Bag of words: Same process - different results

Bag of word is splitting text differently for no obvious reason. See marked region in attached image.

Background:

I am trying to match bank account data with a member list. Therefore i take some columns from both datsets and try to find similarities.

As part of this process I preprocess the data by combining the columns, convert to document, erase punctuation, and convert the case before I try to create the bag of words.

This is basically identical processing to both datasets.

Expected Behaviour

The document is splitted into terms basically at word-boundary on both documents.

Actual Behaviour

One does split it a word boundaries - where it originated from own field, and was at the first position (single word in the field).

It does split the word into two terms - where it was part of a longer text and at the end position.

Image of the flows and results

Image of the documents

KNIME 5.2

Linux Mínt 21.2