diff --git a/poetry.lock b/poetry.lock
index 73bfa10..ed49491 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -11,6 +11,37 @@ files = [
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 ]
 
+[[package]]
+name = "anyio"
+version = "4.4.0"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
+idna = ">=2.8"
+sniffio = ">=1.1"
+
+[package.extras]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
+
+[[package]]
+name = "certifi"
+version = "2024.7.4"
+description = "Python package for providing Mozilla's CA Bundle."
+optional = false
+python-versions = ">=3.6"
+files = [
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+]
+
 [[package]]
 name = "click"
 version = "8.1.7"
@@ -38,63 +69,83 @@ files = [
 
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+]
+
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+description = "Markdown URL utilities"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "packaging"
 version = "24.1"
@@ -298,6 +664,20 @@ files = [
 [package.dependencies]
 typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
+[[package]]
+name = "pygments"
+version = "2.18.0"
+description = "Pygments is a syntax highlighting package written in Python."
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.extras]
+windows-terminal = ["colorama (>=0.4.6)"]
+
 [[package]]
 name = "pyparsing"
 version = "3.1.2"
@@ -314,13 +694,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pytest"
-version = "8.3.1"
+version = "8.3.2"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -364,6 +744,96 @@ files = [
 [package.dependencies]
 pytest = "*"
 
+[[package]]
+name = "python-dotenv"
+version = "1.0.1"
+description = "Read key-value pairs from a .env file and set them as environment variables"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.extras]
+cli = ["click (>=5.0)"]
+
+[[package]]
+name = "python-multipart"
+version = "0.0.9"
+description = "A streaming multipart parser for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[[package]]
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+version = "6.0.2"
+description = "YAML parser and emitter for Python"
+optional = false
+python-versions = ">=3.8"
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+]
+
 [[package]]
 name = "rdflib"
 version = "7.0.0"
@@ -385,31 +855,60 @@ html = ["html5lib (>=1.0,<2.0)"]
 lxml = ["lxml (>=4.3.0,<5.0.0)"]
 networkx = ["networkx (>=2.0.0,<3.0.0)"]
 
+[[package]]
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+version = "13.7.1"
+description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
+optional = false
+python-versions = ">=3.7.0"
+files = [
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+
+[package.dependencies]
+markdown-it-py = ">=2.2.0"
+pygments = ">=2.13.0,<3.0.0"
+
+[package.extras]
+jupyter = ["ipywidgets (>=7.5.1,<9)"]
+
 [[package]]
 name = "ruff"
-version = "0.5.4"
+version = "0.5.7"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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 pandas = ["pandas (>=1.3.5)"]
 
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+    {file = "websockets-12.0.tar.gz", hash = "sha256:81df9cbcbb6c260de1e007e58c011bfebe2dafc8435107b0537f393dd38c8b1b"},
+]
+
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "19d4d0682490336d67ea3aab0f28b54347ff8083cd3e9ec28856506adaac4bd6"
+content-hash = "26bc2f41935b2c8341a2ec2e1321d523eaa59b0708a6c61e55b1b08754a1e226"
diff --git a/pyproject.toml b/pyproject.toml
index 3b3a86d..ccfcad3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,8 +8,9 @@ readme = "README.md"
 [tool.poetry.dependencies]
 python = "^3.11"
 sparqlwrapper = "^2.0.0"
-toolz = "^0.12.1"
 pydantic = "^2.8.2"
+fastapi = {extras = ["standard"], version = "^0.112.0"}
+typeguard = "^4.3.0"
 
 
 [tool.poetry.group.dev.dependencies]
diff --git a/rdfproxy/adapter.py b/rdfproxy/adapter.py
index da9ece9..6deb7b0 100644
--- a/rdfproxy/adapter.py
+++ b/rdfproxy/adapter.py
@@ -1,87 +1,203 @@
-"""SPARQLModelAdapter class for QueryResult to Pydantic model conversions."""
+"""SPARQLModelAdapter class for SPARQL query result set to Pydantic model conversions."""
 
