diff --git a/France/Paris/Paris data collection.ipynb b/France/Paris/Paris data collection.ipynb
index a17728b..dd7c4b2 100644
--- a/France/Paris/Paris data collection.ipynb	
+++ b/France/Paris/Paris data collection.ipynb	
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -17,7 +17,7 @@
      "output_type": "stream",
      "text": [
       "importing Jupyter notebook from pandas2quickstatements.ipynb\n",
-      "191124_192347\n",
+      "191124_193203\n",
       "Python v 3.6.5\n"
      ]
     }
@@ -31,7 +31,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 5,
    "metadata": {
     "scrolled": false
    },
@@ -186,7 +186,7 @@
        "4             False                   False    no match  "
       ]
      },
-     "execution_count": 2,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -213,7 +213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -234,12 +234,13 @@
       "nearest_has_water_type                          False\n",
       "match_found                                   unclear\n",
       "Name: 1094, dtype: object\n",
-      "wrote 'quickstatement_commands_Paris_drink_191124_192508.txt' with 5582 lines\n"
+      "wrote 'quickstatement_commands_Paris_drink_191124_193259.txt' with 4161 lines\n"
      ]
     }
    ],
    "source": [
-    "write_query(paris_fountain_data, location)"
+    "statedId = \"\\tS248\\tQ76424180\"\n",
+    "write_query(paris_fountain_data, location, statedId)"
    ]
   },
   {
diff --git a/France/Paris/pandas2quickstatements.ipynb b/France/Paris/pandas2quickstatements.ipynb
index e301073..ff5a82c 100644
--- a/France/Paris/pandas2quickstatements.ipynb
+++ b/France/Paris/pandas2quickstatements.ipynb
@@ -16,14 +16,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "191124_130125\n",
+      "191124_192953\n",
       "Python v 3.6.5\n"
      ]
     }
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -83,7 +83,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -111,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -252,7 +252,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -279,7 +279,7 @@
     "        return '\"Brunnen ({})\"'.format(text)\n",
     "    \n",
     "\n",
-    "def createline(lines, item, prop, value, qualifiers=[]):\n",
+    "def createline(lines, item, prop, value, ref, qualifiers=[]):\n",
     "    # general function to create Quickstatement v1 commands\n",
     "    if value != '' and value != '\"\"':\n",
     "        statement = '{}\\t{}\\t{}'.format(item, prop, value)\n",
@@ -287,6 +287,7 @@
     "            # append qualifiers if applicable\n",
     "            for q in qualifiers:\n",
     "                statement += '\\t{}\\t{}'.format(q['prop'], q['value'])\n",
+    "        statement += ref\n",
     "        statement += '\\n'\n",
     "        lines.append(statement)\n",
     "    return lines "
@@ -294,11 +295,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
-    "def write_query(df, location):\n",
+    "def write_query(df, location, ref):\n",
     "    lines = []\n",
     "\n",
     "    for index, row in df.iterrows():\n",
@@ -320,12 +321,10 @@
     "        # Add this basic information only if creating a new entity\n",
     "        if item == 'LAST':\n",
     "            # instance of drinking fountain\n",
-    "            lines = createline(lines, item, 'P31', 'Q1630622')\n",
+    "            lines = createline(lines, item, 'P31', 'Q1630622', ref)\n",
     "\n",
     "            # coordinates\n",
-    "            lines = createline(lines, item, 'P625', process_coordinates(row['X'], row['Y']))\n",
-    "\n",
-    "            # TODO put reference \"https://opendata.swiss/dataset/bade-trinkwasser-und-zierbrunnen-in-basel\"\n",
+    "            lines = createline(lines, item, 'P625', process_coordinates(row['X'], row['Y']),ref)\n",
     "\n",
     "\n",
     "        # For other properties, add information if the entity is new or if property does not yet exist\n",
@@ -338,8 +337,8 @@
     "        #if item == 'LAST' or not row['nearest_has_date']:\n",
     "        #    lines = createline(lines, item, 'P571', process_year(row['date']))\n",
     "\n",
-    "        # operated by IWB  \n",
-    "        lines = createline(lines, item, 'P137', 'Q72936279')\n",
+    "        # operated by t.b.d. operator per location  \n",
+    "        # lines = createline(lines, item, 'P137', 'Q72936279')\n",
     "\n",
     "        # catalog number can always be added (it is hard to check for)\n",
     "        #lines = createline(lines, item, 'P528', '\"{}\"'.format(row['operator_id']), [{\n",