How to handle self-intersecting GeoJson polygons in Elastic search

We are indexing geo-json polygons using the shape data type in Elastic Search. The polygons are provided to us from an external source. When indexing, some of the polygons fail with the following message.

"Unable to Tessellate shape [[12.775555, 61.54487] [12.797356, 61.53186] [12.795639, 61.549286] [12.832375, 61.54536] [12.775555, 61.54487] ]. Possible malformed shape detected."

We believe the issue is related to self-intersecting polygons. The polygons seem to be valid, according to e.g https://geojsonlint.com. Below is an example of a self-intersecting polygon:

{
        "type": "Polygon",
        "coordinates": [
          [
            [
              12.775554656982422,
              61.54486837329203
            ],
            [
              12.797355651855469,
              61.53186079051699
            ],
            [
              12.795639038085938,
              61.54928480379444
            ],
            [
              12.832374572753906,
              61.54535911881558
            ],
            [
              12.775554656982422,
              61.54486837329203
            ]
          ]
        ]
      }

This stack-overflow post seems to indicate that the correct way is to split the self-intersecting polygons into several polygons so that the above polygon would be split into 2 triangles. However the above post also uncovered a bug in Lucene, so we are a little confused about what to expect.

So, our question is, what is the suggested way to index self-intersecting polygons in Elasticsearch?

Thanks in advance!