-from collections.abc import Iterable
-from typing import cast
+from collections import defaultdict
+from collections.abc import Iterator
+import math
+from typing import Any, Generic, overload
+
+from typeguard import typechecked
 
 from SPARQLWrapper import JSON, QueryResult, SPARQLWrapper
-from pydantic import BaseModel
-from rdfproxy.utils._types import _TModelConstructorCallable, _TModelInstance
+from rdfproxy.utils._exceptions import (
+    InterdependentParametersException,
+    UndefinedBindingException,
+)
+from rdfproxy.utils._types import _TModelInstance
+from rdfproxy.utils.models import Page
+from rdfproxy.utils.sparql.sparql_templates import ungrouped_pagination_base_query
+from rdfproxy.utils.sparql.sparql_utils import (
+    calculate_offset,
+    construct_count_query,
+    construct_grouped_count_query,
+    construct_grouped_pagination_query,
+    query_with_wrapper,
+    temporary_query_override,
+)
 from rdfproxy.utils.utils import (
     get_bindings_from_query_result,
     instantiate_model_from_kwargs,
 )
 
 
-class SPARQLModelAdapter:
-    """Adapter/Mapper for QueryResult to Pydantic model conversions.
-
-    The rdfproxy.SPARQLModelAdapter class allows to run a query against an endpoint
-    and map a flat SPARQL query result set to a potentially nested Pydantic model.
-
-    Example:
-
-        from SPARQLWrapper import SPARQLWrapper
-        from pydantic import BaseModel
-        from rdfproxy import SPARQLModelAdapter, _TModelInstance
-
-        class SimpleModel(BaseModel):
-            x: int
-            y: int
-
-        class NestedModel(BaseModel):
-            a: str
-            b: SimpleModel
-
-        class ComplexModel(BaseModel):
-            p: str
-            q: NestedModel
-
+@typechecked
+class SPARQLModelAdapter(Generic[_TModelInstance]):
+    """Adapter/Mapper for SPARQL query result set to Pydantic model conversions.
 
-        sparql_wrapper = SPARQLWrapper("https://query.wikidata.org/bigdata/namespace/wdq/sparql")
-
-        query = '''
-            select ?x ?y ?a ?p
-            where {
-                values (?x ?y ?a ?p) {
-                    (1 2 "a value" "p value")
-                }
-            }
-        '''
-
-        adapter = SPARQLModelAdapter(sparql_wrapper=sparql_wrapper)
-        models: list[_TModelInstance] = adapter(query=query, model_constructor=ComplexModel)
+    The rdfproxy.SPARQLModelAdapter class allows to run a query against an endpoint,
+    map a flat SPARQL query result set to a potentially nested Pydantic model and
+    optionally paginate and/or group the results by a SPARQL binding.
     """
 
-    def __init__(self, sparql_wrapper: SPARQLWrapper) -> None:
-        self.sparql_wrapper = sparql_wrapper
-
-        if self.sparql_wrapper.returnFormat != "json":
-            self.sparql_wrapper.setReturnFormat(JSON)
+    def __init__(
+        self, target: str | SPARQLWrapper, query: str, model: type[_TModelInstance]
+    ) -> None:
+        self._query = query
+        self._model = model
 
-    def __call__(
-        self,
-        query: str,
-        model_constructor: type[_TModelInstance] | _TModelConstructorCallable,
-    ) -> Iterable[_TModelInstance]:
+        self.sparql_wrapper: SPARQLWrapper = (
+            SPARQLWrapper(target) if isinstance(target, str) else target
+        )
+        self.sparql_wrapper.setReturnFormat(JSON)
         self.sparql_wrapper.setQuery(query)
-        query_result: QueryResult = self.sparql_wrapper.query()
 
-        if isinstance(model_constructor, type(BaseModel)):
-            model_constructor = cast(type[_TModelInstance], model_constructor)
+    @overload
+    def query(self) -> list[_TModelInstance]: ...
+
+    @overload
+    def query(
+        self,
+        *,
+        group_by: str,
+    ) -> dict[str, list[_TModelInstance]]: ...
 
-            bindings = get_bindings_from_query_result(query_result)
-            models: list[_TModelInstance] = [
-                instantiate_model_from_kwargs(model_constructor, **binding)
-                for binding in bindings
-            ]
+    @overload
+    def query(
+        self,
+        *,
+        page: int,
+        size: int,
+    ) -> Page[_TModelInstance]: ...
 
