Also I've noticed that sometimes Wikimedia Commons will have categories for surnames (https://commons.wikimedia.org/wiki/Category:Surnames) that don't always have wikidata items. Some way of checking that en masse instead of manually sounds like a massive use case. Assuming I'm understanding what you're trying to do here correctly.
On Mon, Oct 12, 2026, 11:15 a.m. Hannah Clover < [email protected]> wrote: > Regarding things being mentioned in one place but not others, I think this > may have potential in other contexts. For example, something I've done off > and on throughout the years is create a few thousand redirects about > people's names. Sometimes people have middle names and it's pretty common > for women to have different last names at birth vs when they got married. A > list being created for community review to skip the most time lengthy part > of finding these gaps might be useful. > > On Mon, Oct 12, 2026, 11:08 a.m. Shani Evenstein Sigalov via Wikimedia-l < > [email protected]> wrote: > >> Hello all, >> >> I'm happy to share the first open release from AI-BRIDGES >> <https://ai-bridges.org>, funded by Wikimedia Switzerland >> <https://meta.wikimedia.org/wiki/Wikimedia_CH/Grant_apply/AI-BRIDGES:_Synthetic_Reasoning_Corpus> >> and delivered by Pleias <https://pleias.ai/>, with support from >> Wikimedia Deutschland. >> >> We built a harness that lets a language model explore a frozen, >> six-language Wikidata snapshot step by step, reading entities and citing >> the statements it used, rather than stuffing large amounts of data into its >> context, taking a Recursive Language Model approach. From it we generated a >> Synthetic Reasoning Corpus of exploration traces, released under CC0. >> >> A few results from the technical report: >> >> - >> >> 74 of 100 questions answered correctly by Qwen3.8-27B, an open-weight >> model on a single GPU, vs 61 for gpt-6-luna in the same harness >> - >> >> 10,235 solving traces released under CC0, over single-entity and >> multi-hop questions >> - >> >> The harness lifts both models we ran under both interfaces, with the >> gain mostly on multi-hop questions >> >> Of particular interest to editors: exploration surfaced cross-language >> inconsistencies and misplaced information (for example, nationality >> appearing in descriptions but not in statements). Nothing was edited >> automatically; the findings are in the report for community review. >> >> - >> >> Harness, code and benchmark (GitHub): >> https://github.com/aibridges/RLM_Wikidata >> >> >> - >> >> Corpus (Hugging Face): >> https://huggingface.co/datasets/AI-BRIDGES/wikidata-search-traces >> - >> >> Technical report: >> https://arxiv.org/abs/2610.06650 >> >> >> Next, we plan to train open Wikidata search models on this corpus and we >> would appreciate your help: if you work with GLAMs, Education, Research, >> especially in the Humanities, please send us real questions you'd want >> to ask Wikidata in plain language or in SPARQL >> <https://docs.google.com/document/d/1ipIzwSwf-xCtU7R7ewNCCND7vk0yha6byWMNs3OyIEc/edit?tab=t.0>, >> or via email: [email protected]. >> >> I'd like to take a moment to thank not just Pleias, WMCH & WMDE, but also >> our other core partners, WMUK & WM Brasil, as well as other partners -- >> organizations, institutions and so many wonderful individuals from this >> community -- for being part of the AI-BRIDGES journey and supporting it. >> >> Feedback, questions and critique are all very welcome on-list, on wiki >> <https://meta.wikimedia.org/wiki/Research:AI-BRIDGES> or privately. >> >> All best wishes, Shani. >> >> >> ----------------------- >> Dr. Shani Evenstein Sigalov >> Marie Curie Postdoctoral Research Fellow & AI-BRIDGES >> <https://ai-bridges.org/> lead >> Digital Humanities Research Hub, School of Advanced Study, University of >> London. >> _______________________________________________ >> 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/54MO3NDOYVUGV5D4G2AW3VZ2TZJ52IZR/ >> To unsubscribe send an email to [email protected] > >
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