Hi there!
It might help to have a bit more background to answer your question. I've had a quick look at the dataset and it seems to have examples like this:
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So it looks like geo-terms.jsonl is a dataset that you've extracted via db-out? I'm not sure what recipe was used, but I'm getting the impression that you've used a NER interface with some sort of a custom BERT tokeniser under the hood? Could you share which recipe you've used?
You can use multiple annotated datasets to train a single model, but it you'll want to make sure that both datasets used the same tokenizer.
Side note
You might appreciate this thread where I help a user train a custom spaCy BERT model via Prodigy: