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There is a method that could help immensely when answering questions like these. E.g. some of these question may be answered quite quickly using WikiData [0] (a
by druskacik 2y ago
There is a method that could help immensely when answering questions like these. E.g. some of these question may be answered quite quickly using WikiData [0] (answer to question about the recipients of Medal of Freedom, query written with the help of Claude), instead of just scraping and compiling information from potentially hundreds of websites. I believe this idea is quite under-explored compared to just blindly putting everything to the model's context.
[0] https://query.wikidata.org/#SELECT%20%28COUNT%28DISTINCT%20%3Fperson%29%20AS%20%3Fcount%29%20%3FcountryLabel%0AWHERE%20%7B%0A%20%20%3Fperson%20wdt%3AP166%20wd%3AQ17144%20.%20%20%23%20Person%20received%20Presidential%20Medal%20of%20Freedom%0A%20%20%3Fperson%20wdt%3AP19%20%3FbirthPlace%20.%20%20%23%20Person%27s%20place%20of%20birth%0A%20%20%3FbirthPlace%20wdt%3AP17%20%3Fcountry%20.%20%23%20Country%20of%20birth%20place%0A%20%20%0A%20%20FILTER%28%3Fcountry%20%21%3D%20wd%3AQ30%29%20%20%20%20%23%20Filter%20out%20United%20States%20%28Q30%29%0A%20%20%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%7D%0AGROUP%20BY%20%3FcountryLabel%0AORDER%20BY%20DESC%28%3Fcount%29 https://query.wikidata.org/#SELECT%20%28COUNT%28DISTINCT%20%...
- kreyenborgi 2y agoYeah, I've used gpt to create wikidata queries for me, it worked great :-)