You'd be better off just saying "it uses satellites and stuff".
I think that's one of the biggest problems with using LLMs for accurate answers. A lot of the text that's very useful for modelling human language and questions is also full of factual errors and questionable opinions. Answers being wrong is a problem with old-fashioned web search too, but I think LLMs necessarily lean more on quantity rather than quality of content...
If you can do "here is the structured data, summarize it and make sure to present this information" it can do that quite well.
So far I've played with GPT doing a zero shot classification of HN titles and CSV hourly weather data to summary. In each case, it has done quite well.
Neither of those are things about what it "knows."
About half the (presumably human) "eli5 GPS" answers I found on Reddit made the same mistake, so chatGPT just copied an apparently popular misconception.