-        elif isinstance(model_constructor, _TModelConstructorCallable):
-            models: Iterable[_TModelInstance] = model_constructor(query_result)
+    @overload
+    def query(
+        self,
+        *,
+        page: int,
+        size: int,
+        group_by: str,
+    ) -> Page[_TModelInstance]: ...
 
+    def query(
+        self,
+        *,
+        page: int | None = None,
+        size: int | None = None,
+        group_by: str | None = None,
+    ) -> (
+        list[_TModelInstance] | dict[str, list[_TModelInstance]] | Page[_TModelInstance]
+    ):
+        """Run query against endpoint and map the SPARQL query result set to a Pydantic model.
+
+        Optional pagination and/or grouping by a SPARQL binding is avaible by
+        supplying the group_by and/or page/size parameters.
+        """
+        match page, size, group_by:
+            case None, None, None:
+                return self._query_collect_models()
+            case int(), int(), None:
+                return self._query_paginate_ungrouped(page=page, size=size)
+            case None, None, str():
+                return self._query_group_by(group_by=group_by)
+            case int(), int(), str():
+                return self._query_paginate_grouped(
+                    page=page, size=size, group_by=group_by
+                )
+            case (None, int(), Any()) | (int(), None, Any()):
+                raise InterdependentParametersException(
+                    "Parameters 'page' and 'size' are mutually dependent."
+                )
+            case _:
+                raise Exception("This should never happen.")
+
+    def _query_generate_model_bindings_mapping(
+        self, query: str | None = None
+    ) -> Iterator[tuple[_TModelInstance, dict[str, Any]]]:
+        """Run query, construct model instances and generate a model-bindings mapping.
+
+        The query parameter defaults to the initially defined query and
+        is run against the endpoint defined in the SPARQLModelAdapter instance.
+
+        Note: The coupling of model instances with flat SPARQL results
+        allows for easier and more efficient grouping operations (see grouping functionality).
+        """
+        if query is None:
+            query_result: QueryResult = self.sparql_wrapper.query()
         else:
-            raise TypeError(
-                "Argument 'model_constructor' must be a model class "
-                "or a model constructor callable."
-            )
-
-        return models
+            with temporary_query_override(self.sparql_wrapper):
+                self.sparql_wrapper.setQuery(query)
+                query_result: QueryResult = self.sparql_wrapper.query()
+
+        _bindings = get_bindings_from_query_result(query_result)
+
+        for bindings in _bindings:
+            model = instantiate_model_from_kwargs(self._model, **bindings)
+            yield model, bindings
+
+    def _query_collect_models(self, query: str | None = None) -> list[_TModelInstance]:
+        """Run query against endpoint and collect model instances."""
+        return [
+            model
+            for model, _ in self._query_generate_model_bindings_mapping(query=query)
+        ]
+
+    def _query_group_by(
+        self, group_by: str, query: str | None = None
+    ) -> dict[str, list[_TModelInstance]]:
+        """Run query against endpoint and group results by a SPARQL binding."""
+        group = defaultdict(list)
+
+        for model, bindings in self._query_generate_model_bindings_mapping(query):
+            try:
+                key = bindings[group_by]
+            except KeyError:
+                raise UndefinedBindingException(
+                    f"SPARQL binding '{group_by}' requested for grouping "
+                    f"not in query projection '{bindings}'."
+                )
+
+            group[str(key)].append(model)
+
+        return group
+
+    def _get_count(self, query: str) -> int:
+        """Construct a count query from the initialized query, run it and return the count result."""
+        result = query_with_wrapper(query=query, sparql_wrapper=self.sparql_wrapper)
+        return int(next(result)["cnt"])
+
+    def _query_paginate_ungrouped(self, page: int, size: int) -> Page[_TModelInstance]:
+        """Run query with pagination according to page and size.
+
+        The internal query is dynamically modified according to page (offset)/size (limit)
+        and run with SPARQLModelAdapter._query_collect_models.
+        """
+        paginated_query = ungrouped_pagination_base_query.substitute(
+            query=self._query, offset=calculate_offset(page, size), limit=size
+        )
+        count_query = construct_count_query(self._query)
+
+        items = self._query_collect_models(query=paginated_query)
+        total = self._get_count(count_query)
+        pages = math.ceil(total / size)
+
+        return Page(items=items, page=page, size=size, total=total, pages=pages)
+
+    def _query_paginate_grouped(
+        self, page: int, size: int, group_by: str
+    ) -> Page[_TModelInstance]:
+        """Run query with pagination according to page/size and group result by a SPARQL binding.
+
+        The internal query is dynamically modified according to page (offset)/size (limit)
+        and run with SPARQLModelAdapter._query_group_by.
+        """
+        grouped_paginated_query = construct_grouped_pagination_query(
+            query=self._query, page=page, size=size, group_by=group_by
+        )
+        grouped_count_query = construct_grouped_count_query(
+            query=self._query, group_by=group_by
+        )
+
+        items = self._query_group_by(group_by=group_by, query=grouped_paginated_query)
+        total = self._get_count(grouped_count_query)
+        pages = math.ceil(total / size)
+
+        return Page(items=items, page=page, size=size, total=total, pages=pages)
diff --git a/rdfproxy/utils/_exceptions.py b/rdfproxy/utils/_exceptions.py
new file mode 100644
index 0000000..2a4d219
--- /dev/null
+++ b/rdfproxy/utils/_exceptions.py
@@ -0,0 +1,9 @@
+"""Custom exceptions for RDFProxy."""
+
+
+class UndefinedBindingException(KeyError):
+    """Exception for indicating that a requested key could not be retrieved from a SPARQL binding mapping."""
+
+
+class InterdependentParametersException(Exception):
+    """Exceptiono for indicating that two or more parameters are interdependent."""
diff --git a/rdfproxy/utils/_types.py b/rdfproxy/utils/_types.py
index 65bc1bf..899327e 100644
--- a/rdfproxy/utils/_types.py
+++ b/rdfproxy/utils/_types.py
@@ -15,3 +15,24 @@ class _TModelConstructorCallable(Protocol[_TModelInstance]):
     """Callback protocol for model constructor callables."""
 
