Hi,
I just noticed that OpenAI has fixed the Wikidata property and item
mappings so now it can generate working SPARQL. Example:
Prompt : Search finnish female journaists using SPARQL from Wikidata?
*GPT-3.5 (default)*
> To search for Finnish female journalists using SPARQL from Wikidata, you
> can use the following query:
> SELECT ?journalistLabel
> WHERE
> {
> ?journalist wdt:P106 wd:Q1930187 .
> ?journalist wdt:P27 wd:Q33 .
> ?journalist wdt:P21 wd:Q6581072 .
> ?journalist wdt:P569 ?birthdate .
> ?journalist wdt:P21 ?gender .
> FILTER(YEAR(?birthdate) < 2005) .
> FILTER(?gender = wd:Q6581072) .
> SERVICE wikibase:label { bd:serviceParam wikibase:language "en" } .
> }
> This query will retrieve the labels (names) of all female journalists who
> were born before the year 2005, are Finnish citizens, and have a profession
> (P106) of journalist (Q1930187). You can execute this query on the Wikidata
> Query Service (https://query.wikidata.org/) by pasting the query into the
> query editor and clicking the "Run" button. The results will be displayed
> in a table format.
*GPT-4*
To search for Finnish female journalists using SPARQL on Wikidata, you can
> use the following query:
>
SELECT ?journalist ?journalistLabel WHERE {
> ?journalist wdt:P31 wd:Q5; # instance of human
> wdt:P106 wd:Q1930187; # occupation: journalist
> wdt:P21 wd:Q6581072; # gender: female
> wdt:P27 wd:Q33. # country of citizenship: Finland
> SERVICE wikibase:label { bd:serviceParam wikibase:language "fi,en". }
> }
> This query searches for entities that are instances of human (Q5), have an
> occupation as a journalist (Q1930187), are female (Q6581072), and have
> Finnish citizenship (Q33). The query results will include the journalist's
> Wikidata ID and their label (name) in Finnish or English. You can run this
> query using the Wikidata Query Service (https://query.wikidata.org/).
Br,
-- Kimmo Virtanen, Zache
On Thu, Mar 23, 2023 at 8:07 AM Erik Moeller <[email protected]> wrote:
> On Wed, Mar 22, 2023 at 11:53 AM Lauren Worden <[email protected]>
> wrote:
> > BARD also produces lengthy passages from its training data verbatim
> > without elicitation:
> >
> https://old.reddit.com/r/Bard/comments/11xxaxj/bard_copied_user_text_from_a_forum_word_for_word/jd58764/
>
> Very true. I tested the "Mr. Ripley" example with Bard, and it
> instantly reproduced the exact language of the Wikipedia article's
> lede section; only the remainder of the generation was substantially
> different. [1]
>
> Warmly,
> Erik
>
> [1] https://social.coop/@eloquence/110071078132245483
> _______________________________________________
> Wikimedia-l mailing list -- [email protected], guidelines
> at: https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and
> https://meta.wikimedia.org/wiki/Wikimedia-l
> Public archives at
> https://lists.wikimedia.org/hyperkitty/list/[email protected]/message/V55NYC4RY5O53TABK4O625AJ4HYAAFJA/
> To unsubscribe send an email to [email protected]
_______________________________________________
Wikimedia-l mailing list -- [email protected], guidelines at:
https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and
https://meta.wikimedia.org/wiki/Wikimedia-l
Public archives at
https://lists.wikimedia.org/hyperkitty/list/[email protected]/message/IZVYC6IYGCKCAH5AEJBQNEFMGSVKPR5B/
To unsubscribe send an email to [email protected]
