diff --git a/project/backend/coordinator/controller/spacy_controller.py b/project/backend/coordinator/controller/spacy_controller.py
index edcf653..97b64aa 100644
--- a/project/backend/coordinator/controller/spacy_controller.py
+++ b/project/backend/coordinator/controller/spacy_controller.py
@@ -5,21 +5,17 @@ import puremagic
 from werkzeug.utils import secure_filename
 from model.database import db
 import os
-import json
 import requests
 
 spacy_controller = Blueprint("spacy", __name__, url_prefix="/api/spacy")
 
 SPACY_TRAINING_URL = os.getenv("SPACY_TRAINING_URL", "http://spacy:5052/train")
-training_running_flag_path = os.path.join("spacy_training", "training_running.json")
+SPACY_URL = os.getenv("SPACY_URL", "http://spacy:5052")
 
 
 @spacy_controller.route("/train", methods=["POST"])
 def trigger_training():
     try:
-        with open(training_running_flag_path, "w") as f:
-            json.dump({"running": True}, f)
-
         response = requests.post(SPACY_TRAINING_URL, timeout=600)
         if response.ok:
             return jsonify({"message": "Training erfolgreich angestoßen."}), 200
@@ -109,48 +105,29 @@ def delete_file(id):
 
 
 @spacy_controller.route("/append-training-entry", methods=["POST"])
-def append_training_entry():
+def forward_training_entry():
     entry = request.get_json()
-
-    if not entry or "text" not in entry or "entities" not in entry:
-        return (
-            jsonify(
-                {"error": "Ungültiges Format – 'text' und 'entities' erforderlich."}
-            ),
-            400,
-        )
-
-    path = os.path.join("spacy_training", "annotation_data.json")
-
     try:
-        os.makedirs(os.path.dirname(path), exist_ok=True)
-        if os.path.exists(path):
-            with open(path, "r", encoding="utf-8") as f:
-                data = json.load(f)
-        else:
-            data = []
-
-        if entry in data:
-            return jsonify({"message": "Eintrag existiert bereits."}), 200
-
-        data.append(entry)
-        with open(path, "w", encoding="utf-8") as f:
-            json.dump(data, f, indent=2, ensure_ascii=False)
-
-        return jsonify({"message": "Eintrag erfolgreich gespeichert."}), 200
+        response = requests.post(f"{SPACY_URL}/append-training-entry", json=entry)
+        return jsonify(response.json()), response.status_code
     except Exception as e:
-        print(f"[ERROR] Fehler beim Schreiben: {e}")
-        return jsonify({"error": "Interner Fehler beim Schreiben."}), 500
+        return jsonify({"error": str(e)}), 500
+
+
+# globale Variable oben einfügen
+current_training_status = {"running": False}
+
+
+@spacy_controller.route("/training/status", methods=["POST"])
+def update_training_status():
+    data = request.get_json()
+    current_training_status["running"] = data.get("running", False)
+    running = current_training_status["running"]
+    print(f"[INFO] Trainingsstatus aktualisiert: running = {running}")
+
+    return jsonify({"status": "success", "running": current_training_status["running"]})
 
 
 @spacy_controller.route("/train-status", methods=["GET"])
 def training_status():
-    try:
-        if os.path.exists(training_running_flag_path):
-            with open(training_running_flag_path, "r") as f:
-                status = json.load(f)
-            return jsonify(status), 200
-        else:
-            return jsonify({"running": False}), 200
-    except Exception as e:
-        return jsonify({"error": "Fehler beim Statuscheck", "details": str(e)}), 500
+    return jsonify(current_training_status), 200
diff --git a/project/backend/exxetaGPT-service/Dockerfile b/project/backend/exxetaGPT-service/Dockerfile
deleted file mode 100644
index c2b6203..0000000
--- a/project/backend/exxetaGPT-service/Dockerfile
+++ /dev/null
@@ -1,8 +0,0 @@
-FROM python:3.11-slim
-
-WORKDIR /app
-COPY . /app
-RUN pip install --no-cache-dir -r requirements.txt
-ENV PYTHONUNBUFFERED=1
-
-CMD ["python", "extractExxeta.py"]
diff --git a/project/backend/spacy-service/app.py b/project/backend/spacy-service/app.py
index 67da9ef..706f7fc 100644
--- a/project/backend/spacy-service/app.py
+++ b/project/backend/spacy-service/app.py
@@ -14,7 +14,7 @@ training_status = {"running": False}
 app = Flask(__name__)
 CORS(app)
 
-
+COORDINATOR_URL = os.getenv("COORDINATOR_URL", "http://coordinator:5000")
 VALIDATE_SERVICE_URL = os.getenv(
     "VALIDATE_SERVICE_URL", "http://localhost:5054/validate"
 )
@@ -88,31 +88,11 @@ def append_training_entry():
 @app.route("/train", methods=["POST"])
 def trigger_training():
     from threading import Thread
-    import subprocess
-    import shutil
-
-    def run_training():
-        training_status["running"] = True
-        try:
-            if os.path.exists("output/model-last"):
-                shutil.copytree(
-                    "output/model-last", "output/model-backup", dirs_exist_ok=True
-                )
-            subprocess.run(["python", "spacy_training/ner_trainer.py"], check=True)
-            load_model()
-        except Exception as e:
-            print("Training failed:", e)
-        training_status["running"] = False
 
