  We introduce Natlog, a lightweight Logic Programming language, sharing
Prolog's unification-driven execution model, but with a simplified syntax and
semantics. Our proof-of-concept Natlog implementation is tightly embedded in
the Python-based deep-learning ecosystem with focus on content-driven indexing
of ground term datasets. As an overriding of our symbolic indexing algorithm,
the same function can be delegated to a neural network, serving ground facts to
Natlog's resolution engine. Our open-source implementation is available as a
Python package at https://pypi.org/project/natlog/ .
