Ehm... The semantic web as an idea was/is a totally different thing: the idea is the old libraries of Babel/Bibliotheca Universalis by Conrad Gessner (~1545) [1] or the ability to "narrow"|"select"|"find" just "the small bit of information I want". Observing that a book it's excellent to develop and share a specific topic, it have some indexes to help directly find specific information but that's not enough, a library of books can't be traversed quick enough to find a very specific bit of information like when John Smith was born and where.
The semantic web original idea was the interconnection of every bit of information in a format a machine can travel for a human, so the human can find any specific bit ever written with little to no effort without having to humanly scan pages of moderately related stuff.
We never achieve such goal. Some have tried to be more on the machine side, like WikiData, some have pushed to the extreme the library science SGML idea of universal classification not ended to JSON but all are failures because they are not universal nor easy to "select and assemble specific bit of information" on human queries.
LLMs are a, failed, tentative of achieve such result from another way, their hallucinations and slow formation of a model prove their substantial failure, they SEEMS to succeed for a distracted eye perceiving just the wow effect, but they practically fails.
Aside the issue with ALL test done on the metadata side of the spectrum so far is simple: in theory we can all be good citizens and carefully label anything, even classify following Dublin Core at al any single page, in practice very few do so, all the rest do not care, or ignoring the classification at all or badly implemented it, and as a result is like an archive with some missing documents, you'll always have holes in information breaking the credibility/practical usefulness of the tool.
Essentially that's why we keep using search engines every day, with classic keyword based matches and some extras around. Words are the common denominator for textual information and the larger slice of our information is textual.
[1] https://en.wikipedia.org/wiki/Bibliotheca_universalis