The problem is that we're trying to formalise relationships that make perfect sense
in natural language by assuming the same relationships make perfect sense in code.
"Sword" instances may have specific properties that make them incompatible with a "weapon" superclass. Is a broken sword still a weapon? How about a sword with no handle? Or a sword that has been magically transformed into a flower? Is that still a sword and a weapon, or is it now "really" a flower, and should inherit all flower methods while throwing away all weapon methods?
You can duck type and/or RTTI your way out of this problem, but you can't avoid the fact that traditional OOP is very bad at handling these "it depends" cases, because the only relationship it supports is a strict and static inheritance hierarchy.
Unfortunately many domains, including natural language, can only be described by mutable context-dependent relationships.
In the real world, swords don't turn into flowers, so you might think you're safe. (Except that you might want to include object mutability in a game...)
But in NL the meaning of a phrase can change according to social setting, unstated subtext, speaker gender, age, and even time of day. It's all context, and it can't be ignored without losing essential detail.
All current typing systems seem to be attempts to enforce limited-scope static relationships between opaque atomic objects with more or less static properties.
Mutable context-dependent relationships are everyone's worst nightmare in CS. Academic CS seems to have spent most of its career trying to pretend they don't exist, or if they do, to make them go away.
This is sold on the basis of making more reliable code. In fact it simply doesn't work elegantly for entire classes of problems, including many problems for which it seems to work just fine if you describe them in words, until you have to think about all the possible details.
The worst case output is intolerant brittle code with limited features, and the best is an encrustation of exceptions, edge cases, and work-arounds.
Note I'm not saying there's a simple answer, because there isn't. This is a research-grade problem, and it's barely been considered.
I am saying - beware of simple principles like LSP that claim to solve this problem. Because there are many situations in which they simply don't.