     Thread(target=run_training).start()
     return jsonify({"message": "Training gestartet"}), 200
 
 
-@app.route("/train-status", methods=["GET"])
-def get_training_status():
-    return jsonify(training_status), 200
-
-
 @app.route("/reload-model", methods=["POST"])
 def reload_model():
     try:
@@ -127,16 +107,32 @@ def reload_model():
 
 def run_training():
     training_status["running"] = True
+    notify_coordinator(True)
+
     try:
         if os.path.exists("output/model-last"):
             shutil.copytree(
                 "output/model-last", "output/model-backup", dirs_exist_ok=True
             )
         subprocess.run(["python", "spacy_training/ner_trainer.py"], check=True)
-        load_model()  # ⬅ Modell nach dem Training direkt neu laden
+        load_model()
     except Exception as e:
         print("Training failed:", e)
     training_status["running"] = False
+    notify_coordinator(False)
+
+
+def notify_coordinator(running: bool):
+    try:
+        response = requests.post(
+            f"{COORDINATOR_URL}/api/spacy/training/status", json={"running": running}
+        )
+        print(
+            f"[SPACY] Coordinator: running = {running}, Status = {response.status_code}"
+        )
+
+    except Exception as e:
+        print(f"[SPACY] Fehler beim Senden des Trainingsstatus: {e}")
 
 
 if __name__ == "__main__":
diff --git a/project/backend/spacy-service/spacy_training/annotation_data.json b/project/backend/spacy-service/spacy_training/annotation_data.json
index b76f4fe..1aab418 100644
--- a/project/backend/spacy-service/spacy_training/annotation_data.json
+++ b/project/backend/spacy-service/spacy_training/annotation_data.json
@@ -1638,185 +1638,5 @@
         "RENDITE"
       ]
     ]
-  },
-  {
-    "text": "Die Gesamtrendite beträgt 7,2 %.",
-    "entities": [
-      [
-        1,
-        5,
-        "NEUEKENNZAHL"
-      ]
-    ]
-  },
-  {
-    "text": "fhfhfh56",
-    "entities": [
-      [
-        6,
-        8,
-        "TEST545"
-      ]
-    ]
-  },
-  {
-    "text": "fhfhfh56",
-    "entities": [
-      [
-        6,
-        8,
-        "TEST345"
-      ]
-    ]
-  },
-  {
-    "text": "sdgds45",
-    "entities": [
-      [
-        6,
-        7,
-        "TEST243"
-      ]
-    ]
-  },
-  {
-    "text": "4t4r3",
-    "entities": [
-      [
-        4,
-        5,
-        "TEST243"
-      ]
-    ]
-  },
-  {
-    "text": "sdgds45",
-    "entities": [
-      [
-        6,
-        7,
-        "DGTDDTFHZ"
-      ]
-    ]
-  },
-  {
-    "text": "gjufzj45",
-    "entities": [
-      [
-        7,
-        8,
-        "DGTDDTFHZ"
-      ]
-    ]
-  },
-  {
-    "text": "irr beträgt 43",
-    "entities": [
-      [
-        12,
-        14,
-        "TEST3243"
-      ]
-    ]
-  },
-  {
-    "text": "irr beträgt 43",
-    "entities": [
-      [
-        12,
-        14,
-        "IRR"
-      ]
-    ]
-  },
-  {
-    "text": "Rendite besträgt 5 %",
-    "entities": [
-      [
-        17,
-        20,
-        "RENDITE"
-      ]
-    ]
-  },
-  {
-    "text": "RenditeX besträgt 5 %",
-    "entities": [
-      [
-        18,
-        21,
-        "RENDITE_X"
-      ]
-    ]
-  },
-  {
-    "text": "gtg3ahz8",
-    "entities": [
-      [
-        7,
-        8,
-        "ERTRETT"
-      ]
-    ]
-  },
-  {
-    "text": "wffwee 45",
-    "entities": [
-      [
-        7,
-        9,
-        "TEST45"
-      ]
-    ]
-  },
-  {
-    "text": "efwwef 45",
-    "entities": [
-      [
-        7,
-        9,
-        "TEST12"
-      ]
-    ]
-  },
-  {
-    "text": "wfwefwe34",
-    "entities": [
-      [
-        7,
-        9,
-        "TEST232"
-      ]
-    ]
-  },
-  {
-    "text": "fwefbmj34",
-    "entities": [
-      [
-        7,
-        9,
-        "TEST223"
-      ]
-    ]
-  },
-  {
-    "text": "asdas45",
-    "entities": [
-      [
-        5,
-        7,
-        "TEST122"
-      ]
-    ]
-  },
-  {
-    "text": "ewefw4",
-    "entities": [
-      [
-        5,
-        6,
-        "TEST3434"
-      ]
-    ]
   }
 ]
\ No newline at end of file
diff --git a/project/backend/spacy-service/spacy_training/base_config.cfg b/project/backend/spacy-service/spacy_training/base_config.cfg
deleted file mode 100644
index f7ffac0..0000000
--- a/project/backend/spacy-service/spacy_training/base_config.cfg
+++ /dev/null
@@ -1,85 +0,0 @@
-# This is an auto-generated partial config. To use it with 'spacy train'
-# you can run spacy init fill-config to auto-fill all default settings:
-# python -m spacy init fill-config ./base_config.cfg ./config.cfg
-[paths]
-train = ./data/train.spacy
-dev = ./data/train.spacy
-vectors = null
-[system]
-gpu_allocator = null
-
-[nlp]
-lang = "de"
-pipeline = ["tok2vec","ner"]
-batch_size = 1000
-
-[components]
-
-[components.tok2vec]
-factory = "tok2vec"
-
-[components.tok2vec.model]
-@architectures = "spacy.Tok2Vec.v2"
-
-[components.tok2vec.model.embed]
-@architectures = "spacy.MultiHashEmbed.v2"
-width = ${components.tok2vec.model.encode.width}
-attrs = ["NORM", "PREFIX", "SUFFIX", "SHAPE"]
-rows = [5000, 1000, 2500, 2500]
-include_static_vectors = false
-
-[components.tok2vec.model.encode]