     def __call__(self, query_result: QueryResult) -> Iterable[_TModelInstance]: ...
+
+
+class SPARQLBinding(str):
+    """SPARQLBinding type for explicit SPARQL binding to model field allocation.
+
+    This type's intended use is with typing.Annotated in the context of a Pyantic field definition.
+
+    Example:
+
+        class Work(BaseModel):
+           name: Annotated[str, SPARQLBinding("title")]
+
+        class Person(BaseModel):
+            name: str
+            work: Work
+
+    This signals to the RDFProxy SPARQL-to-model mapping logic
+    to use the "title" SPARQL binding (not the "name" binding) to populate the Work.name field.
+    """
+
+    ...
diff --git a/rdfproxy/utils/models.py b/rdfproxy/utils/models.py
new file mode 100644
index 0000000..d4ec9e4
--- /dev/null
+++ b/rdfproxy/utils/models.py
@@ -0,0 +1,23 @@
+"""Pydantic Model definitions for rdfproxy."""
+
+from typing import Generic
+
+from pydantic import BaseModel
+from rdfproxy.utils._types import _TModelInstance
+
+
+class Page(BaseModel, Generic[_TModelInstance]):
+    """Page model for rdfproxy pagination functionality.
+
+    This model is loosely inspired by the fastapi-pagination Page class,
+    see https://github.com/uriyyo/fastapi-pagination.
+
+    Also see https://docs.pydantic.dev/latest/concepts/models/#generic-models
+    for Generic Pydantic models.
+    """
+
+    items: list[_TModelInstance] | dict[str, list[_TModelInstance]]
+    page: int
+    size: int
+    total: int
+    pages: int
diff --git a/rdfproxy/utils/sparql/sparql_templates.py b/rdfproxy/utils/sparql/sparql_templates.py
new file mode 100644
index 0000000..f9b141c
--- /dev/null
+++ b/rdfproxy/utils/sparql/sparql_templates.py
@@ -0,0 +1,10 @@
+"""SPARQL Query templates for RDFProxy paginations."""
+
+from string import Template
+
+
+ungrouped_pagination_base_query = Template("""
+$query
+limit $limit
+offset $offset
+""")
diff --git a/rdfproxy/utils/sparql/sparql_utils.py b/rdfproxy/utils/sparql/sparql_utils.py
new file mode 100644
index 0000000..146fabf
--- /dev/null
+++ b/rdfproxy/utils/sparql/sparql_utils.py
@@ -0,0 +1,125 @@
+"""Functionality for dynamic SPARQL query modifcation."""
+
+from collections.abc import Iterator
+from contextlib import contextmanager
+import re
+
+from SPARQLWrapper import QueryResult, SPARQLWrapper
+from rdfproxy.utils.sparql.sparql_templates import ungrouped_pagination_base_query
+from rdfproxy.utils.utils import get_bindings_from_query_result
+
+
+def remove_query_prefixes(query: str) -> str:
+    """Remove prefix definitions from a SPARQL query.
+
+    Prefix definitions need removing e.g. in injected subqueries.
+    """
+    return re.sub(
+        pattern=r"^prefix.*", repl="", string=query, flags=re.I | re.MULTILINE
+    )
+
+
+def inject_subquery(query: str, subquery: str) -> str:
+    """Inject a subquery into query."""
+
+    def _indent_query(query: str, indent: int = 2) -> str:
+        """Indent a query by n spaces according to indent parameter."""
+        indented_query = "".join(
+            [f"{' ' * indent}{line}\n" for line in query.splitlines()]
+        )
+        return indented_query
+
+    point: int = query.rfind("}")
+    partial_query: str = query[:point]
