diff --git a/src/stratigraphy/util/interval.py b/src/stratigraphy/util/interval.py
index e137aeda..b141e440 100644
--- a/src/stratigraphy/util/interval.py
+++ b/src/stratigraphy/util/interval.py
@@ -59,10 +59,6 @@ class AnnotatedInterval:
     end: float
     background_rect: fitz.Rect
 
-    @property
-    def line_anchor(self) -> fitz.Point:
-        return fitz.Point(0, 0)
-
 
 class BoundaryInterval(Interval):
     """Class for boundary intervals.
diff --git a/src/stratigraphy/util/predictions.py b/src/stratigraphy/util/predictions.py
index 84f326c5..33385a5b 100644
--- a/src/stratigraphy/util/predictions.py
+++ b/src/stratigraphy/util/predictions.py
@@ -111,9 +111,15 @@ def create_from_json(predictions_for_file: dict, file_name: str):
     def create_from_label_studio(annotation_results: dict):
         """Create predictions class for a file given the annotation results from Label Studio.
 
+        This method is meant to import annotations from label studio. The primary use case is to
+        use the annotated data for evaluation. For that purpose, there is the convert_to_ground_truth
+        method, which then converts the predictions to ground truth format.
+
         NOTE: We may want to adjust this method to return a single instance of the class,
         instead of a list of class objects.
 
+        NOTE: Before using this to create new ground truth, this method should be tested.
+
         Args:
             annotation_results (dict): The annotation results from Label Studio.
                                        The annotation_results can cover multiple files.
@@ -212,6 +218,11 @@ def create_from_label_studio(annotation_results: dict):
     def convert_to_ground_truth(self):
         """Convert the predictions to ground truth format.
 
+        This method is meant to be used in combination with the create_from_label_studio method.
+        It converts the predictions to ground truth format, which can then be used for evaluation.
+
+        NOTE: This method should be tested before using it to create new ground truth.
+
         Returns:
             dict: The predictions in ground truth format.
         """