-@architectures = "spacy.MaxoutWindowEncoder.v2"
-width = 96
-depth = 4
-window_size = 1
-maxout_pieces = 3
-
-[components.ner]
-factory = "ner"
-
-[components.ner.model]
-@architectures = "spacy.TransitionBasedParser.v2"
-state_type = "ner"
-extra_state_tokens = false
-hidden_width = 64
-maxout_pieces = 2
-use_upper = true
-nO = null
-
-[components.ner.model.tok2vec]
-@architectures = "spacy.Tok2VecListener.v1"
-width = ${components.tok2vec.model.encode.width}
-
-[corpora]
-
-[corpora.train]
-@readers = "spacy.Corpus.v1"
-path = ${paths.train}
-max_length = 0
-
-[corpora.dev]
-@readers = "spacy.Corpus.v1"
-path = ${paths.dev}
-max_length = 0
-
-[training]
-dev_corpus = "corpora.dev"
-train_corpus = "corpora.train"
-
-[training.optimizer]
-@optimizers = "Adam.v1"
-
-[training.batcher]
-@batchers = "spacy.batch_by_words.v1"
-discard_oversize = false
-tolerance = 0.2
-
-[training.batcher.size]
-@schedules = "compounding.v1"
-start = 100
-stop = 1000
-compound = 1.001
-
-[initialize]
-vectors = ${paths.vectors}
\ No newline at end of file
diff --git a/project/backend/spacy-service/spacy_training/config.cfg b/project/backend/spacy-service/spacy_training/config.cfg
deleted file mode 100644
index 1cf80c4..0000000
--- a/project/backend/spacy-service/spacy_training/config.cfg
+++ /dev/null
@@ -1,145 +0,0 @@
-[paths]
-train = "./data/train.spacy"
-dev = "./data/train.spacy"
-vectors = null
-init_tok2vec = null
-
-[system]
-gpu_allocator = null
-seed = 0
-
-[nlp]
-lang = "de"
-pipeline = ["tok2vec","ner"]
-batch_size = 1000
-disabled = []
-before_creation = null
-after_creation = null
-after_pipeline_creation = null
-tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
-vectors = {"@vectors":"spacy.Vectors.v1"}
-
-[components]
-
-[components.ner]
-factory = "ner"
-incorrect_spans_key = null
-moves = null
-scorer = {"@scorers":"spacy.ner_scorer.v1"}
-update_with_oracle_cut_size = 100
-
-[components.ner.model]
-@architectures = "spacy.TransitionBasedParser.v2"
-state_type = "ner"
-extra_state_tokens = false
-hidden_width = 64
-maxout_pieces = 2
-use_upper = true
-nO = null
-
-[components.ner.model.tok2vec]
-@architectures = "spacy.Tok2VecListener.v1"
-width = ${components.tok2vec.model.encode.width}
-upstream = "*"
-
-[components.tok2vec]
-factory = "tok2vec"
-
-[components.tok2vec.model]
-@architectures = "spacy.Tok2Vec.v2"
-
-[components.tok2vec.model.embed]
-@architectures = "spacy.MultiHashEmbed.v2"
-width = ${components.tok2vec.model.encode.width}
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
-rows = [5000,1000,2500,2500]
-include_static_vectors = false
-
-[components.tok2vec.model.encode]
-@architectures = "spacy.MaxoutWindowEncoder.v2"
-width = 96
-depth = 4
-window_size = 1
-maxout_pieces = 3
-
-[corpora]
-
-[corpora.dev]
-@readers = "spacy.Corpus.v1"
-path = ${paths.dev}
-max_length = 0
-gold_preproc = false
-limit = 0
-augmenter = null
-
-[corpora.train]
-@readers = "spacy.Corpus.v1"
-path = ${paths.train}
-max_length = 0
-gold_preproc = false
-limit = 0
-augmenter = null
-
-[training]
-dev_corpus = "corpora.dev"
-train_corpus = "corpora.train"
-seed = ${system.seed}
-gpu_allocator = ${system.gpu_allocator}
-dropout = 0.1
-accumulate_gradient = 1
-patience = 1600
-max_epochs = 0
-max_steps = 20000
-eval_frequency = 200
-frozen_components = []
-annotating_components = []
-before_to_disk = null
-before_update = null
-
-[training.batcher]
-@batchers = "spacy.batch_by_words.v1"
-discard_oversize = false
-tolerance = 0.2
-get_length = null
-
-[training.batcher.size]
-@schedules = "compounding.v1"
-start = 100
-stop = 1000
-compound = 1.001
-t = 0.0
-
-[training.logger]
-@loggers = "spacy.ConsoleLogger.v1"
-progress_bar = false
-
-[training.optimizer]
-@optimizers = "Adam.v1"
-beta1 = 0.9
-beta2 = 0.999
-L2_is_weight_decay = true
-L2 = 0.01
-grad_clip = 1.0
-use_averages = false
-eps = 0.00000001
-learn_rate = 0.001
-
-[training.score_weights]
-ents_f = 1.0
-ents_p = 0.0
-ents_r = 0.0
-ents_per_type = null
-
-[pretraining]
-
-[initialize]
-vectors = ${paths.vectors}
-init_tok2vec = ${paths.init_tok2vec}
-vocab_data = null
-lookups = null
-before_init = null
-after_init = null
-
-[initialize.components]
-
-[initialize.tokenizer]
\ No newline at end of file
diff --git a/project/backend/spacy-service/spacy_training/data_to_json.py b/project/backend/spacy-service/spacy_training/data_to_json.py
deleted file mode 100644
index e2d84d4..0000000
--- a/project/backend/spacy-service/spacy_training/data_to_json.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import os
-import json
-from training_data import TRAINING_DATA
-
-# Setze hier den Pfad zu annotation_data.json
-OUTFILE = os.path.join(os.path.dirname(__file__), "annotation_data.json")
-
-json_list = []
-for text, annot in TRAINING_DATA:
-    entities = []
-    for start, end, label in annot["entities"]:
-        entities.append([start, end, label])
-    json_list.append({"text": text, "entities": entities})
-
-with open(OUTFILE, "w", encoding="utf8") as f:
-    json.dump(json_list, f, ensure_ascii=False, indent=2)
-
-print("Alle Trainingsdaten wurden erfolgreich nach annotation_data.json migriert!")