+
+    _subquery = remove_query_prefixes(subquery)
+    indented_subquery: str = _indent_query(_subquery)
+
+    new_query: str = f"{partial_query}  " f"{{{indented_subquery}}}\n}}"
+    return new_query
+
+
+def replace_query_select_clause(query: str, repl: str) -> str:
+    """Replace the SELECT clause of a query with repl."""
+    if re.search(r"select\s.+", query, re.I) is None:
+        raise Exception("Unable to obtain SELECT clause.")
+
+    count_query = re.sub(
+        pattern=r"select\s.+",
+        repl=repl,
+        string=query,
+        count=1,
+        flags=re.I,
+    )
+
+    return count_query
+
+
+def construct_count_query(query: str) -> str:
+    """Construct a generic count query from a SELECT query."""
+    count_query = replace_query_select_clause(query, "select (count(*) as ?cnt)")
+    return count_query
+
+
+def calculate_offset(page: int, size: int) -> int:
+    """Calculate offset value for paginated SPARQL templates."""
+    match page:
+        case 1:
+            return 0
+        case 2:
+            return size
+        case _:
+            return size * (page - 1)
+
+
+def construct_grouped_pagination_query(
+    query: str, page: int, size: int, group_by: str
+) -> str:
+    """Dynamically construct a query for grouped pagination.
+
+    Based on the initial query, construct a query with limit/offset according to page/size
+    and with a SELECT clause that distinctly selects the group_by variable;
+    then inject that query into the initial query as a subquery.
+    """
+    _paginated_query = ungrouped_pagination_base_query.substitute(
+        query=query, offset=calculate_offset(page, size), limit=size
+    )
+    subquery = replace_query_select_clause(
+        _paginated_query, f"select distinct ?{group_by}"
+    )
+
+    grouped_pagination_query = inject_subquery(query=query, subquery=subquery)
+    return grouped_pagination_query
+
+
+def construct_grouped_count_query(query: str, group_by) -> str:
+    grouped_count_query = replace_query_select_clause(
+        query, f"select (count(distinct ?{group_by}) as ?cnt)"
+    )
+
+    return grouped_count_query
+
+
+@contextmanager
+def temporary_query_override(sparql_wrapper: SPARQLWrapper):
+    """Context manager that allows to contextually overwrite a query in a SPARQLWrapper object."""
+    _query_cache = sparql_wrapper.queryString
+
+    try:
+        yield sparql_wrapper
+    finally:
+        sparql_wrapper.setQuery(_query_cache)
+
+
+def query_with_wrapper(query: str, sparql_wrapper: SPARQLWrapper) -> Iterator[dict]:
+    """Execute a SPARQL query using a predefined sparql_wrapper object.
+
+    The query attribute of the wrapper object is temporarily overridden
+    and gets restored after query execution.
+    """
+    with temporary_query_override(sparql_wrapper=sparql_wrapper):
+        sparql_wrapper.setQuery(query)
+        result: QueryResult = sparql_wrapper.query()
+
+    bindings: Iterator[dict] = get_bindings_from_query_result(result)
+    return bindings
diff --git a/rdfproxy/utils/utils.py b/rdfproxy/utils/utils.py
index 9c8506c..979efaa 100644
--- a/rdfproxy/utils/utils.py
+++ b/rdfproxy/utils/utils.py
@@ -1,12 +1,12 @@
 """SPARQL/FastAPI utils."""
 
