diff --git a/trustgraph-base/trustgraph/objects/field.py b/trustgraph-base/trustgraph/objects/field.py
index e4d84991..84db32aa 100644
--- a/trustgraph-base/trustgraph/objects/field.py
+++ b/trustgraph-base/trustgraph/objects/field.py
@@ -29,8 +29,8 @@ class Field:
 
         parts = defn.split(":")
 
-        if len(parts) == 0:
-            raise RuntimeError("Field definition cannot be empty")
+        if len(parts) > 5:
+            raise RuntimeError("Too many fields in definition")
 
         if len(parts) == 1: parts.append("string")
         if len(parts) == 2: parts.append("0")
@@ -43,7 +43,7 @@ class Field:
 
         try:
             type = FieldType[type.upper()]
-        except:
+        except KeyError:
             raise RuntimeError(f"Field type {type} is not known")
 
         pri = True if pri == "pri" else False
diff --git a/trustgraph-flow/trustgraph/extract/kg/ontology/text_processor.py b/trustgraph-flow/trustgraph/extract/kg/ontology/text_processor.py
index 685699d1..4e0d79a5 100644
--- a/trustgraph-flow/trustgraph/extract/kg/ontology/text_processor.py
+++ b/trustgraph-flow/trustgraph/extract/kg/ontology/text_processor.py
@@ -18,24 +18,26 @@ try:
 except LookupError:
     try:
         nltk.download('punkt_tab', quiet=True)
-    except:
+    except Exception as e:
+        logger.warning(f"Failed to download punkt_tab: {e}. Attempting fallback to punkt.")
         # Fallback to older punkt if punkt_tab not available
         try:
             nltk.download('punkt', quiet=True)
-        except:
-            pass
+        except Exception as e:
+            logger.error(f"Failed to download fallback punkt: {e}. NLTK data is missing.")
 
 try:
     nltk.data.find('taggers/averaged_perceptron_tagger_eng')
 except LookupError:
     try:
         nltk.download('averaged_perceptron_tagger_eng', quiet=True)
-    except:
+    except Exception as e:
+        logger.warning(f"Failed to download averaged_perceptron_tagger_eng: {e}. Attempting fallback.")
         # Fallback to older name
         try:
             nltk.download('averaged_perceptron_tagger', quiet=True)
-        except:
-            pass
+        except Exception as e:
+            logger.error(f"Failed to download fallback averaged_perceptron_tagger: {e}. NLTK data is missing.")
 
 try:
     nltk.data.find('corpora/stopwords')