diff --git a/project/backend/spacy-service/spacy_training/output/model-last/meta.json b/project/backend/spacy-service/spacy_training/output/model-last/meta.json
index a92a61a..8a188d0 100644
--- a/project/backend/spacy-service/spacy_training/output/model-last/meta.json
+++ b/project/backend/spacy-service/spacy_training/output/model-last/meta.json
@@ -19,16 +19,13 @@
   "labels":{
     "ner":[
       "AUSSCH\u00dcTTUNGSRENDITE",
-      "IRR",
       "KENNZAHL",
       "LAUFZEIT",
       "L\u00c4NDERALLOKATION",
       "MANAGMENTGEB\u00dcHREN",
       "RENDITE",
-      "RENDITE_X",
       "RISIKOPROFIL",
       "SEKTORENALLOKATION",
-      "TEST3243",
       "ZIELAUSSCH\u00dcTTUNG",
       "ZIELRENDITE"
     ]
diff --git a/project/backend/spacy-service/spacy_training/output/model-last/ner/model b/project/backend/spacy-service/spacy_training/output/model-last/ner/model
index baba9fa..303ffe1 100644
Binary files a/project/backend/spacy-service/spacy_training/output/model-last/ner/model and b/project/backend/spacy-service/spacy_training/output/model-last/ner/model differ
diff --git a/project/backend/spacy-service/spacy_training/output/model-last/ner/moves b/project/backend/spacy-service/spacy_training/output/model-last/ner/moves
index 9f82843..48f4d53 100644
--- a/project/backend/spacy-service/spacy_training/output/model-last/ner/moves
+++ b/project/backend/spacy-service/spacy_training/output/model-last/ner/moves
@@ -1 +1 @@
-��moves�,{"0":{},"1":{"KENNZAHL":-1,"RISIKOPROFIL":-2,"AUSSCH\u00dcTTUNGSRENDITE":-3,"LAUFZEIT":-4,"RENDITE":-5,"L\u00c4NDERALLOKATION":-6,"ZIELRENDITE":-7,"ZIELAUSSCH\u00dcTTUNG":-8,"MANAGMENTGEB\u00dcHREN":-9,"SEKTORENALLOKATION":-10,"TEST3243":-11,"IRR":-12,"RENDITE_X":-13},"2":{"KENNZAHL":-1,"RISIKOPROFIL":-2,"AUSSCH\u00dcTTUNGSRENDITE":-3,"LAUFZEIT":-4,"RENDITE":-5,"L\u00c4NDERALLOKATION":-6,"ZIELRENDITE":-7,"ZIELAUSSCH\u00dcTTUNG":-8,"MANAGMENTGEB\u00dcHREN":-9,"SEKTORENALLOKATION":-10,"TEST3243":-11,"IRR":-12,"RENDITE_X":-13},"3":{"KENNZAHL":-1,"RISIKOPROFIL":-2,"AUSSCH\u00dcTTUNGSRENDITE":-3,"LAUFZEIT":-4,"RENDITE":-5,"L\u00c4NDERALLOKATION":-6,"ZIELRENDITE":-7,"ZIELAUSSCH\u00dcTTUNG":-8,"MANAGMENTGEB\u00dcHREN":-9,"SEKTORENALLOKATION":-10,"TEST3243":-11,"IRR":-12,"RENDITE_X":-13},"4":{"":1,"KENNZAHL":-1,"RISIKOPROFIL":-2,"AUSSCH\u00dcTTUNGSRENDITE":-3,"LAUFZEIT":-4,"RENDITE":-5,"L\u00c4NDERALLOKATION":-6,"ZIELRENDITE":-7,"ZIELAUSSCH\u00dcTTUNG":-8,"MANAGMENTGEB\u00dcHREN":-9,"SEKTORENALLOKATION":-10,"TEST3243":-11,"IRR":-12,"RENDITE_X":-13},"5":{"":1}}�cfg��neg_key�
\ No newline at end of file
+��moves��{"0":{},"1":{"KENNZAHL":-1,"RISIKOPROFIL":-2,"AUSSCH\u00dcTTUNGSRENDITE":-3,"LAUFZEIT":-4,"RENDITE":-5,"L\u00c4NDERALLOKATION":-6,"ZIELRENDITE":-7,"ZIELAUSSCH\u00dcTTUNG":-8,"MANAGMENTGEB\u00dcHREN":-9,"SEKTORENALLOKATION":-10},"2":{"KENNZAHL":-1,"RISIKOPROFIL":-2,"AUSSCH\u00dcTTUNGSRENDITE":-3,"LAUFZEIT":-4,"RENDITE":-5,"L\u00c4NDERALLOKATION":-6,"ZIELRENDITE":-7,"ZIELAUSSCH\u00dcTTUNG":-8,"MANAGMENTGEB\u00dcHREN":-9,"SEKTORENALLOKATION":-10},"3":{"KENNZAHL":-1,"RISIKOPROFIL":-2,"AUSSCH\u00dcTTUNGSRENDITE":-3,"LAUFZEIT":-4,"RENDITE":-5,"L\u00c4NDERALLOKATION":-6,"ZIELRENDITE":-7,"ZIELAUSSCH\u00dcTTUNG":-8,"MANAGMENTGEB\u00dcHREN":-9,"SEKTORENALLOKATION":-10},"4":{"":1,"KENNZAHL":-1,"RISIKOPROFIL":-2,"AUSSCH\u00dcTTUNGSRENDITE":-3,"LAUFZEIT":-4,"RENDITE":-5,"L\u00c4NDERALLOKATION":-6,"ZIELRENDITE":-7,"ZIELAUSSCH\u00dcTTUNG":-8,"MANAGMENTGEB\u00dcHREN":-9,"SEKTORENALLOKATION":-10},"5":{"":1}}�cfg��neg_key�
\ No newline at end of file
diff --git a/project/backend/spacy-service/spacy_training/output/model-last/vocab/strings.json b/project/backend/spacy-service/spacy_training/output/model-last/vocab/strings.json
index 0d8c921..e54596f 100644
--- a/project/backend/spacy-service/spacy_training/output/model-last/vocab/strings.json
+++ b/project/backend/spacy-service/spacy_training/output/model-last/vocab/strings.json
@@ -273,11 +273,8 @@
   "4,91",
   "40",
   "400",
-  "43",
   "45",
   "491",
-  "4r3",
-  "4t4r3",
   "5",
   "5%+",
   "5,0",
@@ -308,7 +305,6 @@
   "67",
   "7",
   "7,1",
-  "7,2",
   "7,5",
   "7,5%+",
   "7,50",
@@ -1069,7 +1065,6 @@
   "R.I.P.",
   "RE",
   "RENDITE",
-  "RENDITE_X",
   "REV",
   "REWE",
   "RISIKOPROFIL",
@@ -1084,10 +1079,8 @@
   "Redaktion",
   "Region",
   "Regionen",
-  "Rendite",
   "Rendite-",
   "Rendite-Risiko-Profil",
-  "RenditeX",
   "Renovierungen",
   "Rents",
   "Residential",
@@ -1167,7 +1160,6 @@
   "T",
   "T.",
   "TED",
-  "TEST3243",
   "Tag",
   "Target",
   "Target-IRR",
@@ -1308,7 +1300,6 @@
   "Xxxxx-Xxxxx-Xxxxx",
   "Xxxxx-xxx",
   "Xxxxx-xxxx",
-  "XxxxxX",
   "Xxxxx\u0308xx",
   "Xxxxx\u0308xxx-Xxxxx",
   "Xxxxx\u0308xxxx",
@@ -1403,6 +1394,7 @@
   "across",
   "act",
   "active",
+  "adasd23",
   "add",
   "adv",
   "adv.",
@@ -1559,11 +1551,9 @@
   "berlin",
   "bestandsentwicklung",
   "bestandsentwicklungen",
-  "bestr\u00e4gt",
   "betr",
   "betr.",
   "betreute",
-  "betr\u00e4gt",
   "bev\u00f6lkerungsprognose",
   "beziehungsweise",
   "bez\u00fcglich",
@@ -1694,6 +1684,7 @@
   "d.h",
   "d.h.",
   "d.x",
+  "d23",
   "dX",
   "dXxx.\u20ac",
   "d_d",
@@ -1774,7 +1765,6 @@
   "durchschnittlich",
   "du\u2019s",
   "dv.",
-  "dxdxd",
   "dy",
   "d\u00e4nemark",
   "d\u2019",
@@ -1939,7 +1929,6 @@
   "festgelegt",
   "festgelegter",
   "ff",
-  "fhfhfh56",
   "fierce",
   "fil",
   "financially",
@@ -2040,7 +2029,6 @@
   "ght",
   "gic",
   "gie",
-  "gjufzj45",
   "gl.",
   "global",
   "globale",
@@ -2062,7 +2050,6 @@
   "h.",
   "h.c",
