a quick update on this one..I was able to solve it, maybe not in the most elegant way but worked.
I used the REGEX split by:
-look up the scenarios possible in the source data, e.g. 00/00, 000/00, 0000/00 etc.
-defined the conditions in the regex node for all scenarios, using the symbol for "or" (" | ").
For each scenario defined Knime attached one column "split_X".
The output data was then populated in the respective added colum wherever one of the conditions was met...e.g. data for 00/00 format was in the appended column "split 1", all the rest was empty, 000/00 was in "split2 and "split 1" and all the rest was empty.
Then I just used column combiner for all columns containing "split_n" to be concatenated to one (using regex there as "split_.*" automatically adding all split column), add a string replacer as a next step to remove the "?" symbols for blanks and then a column filter to get rid again of the split columns..all wrapped into a meta node...
The "problem" with .+ and especially .* in regular expresions is that they are greedy. This means they try to match as many characters as possible. This means a .* eats up as much characters as it can and if you have more .* in the regex they will match the remaining (empty) string. Moreover, if you only need parts of the string I recommend using the String Replace node and let it create a new column instead of the splitter. For your example something like ".*?\s+(\d+/\d+)\s+.*" as search pattern and "$1" as replacement should do the job.