diff --git a/concept_linking/data/files/EvaluationData/evaluationSet_EN_small.json b/concept_linking/data/files/EvaluationData/evaluationSet_EN_small.json
index 45437d7..f04fa69 100644
--- a/concept_linking/data/files/EvaluationData/evaluationSet_EN_small.json
+++ b/concept_linking/data/files/EvaluationData/evaluationSet_EN_small.json
@@ -19,17 +19,17 @@
                 ]
             },
             {
-                "sentence": "Michelle Obama is an person.",
+                "sentence": "Michelle Obama is a person.",
                 "sentenceStartIndex": 0,
-                "sentenceEndIndex": 24,
+                "sentenceEndIndex": 26,
                 "entityMentions": [
                     {
-                        "name": "Barack Obama",
+                        "name": "Michelle Obama",
                         "type": "Entity",
                         "label": "PERSON",
                         "startIndex": 0,
-                        "endIndex": 11,
-                        "iri": "knox-kb01.srv.aau.dk/Barack_Obama"
+                        "endIndex": 13,
+                        "iri": "knox-kb01.srv.aau.dk/Michelle_Obama"
                     }
                 ]
             }
diff --git a/concept_linking/main.py b/concept_linking/main.py
index 3e4a310..e9c7253 100644
--- a/concept_linking/main.py
+++ b/concept_linking/main.py
@@ -14,10 +14,10 @@ def entity_type_classification(input_data):
     #stringComparisonSolution(input_data)
 
     # Untrained Spacy
-    #untrainedSpacySolution(input_data)
+    untrainedSpacySolution(input_data)
 
     # PromptEngineering
-    perform_entity_type_classification(input_data)
+    #perform_entity_type_classification(input_data)
 
     # Machine Learning
     #predict(input_data)
diff --git a/concept_linking/solutions/PromptEngineering/main.py b/concept_linking/solutions/PromptEngineering/main.py
index 074a227..51ae026 100644
--- a/concept_linking/solutions/PromptEngineering/main.py
+++ b/concept_linking/solutions/PromptEngineering/main.py
@@ -14,6 +14,8 @@
 # Local API url docker
 # api_url = "http://llama-cpu-server:5000/llama"
 
+
+
 # Remote API url
 # api_url = "http://knox-proxy01.srv.aau.dk/llama-api/llama"
 
diff --git a/concept_linking/solutions/StringComparison/utils.py b/concept_linking/solutions/StringComparison/utils.py
index dd04793..262328e 100644
--- a/concept_linking/solutions/StringComparison/utils.py
+++ b/concept_linking/solutions/StringComparison/utils.py
@@ -14,8 +14,6 @@ def translateWordToEn(word, language):
 
 
 from difflib import SequenceMatcher
-
-
 # returnerer en konstant mellem 0 og 1. 0 er et elendigt match, 1 er et eksakt match.
 def similar(a, b):
     return SequenceMatcher(None, a.lower(), b.lower()).ratio()
diff --git a/relation_extraction/relation_extractor.py b/relation_extraction/relation_extractor.py
index b9de9b8..5fb3d4f 100644
--- a/relation_extraction/relation_extractor.py
+++ b/relation_extraction/relation_extractor.py
@@ -1,8 +1,9 @@
 # from relation_extraction.NaiveMVP.main import handle_relation_post_request
+from relation_extraction.NaiveMVP.main import handle_relation_post_request
 from relation_extraction.multilingual.main import begin_relation_extraction
 
 class RelationExtractor():
     @classmethod
     def begin_extraction(self, data):
-        # handle_relation_post_request(data) # Naive solution
+        handle_relation_post_request(data) # Naive solution
         begin_relation_extraction(data) # Multilingual solution
diff --git a/test/test_server/test_server.py b/test/test_server/test_server.py
index f4e8340..f94607d 100644
--- a/test/test_server/test_server.py
+++ b/test/test_server/test_server.py
@@ -10,8 +10,8 @@ def setUp(self):
     # Valid: authorized and correct format
     @patch('os.getenv', return_value="some_api_secret")
     # @patch('concept_linking.main.stringComparisonSolution', return_value=Mock())
-    # @patch('concept_linking.main.untrainedSpacySolution', return_value=Mock())
-    @patch('concept_linking.main.perform_entity_type_classification', return_value=Mock())
+    @patch('concept_linking.main.untrainedSpacySolution', return_value=Mock())
+    # @patch('concept_linking.main.perform_entity_type_classification', return_value=Mock())
     # @patch('concept_linking.main.predict', return_value=Mock())
     @patch('relation_extraction.relation_extractor.RelationExtractor.begin_extraction', return_value=Mock())