   "h.c.",
-  "h56",
   "haltedauer",
   "halten",
   "halten-strategie",
@@ -2262,7 +2249,6 @@
   "ize",
   "j",
   "j.",
-  "j45",
   "ja",
   "jahr",
   "jahre",
@@ -2743,10 +2729,8 @@
   "relationships",
   "remains",
   "ren",
-  "rendite",
   "rendite-",
   "rendite-risiko-profil",
-  "renditex",
   "renegotiation",
   "renovierungen",
   "rent",
@@ -2803,7 +2787,6 @@
   "s.o",
   "s.o.",
   "s.w",
-  "s45",
   "sa",
   "sa.",
   "sale",
@@ -2814,7 +2797,6 @@
   "scs",
   "scsp",
   "sd.",
-  "sdgds45",
   "sector",
   "sectors",
   "sed",
@@ -2920,7 +2902,6 @@
   "tc.",
   "td.",
   "te-",
-  "teX",
   "ted",
   "tee",
   "teflimmobilfe)-",
@@ -3246,7 +3227,6 @@
   "\u00e4",
   "\u00e4.",
   "\u00e4gl",
-  "\u00e4gt",
   "\u00e4r.",
   "\u00e4rzteh\u00e4user",
   "\u00e4rzteh\u00e4usern",
diff --git a/project/backend/spacy-service/spacy_training/test.json b/project/backend/spacy-service/spacy_training/test.json
deleted file mode 100644
index 818a8fd..0000000
--- a/project/backend/spacy-service/spacy_training/test.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-  "id": "TEST",
-  "extracted_text_per_page": [
-    {
-      "page": 1,
-      "text": "Die Gesamtrendite beträgt 7,2 %."
-    }
-  ]
-}
diff --git a/project/backend/spacy-service/spacy_training/training_data.py b/project/backend/spacy-service/spacy_training/training_data.py
deleted file mode 100644
index a7f58f4..0000000
--- a/project/backend/spacy-service/spacy_training/training_data.py
+++ /dev/null
@@ -1,563 +0,0 @@
-TRAINING_DATA = [
-    (
-        "Core",
-        {"entities": [[0, 4, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Core+",
-        {"entities": [[0, 5, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Core/Core+",
-        {"entities": [[0, 10, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Value Add",
-        {"entities": [[0, 9, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Core/Value Add",
-        {"entities": [[0, 14, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Core+/Value Add",
-        {"entities": [[0, 15, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Core/Core+/Value Add",
-        {"entities": [[0, 20, "RISIKOPROFIL"]]},
-    ),
-    (
-        "The RE portfolio of the fund is a good illustration of Fond expertise in European core/core+ investments .",
-        {"entities": [[82, 92, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Risk level: Core/Core+",
-        {"entities": [[12, 22, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Different risk profile (core, core+, value-added)",
-        {"entities": [[24, 48, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Core/Core+ with OpCo premium",
-        {"entities": [[0, 10, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Core /Core+ Assets, well-established = Key Gateway Cities in Europe le.g. hotels in the market with minor asset London, Paris, Amsterdam, Berlin] management initiatives",
-        {"entities": [[0, 11, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Risikoprofil: Core, Core +",
-        {"entities": [[14, 26, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Name des Fonds Name des Investmentmanagers Allgemeine Informationen Name des Ansprechpartners Telefonnummer des Ansprechpartners E-Mail des Ansprechpartners Art des Anlagevehikels Struktur des Anlagevehikels Sitz des Anlagevehikels Struktur des Antagevehikels vom Manager festgelegter Stil Rechtsform Jahr des ersten Closings Laufzeit Geplantes Jahr der Auflösung Ziel-Netto-IRR / Gesamtrendite* Zielvolumen des Anlagevehikels Ziel-LTY ‚Aktueller LTV Ziirraiaein Maximaler LTV Zielregionfen)/Jand Zielsektoren Zielanlagestrategie INREV Fonds Offen Deutschland Core, Core + Offener Immobilien-Spezialfonds 2022 10 - 12 Jahre 2032 - 2034 7,50%+ 250 Mio. € 20% 0% 20% Führende Metropolregionen Deutschlands und ausgewählte Standorte >50T Einw. Wohnimmobilien Wertstabile Wohnimmobilien (mit Bestandsentwicklungen)",
-        {"entities": [[560, 572, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Core/Core+ strategy, with tactical exposure to development projects aiming at enhancing the quality of the portfolio over time",
-        {"entities": [[0, 10, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Strategie - Übersicht Risikoprofil Core+ Halten-Strategie Kaufen — Halten (langfristig) — Exit 1. Nachvermietungsstrategie Anlagestrategien 2. Standortaufwertungsstrategie 3. Strategie der Aufwertung der Immobilien Niederlande (max. 35 %) Länderallokation Frankreich (max. 35 %) (in % vom Zielvolumen) Skandinavien (Schweden, Dänemark) (max. 35 %) Deutschland (<= 10 %)",
-        {"entities": [[35, 40, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Core and Core+",
-        {"entities": [[0, 14, "RISIKOPROFIL"]]},
-    ),
-    (
-        "core, core+, value-added",
-        {"entities": [[0, 24, "RISIKOPROFIL"]]},
-    ),
-     (
-         "Manage to Core: max 20%",
-         {"entities": [[10, 14, "RISIKOPROFIL"]]},
-     ),
-     (
-         "Benefits of the core/ core+ segment",
-         {"entities": [[16, 27, "RISIKOPROFIL"]]},
-     ),
-     (
-         "Drawbacks of the core/ core+ segment",
-         {"entities": [[17, 28, "RISIKOPROFIL"]]},
-     ),
-     (
-         "Why a Core / Core + investment program?",
-         {"entities": [[6, 19, "RISIKOPROFIL"]]},
-     ),
-     (
-         "Different risk profile (core, core+, value-added)",
-         {"entities": [[24, 48, "RISIKOPROFIL"]]},
-     ),
-     (
-        "INK MGallery Hotel Area: Amsterdam Core Tenant: Closed in 2018",
