Transformation of DBS and Sigel data based on street address

* Transforms and merges data from DBS and Sigel using street address as id during morphing
* Updates transformation according to context
* Uses ISIL as id for organisations if available or Pseudo ISIL ("DBS-\<INR\>") if not (id is a URI, e.g. http://data.lobid.org/organisation/DE-9)
* Changes document type for Elasticsearch index from "dbs" to "organisation" and revises code accordingly
It should be possible to collapse these three `replace` functions with one, using a regex that matches all three. Something like `pattern="[\s\.\-]"` (square brackets define a regex character class, meaning `space or dot or dash`).