-from collections.abc import Iterator, Mapping
-from typing import cast
+from collections.abc import Iterator
+from typing import Any
 
 from SPARQLWrapper import QueryResult
 from pydantic import BaseModel
-from rdfproxy.utils._types import _TModelInstance
-from toolz import valmap
+from pydantic.fields import FieldInfo
+from rdfproxy.utils._types import SPARQLBinding, _TModelInstance
 
 
 def get_bindings_from_query_result(query_result: QueryResult) -> Iterator[dict]:
@@ -17,9 +17,9 @@ def get_bindings_from_query_result(query_result: QueryResult) -> Iterator[dict]:
             f"Received object with requestedFormat '{result_format}'."
         )
 
-    query_json = cast(Mapping, query_result.convert())
+    query_json: dict = query_result.convert()
     bindings = map(
-        lambda binding: valmap(lambda v: v["value"], binding),
+        lambda binding: {k: v["value"] for k, v in binding.items()},
         query_json["results"]["bindings"],
     )
 
@@ -31,6 +31,9 @@ def instantiate_model_from_kwargs(
 ) -> _TModelInstance:
     """Instantiate a (potentially nested) model from (flat) kwargs.
 
+    More a more generic version of this function see upto.init_model_from_kwargs
+    https://github.com/lu-pl/upto?tab=readme-ov-file#init_model_from_kwargs.
+
     Example:
 
         class SimpleModel(BaseModel):
@@ -52,22 +55,36 @@ class ComplexModel(BaseModel):
     print(model)  # p='p value' q=NestedModel(a='a value', b=SimpleModel(x=1, y=2))
     """
 
-    def _get_bindings(model: type[_TModelInstance], **kwargs) -> dict:
+    def _get_key_from_metadata(v: FieldInfo):
+        """Try to get a SPARQLBinding object from a field's metadata attribute.
+
+        Helper for _generate_binding_pairs.
+        """
+        try:
+            value = next(filter(lambda x: isinstance(x, SPARQLBinding), v.metadata))
+            return value
+        except StopIteration:
+            return None
+
+    def _generate_binding_pairs(
+        model: type[_TModelInstance], **kwargs
+    ) -> Iterator[tuple[str, Any]]:
         """Get the bindings needed for model instantation.
 
         The function traverses model.model_fields
-        and constructs a bindings dict by either getting values from kwargs or field defaults.
+        and constructs binding pairs by either getting values from kwargs or field defaults.
         For model fields the recursive clause runs.
-
-        Note: This needs exception handling and proper testing.
         """
-        return {
-            k: (
-                v.annotation(**_get_bindings(v.annotation, **kwargs))
-                if isinstance(v.annotation, type(BaseModel))
-                else kwargs.get(k, v.default)
-            )
-            for k, v in model.model_fields.items()
-        }
-
-    return model(**_get_bindings(model, **kwargs))
+        for k, v in model.model_fields.items():
+            if isinstance(v.annotation, type(BaseModel)):
+                value = v.annotation(
+                    **dict(_generate_binding_pairs(v.annotation, **kwargs))
+                )
+            else:
+                binding_key = _get_key_from_metadata(v) or k
+                value = kwargs.get(binding_key, v.default)
+
+            yield k, value
+
+    bindings = dict(_generate_binding_pairs(model, **kwargs))
+    return model(**bindings)