-        {"entities": [[35, 39, "RISIKOPROFIL"]]},
-     ),
-     (
-         "A strategy targeting high quality Core and Core+ buildings, with defined SRI objectives, in order to extract value through an active asset management.",
-         {"entities": [[34, 48, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Navigate the diversity of the Core/Core+ investment opportunities in European Prime Cities",
-        {"entities": [[30, 40, "RISIKOPROFIL"]]},
-    ),
-    (
-        "GEDis an open-ended Lux-based fund providing an attractive core/core+ real estate exposure, leveraging GRRE expertise in European RE markets. It offers diversification in terms of pan-European geographies and sectors: Offices, Retail and Hotels.",
-        {"entities": [[59, 69, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Core assets leave less room for active asset management value creation",
-        {"entities": [[0, 4, "RISIKOPROFIL"]]},
-    ),
-    (
-        "capital preservation is defined here as a characteristic of core/core+ investments. There is no guarantee of capital.",
-        {"entities": [[60, 70, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Country / city BELGIUM Brussels BELGIUM Brussels SPAIN Madrid FRANCE Levallois FRANCE Paris 14 BELGIUM Brussels NETHERLANDS Rotterdam NETHERLANDS Rotterdam Sector Offices Offices Offices Offices Offices Offices Offices Logistics Risk Core",
-        {"entities": [[234, 238, "RISIKOPROFIL"]]},
-    ),
-    (
-        "GERD(a balanced pan-European open ended retail fund — under the form of a French collective undertaking for Real Estate investments “OPCI”) is the flagship ofQin France and combines RE and listed assets (respective targets of 60% and 40%) with max. 40% leverage. The RE portfolio of the fund is a good illustration Of expertise in European core/core+ investments.",
-        {"entities": [[340, 350, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Prime office assets in Prime markets are very pricey unless rent reversion is real. Risk premium remains attractive on a leveraged basis. Manage to core or build to core can make sense as a LT investor in main cities. Residential is also attractive",
-        {"entities": [[148, 152, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Paris region is a deep and liquid market. Rents have some potential to improve. Considering current low yield and fierce competition, office right outside CBD for Core + assets can be considered. Manage to core strategies could make sense.",
-        {"entities": [[163, 169, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Lisbon is a small market but it experienced a rapid economic recovery in recent years and is interesting for Core Offices, quality Retail assetor Hotel walls with top operators. Limited liquidity of this market means investment must be small",
-        {"entities": [[109, 113, "RISIKOPROFIL"]]},
-    ),
-    (
-        "4,0 %",
-        {"entities": [[0, 5, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Prognostizierte jährliche Ausschüttung von 4,0%",
-        {"entities": [[44, 48, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "20% über einer @ Ausschüttungsrendite von 4,0%",
-        {"entities": [[44, 48, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Prognostizierte Ausschüttungsrandite* Mindestanlage Mitgliedschaft Im Anlagesusschuss Ankaufs- / Verkaufs- / Verkaufs(Teflimmobilfe)- / Baumanagementgebahr (inkl. USt.) Parformanceabhängige Vergütung Einmalige Strukturierungsgebühr Laufzeit / Investtionszeltraum Ausschüttungsintervalle Deutsche Metropolregianen und umliegende Regionen mit Städten >50T Einwohner Artikel 8 Wohnimmobilien Deutschland ‚Aktive Bestandsentwicklung Offener Spezial-AlF mit festen Anlagebedingungen rd. 200 Mio. € / max. 20% rd. 250 Mio. € 7,5 % (nach Kosten & Gebühren, vor Steuern) 8 4,0 % {nach Kosten & Gebühren, var Steuern}",
-        {"entities": [[570, 575, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "5,00-5,25 % Ausschüttungsrendite",
-        {"entities": [[0, 11, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Zielrendite 5,00-5,25 % Ausschüttungsrendite",
-        {"entities": [[12, 23, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Auschüttungsrendite 4,9% 5,3%",
-        {"entities": [[21, 25, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Auschüttungsrendite 4,9% 5,3%",
-        {"entities": [[26, 30, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Auschittungsrendite 3,8% 5,7%",
-        {"entities": [[20, 24, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Auschittungsrendite 3,8% 5,7%",
-        {"entities": [[25, 29, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Auschüttungsrendite 4,5% 4,6%",
-        {"entities": [[21, 25, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Auschüttungsrendite 4,5% 4,6%",
-        {"entities": [[26, 30, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Auschüttungsrendite 5,0% 4,7%",
-        {"entities": [[26, 30, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Auschüttungsrendite 5,0% 4,7%",
-        {"entities": [[21, 25, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Auschüttungsrendite “eons a Nuremberg aha 5,0 % 4,8 %",
-        {"entities": [[43, 48, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Auschüttungsrendite “eons a Nuremberg aha 5,0 % 4,8 %",
-        {"entities": [[49, 54, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "3-4% dividend yield",
