 rowspan=3 > London, United Kingdom </td><td colspan=1 rowspan=1 > 7th </td><td class="highlighted"  colspan=1 rowspan=1 > 100 m </td><td colspan=1 rowspan=1 > 11.06 </td></tr>
<tr> <td colspan=1 rowspan=1 > 20th (h) </td><td colspan=1 rowspan=1 > 200 m </td><td colspan=1 rowspan=1 > 23.344 </td></tr>
<tr> <td colspan=1 rowspan=1 > 7th </td><td colspan=1 rowspan=1 > 4 × 100 m relay </td><td colspan=1 rowspan=1 > 42.63 </td></tr>
<tr> <td colspan=1 rowspan=4 > 2018 </td><td colspan=1 rowspan=1 > World Indoor Championships </td><td colspan=1 rowspan=1 > Birmingham, United Kingdom </td><td colspan=1 rowspan=1 > 24th (h) </td><td colspan=1 rowspan=1 > 60 m </td><td colspan=1 rowspan=1 > 7.32 </td></tr>
<tr> <td colspan=1 rowspan=1 > South American Games </td><td colspan=1 rowspan=1 > Cochabamba, Bolivia </td><td colspan=1 rowspan=1 > 6th </td><td colspan=1 rowspan=1 > 100 m </td><td colspan=1 rowspan=1 > 11.39 </td></tr>
<tr> <td colspan=1 rowspan=2 > Ibero-American Championships </td><td colspan=1 rowspan=2 > Trujillo, Peru </td><td colspan=1 rowspan=1 > 3rd </td><td colspan=1 rowspan=1 > 100 m </td><td colspan=1 rowspan=1 > 11.44 </td></tr>
<tr> <td colspan=1 rowspan=1 > 2nd </td><td colspan=1 rowspan=1 > 200 m </td><td colspan=1 rowspan=1 > 23.92 </td></tr>
</table>
Question:
Which discipline did Rosângela Santos took part in at the 2017 World Championships in London, and what is her nationality?
Answer:
At the 2017 World Championships in London, Rosângela was a Brazilian who raced in the 100 m.