[sangfroid_bio]

This is a bog standard modern NLP problem, I love how all the comments here are on how impossible it is using traditional heuristics and quoting various pop neuroscience authors and anecdotes. You only need a sufficiently large language model (and fine-tuned on short location strings) and run Named Entity Recognition on the input. Tricky? Yes. But there is only a finite number of prefix names in the English language and should automated solutions fail, you can always fallback to using a natural language form. A large neural network based solution running in the cloud would be able to get to 95+% accuracy. It would not be perfect but is good enough for most use cases.