-        {"entities": [[0, 4, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Zielmärkte Klassifizierung SFDR Invastitionsfokus Rendite- / Risikoprofil Rechtsform Eigenkapital /FK Quote Investftionsvolumen Prognostizierte Gesamtrendite {IRR)* Prognostizierte Ausschüttungsrandite* Mindestanlage Mitgliedschaft Im Anlagesusschuss Ankaufs- / Verkaufs- / Verkaufs(Teflimmobilfe)- / Baumanagementgebahr (inkl. USt.) Parformanceabhängige Vergütung Einmalige Strukturierungsgebühr Deutsche Metropolregianen und umliegende Regionen mit Städten >50T Einwohner Artikel 8 Wohnimmobilien Deutschland ‚Aktive Bestandsentwicklung Offener Spezial-AlF mit festen Anlagebedingungen rd. 200 Mio. € / max. 20% rd. 250 Mio. € 7,5 % (nach Kosten & Gebühren, vor Steuern) 8 4,0 % {nach Kosten & Gebühren, var Steuern} 5Mio.€ Ab 10 Mio. € 1,40 % / 0,80 % /2,12% / 4,91 % Laufzeit / Investtionszeltraum Ausschüttungsintervalle 20 % über einer @ Ausschüttungsrendite von 4,0 % 0,1% der bis zum 31.12.2023 erfolgten Kapitalzusagen (max. 200.000 &) 10 bis 12 Jahre / bis zu 24 Monate angestrebt Mindestens jährlich",
-        {"entities": [[945, 960, "LAUFZEIT"]]},
-    ),
-    (
-        "Laufzeit / Investtionszeltraum,10 bis 12 Jahre / bis zu 24 Monate angestrebt Ausschüttungsintervalle,Mindestens jährlich",
-        {"entities": [[31, 46, "LAUFZEIT"]]},
-    ),
-    (
-        "10-12 Jahre Laufzeit bei einem LTV von bis zu 20%",
-        {"entities": [[0, 11, "LAUFZEIT"]]},
-    ),
-    (
-        "vom Manager festgelegter Stil Rechtsform Jahr des ersten Closings Laufzeit Geplantes Jahr der Auflösung Ziel-Netto-IRR / Gesamtrendite* Zielvolumen des Anlagevehikels Ziel-LTY‚Aktueller LTV Zielsektoren Zielanlagestrategie Fonds Offen Deutschland Core, Core + Offener Immobilien-Spezialfonds 2022 10 - 12 Jahre",
-        {"entities": [[297, 310, "LAUFZEIT"], [247, 259, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Allgemeine Annahmen Ankaufsphase Haltedauer Zielobjektgröße Finanzierung Investitions-annahmen Zielrendite 24 Monate Investmentzeitraum 10 Jahre (+) EUR 20-75 Mio. Keine externe Finanzierung zum Auftakt (ausschließlich Darlehen der Anteilseigner). Die Finanzierung wird nach der Ankaufsphase und Stabilisierung der Zinssätze neu geprüft. Angestrebter LTV zwischen 25-40 % Investitionen für Renovierungen und ESG- Verbesserungen werden für jedes Objekt einzeln festgelegt. 5,00-5,25 % Ausschüttungsrendites",
-        {"entities": [[136, 148, "LAUFZEIT"], [472, 483, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Zielrendite 5,00-5,25 % Ausschüttungsrendite 1) Ankauf von Objekten an Tag eins mit 100% Eigenkapital. Die Strategie unterstellt die Aufnahme von Fremdkapital, sobald sich die Zins- und Finanzierungskonditionen nachhaltig stabilisieren. Strategie - Übersicht Risikoprofil Core+",
-        {"entities": [[12, 23, "AUSSCHÜTTUNGSRENDITE"], [272, 277, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Vehicle lifetime / investment period Open-ended fund",
-        {"entities": [[37, 52, "LAUFZEIT"]]},
-    ),
-    (
-        "Vehicle / domicile Alternative Investment Fund / Luxembourg (e.g. SCSp SICAV-RAIF) Investment strategy eturn pro Real Estate (PropCo + OpCo) Investing in upscale hotels with long-term management contracts in major European destinations Core/Core+ with OpCo premium Management Agreements solely with financially strong and experienced partners/ global brands Cash flow-oriented Cash-flow pattern Target equity /AuM € 400m equity / € 800m AuM (50% Loan-to-Value) Vehicle lifetime / investment period Open-ended fund",
-        {"entities": [[498, 513, "LAUFZEIT"], [236, 245, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Vehicle type (Lux-RAIF) (net of fees) IRR6.5% ACCOR Vehicle structure Open-ended Targetvehiclesize € 400m (equity) Manager-defined Core/Core+ with | style OpCo Premium darge CLV. 50% Pt H | LTO N WORLDWIDE Year of first closing 2020 Target no. ofinvestors 1-5 Fund life (yrs} Open-ended Min-commitmentper —¢ 400m",
-        {"entities": [[131, 141, "RISIKOPROFIL"], [70, 80, "LAUFZEIT"]]},
-    ),
-    (
-        "Fund term: Open-ended",
-        {"entities": [[11, 21, "LAUFZEIT"]]},
-    ),
-    (
-        "Abdeckung der Risiko-Rendite-Bandbreite (Core, Core+, Value-Add)",
-        {"entities": [[41, 63, "RISIKOPROFIL"]]},
-    ),
-    (
-        "5,1% - 8,5% IRR!",
-        {"entities": [[0, 11, "RENDITE"]]},
-    ),
-    (
-        "Retailinvestitionsvolumen nach Ländern (2024) Vereinigtes Königreich, 26,4% Deutschland, 19,0% Andere, 19,7% Italien, 8,2% Irland, 3,3% N | Frankreich, Spanien, 8,1%",
-        {"entities": [[46, 75, "LÄNDERALLOKATION"], [76, 94, "LÄNDERALLOKATION"], [95, 108, "LÄNDERALLOKATION"], [109, 122, "LÄNDERALLOKATION"], [123, 135, "LÄNDERALLOKATION"]]},
-    ),
-    (
-        "Erwartete IRR 5 (je nach Objekt- ‘A(E) 6.00% - 8,00%",
-        {"entities": [[39, 52, "RENDITE"]]},
-    ),
-    (
-        "Zielmarkts Deutsche Metropolregianen und umliegende Regionen mit Städten >50T Einwohner Klassifizierung SFDR Artikel 8 Invastitionsfokus Wohnimmobilien Deutschland Rendite- / Risikoprofil ‚Aktive Bestandsentwicklung Rechtsform Offener Spezial-AlF mit festen Anlagebedingungen Eigenkapital /FK Quote rd. 200 Mio. € / max. 20% Investftionsvolumen rd. 250 Mio. € Prognostiderte Gesamtrendite {IRR)* 7,5 % (nach Kosten & Gebühren, vor Steuern) Prognostizierte Ausschüttungsrandite* @ 4,0 % {nach Kosten & Gebühren, var Steuern} Mindestanlage 5Mio.€ Mitgliedschaft Im Anlagesusschuss Ab 10 Mio. € Ankaufs- / Verkaufs- / Verkaufs(Teflimmobilfe)- / Baumanagementgebahr (inkl. USt) 1,40 %/080%/212%/491% Parformanceabhängige Vergütung 20 % über einer ® Ausschüttungsrendite von 4,0% Einmalige Strukturierungsgebühr 0,1% der bis zum 31.12.2023 erfolgten Kapitalzusagen (max. 200.000 €) Laufzelt / Investtonszeltraum 10 bis 12 Jahre / bis zu 24 Monate angestrebt Ausschüttungsintervalle Mindestens jährlich",
-        {"entities": [[396, 401, "RENDITE"], [482, 487, "AUSSCHÜTTUNGSRENDITE"], [914, 929, "LAUFZEIT"]]},
-    ),
-    (
-        "= Prognostizierte jährliche Ausschüttung von @ 4,0%* = Prognostizierte Gesamtrendite (IRR) von 7,5%*",
-        {"entities": [[48, 52, "AUSSCHÜTTUNGSRENDITE"], [96, 100, "RENDITE"]]},
-    ),
-    (
-        "Prognose: 7,5%+ IRR auf Fondsebene",
-        {"entities": [[10, 14, "RENDITE"]]},
-    ),
-    (
-        "= Prognostizierte jährliche Ausschüttung* von 84,0% = Prognostizierte Gesamtrendite (IRR}* von 7,5%",
-        {"entities": [[96, 100, "RENDITE"], [49, 53, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "= Lagefokussierung: Metropolregionen Deutschlands = Finanzierung: max. 20% LTV = Risikoprofil: Core, Core +",
-        {"entities": [[95, 107, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Performance-Fee: 20% über einer @ Ausschüttungsrendite von 4,0%",
-        {"entities": [[61, 65, "AUSSCHÜTTUNGSRENDITE"]]},
-    ),
-    (
-        "Fondstyp Offener Spezial-AIF nach KAGB mit festen Anlagebedingungen ESG-Klassifizierung Fonds gemäß Artikel 8 EU-Offenlegungsverordnung KVG IntReal GmbH, Hamburg Anlagestrategie Aufbau eines Objektportfolios aus Ärztehäusern, die langfristig vermietet sind Ärztehäuser, Laborimmobilien, im Verbund mit Ärztehäusern auch ambulant Zielobjekte betreute Wohngemeinschaften; Mietanteil Medizin und medizinnahe Dienstleistungen/Handel > 65 % (Objektebene) WALT >5 Jahre bei Ankauf Objektbaujahre Ab 2000 Anlagegrenzen Einzelinvestment 8-30 Mio. EUR  Anzahl Objekte 10-20 Deutschland bundesweit; jeweiliges Einzugsgebiet > 25.000 Einwohner mit Regionen stabiler Bevölkerungsprognose Risikoprofil Core / Core +",
-        {"entities": [[689, 702, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Fondsvolumen 300 Mio. EUR Zielrendite (IRR) > 6,0 % p. a. Ausschuttung >5,0 % p. a.  Ankaufszeitraum 2024-2026 Laufzeit 31.12.2036 Mindestanlage 10 Mio. EUR Anlageausschuss Ja, entscheidet u. a. über Objekterwerb (Mitglied kann ab 20 Mio. EUR gestellt werden) Gebührenstruktur Marktüblich (auf Anfrage) Projektentwicklungen keine Forward-Deals Möglich, maximal 18 Monate Vorlauf; keine Projektentwicklungsrisiken beim Fonds Erbbaurechte Möglich, sofern Laufzeit > 60 Jahre und angemessene Entschädigung bei Ablauf und Heimfall Status Objektpipeline vorhanden: siehe Folie 16 ff.",
-        {"entities": [[44, 57, "RENDITE"], [71, 83, "AUSSCHÜTTUNGSRENDITE"], [120, 130, "LAUFZEIT"]]},
-    ),
-    (
-        "Niederlande (max. 35 %) Länderallokation Frankreich (max. 35 %) (in % vom Zielvolumen) Skandinavien (Schweden, Dänemark) (max. 35 %) Deutschland (<= 10 %)",
-        {"entities": [[0, 23, "LÄNDERALLOKATION"], [41, 63, "LÄNDERALLOKATION"], [87, 132, "LÄNDERALLOKATION"],  [133, 154, "LÄNDERALLOKATION"]]},
-    ),
-    (
-        "Führender Immobilien-Investmentmanager in den Nordics für globale ll institutionelle Investoren in Value Add und Core Strategien",
-        {"entities": [[101, 119, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Core und Core+ Fonds",
-        {"entities": [[0, 14, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Risikoprofil Core / Core+",
-        {"entities": [[13, 25, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Durchschnittlich geplante jährliche Ausschüttung von 4,5-5,5% auf das investierte Eigenkapital an die Anleger Geplante Gesamtrendite von 5-6% (IRR) auf das eingezahlte Eigenkapital",
-        {"entities": [[54, 62, "AUSSCHÜTTUNGSRENDITE"], [138, 142, "RENDITE"]]},
-    ),
-    (
-        "Geografische Zielallokation nach Investitionsphase des Fonds: 1) Schweden 20-60% Allokation Länder 2) Finnland 20-60% 3) Norwegen 10-40% 4) Dänemark 10-40%",
-        {"entities": [[65, 80, "LÄNDERALLOKATION"], [102, 117, "LÄNDERALLOKATION"], [121, 136, "LÄNDERALLOKATION"], [140, 155, "LÄNDERALLOKATION"]]},
-    ),
-    (
-        "Deutsches Spezial-Sondervermögen mit festen Anlagebedingungen ($284 KAGB) Immobilien- oder Infrastrukturquote (nach Solvency II) Core / Core+ Euro Hauptstadtregionen und andere Großstädte in den Nordics €500 Mio. 4,5-5,5% 15 Jahre; Fonds hat unbegrenzte Laufzeit; Investmentphase 4 Jahre Maximaler Fremdkapitalanteil 50% (LTV-Ziel bei Ankauf), Langfristiges LTV-Ziel auf Fondsebene ist 45% 0,625% p. a. des Bruttofondsvermögens Zeichnungen ab € 30 Mio. - 0,03 % Rabatt Zeichnungen ab € 50 Mio. - zusatzl. 0,03 % Rabatt 1,1% des Verkehrswertes 0,6% der Bruttoverkaufswert 10% wenn Hurdle Rate 5,0 % p. a. (IRR netto) überschritten wird (nach 15 Jahren berechnet) Ja",
-        {"entities": [[129, 141, "RISIKOPROFIL"], [213, 221, "ZIELRENDITE"], [242, 262, "LAUFZEIT"]]},
-    ),
-    (
-        "Standort Helsinki, Finnland Sektor Bildungswesen, Schule& Kindertagesstätte Vermietbare Fläche 3.321 m? Leerstand bei Ankauf 0% / 0% Ankaufspreis+ Investitionen €21,4 Mio. + €0,2 Mio Eigenkapital €21,6 Mio. Ankaufs- / Stabilisierungs- / Exitrendite 5,0%/ 5,5%/ 5,0% NOI zum Ankaufszeitpunkt / Exit-NOI €1.1m/ €1.2m Zielrenditen (netto für LPs) 5,4% IRR/ 1.5x EM / DY 4,3% Ankauf / Exit Dezember 2023/ Dezember 2033",
-        {"entities": [[345, 349, "ZIELRENDITE"]]},
-    ),
-    (
-        "Evergreen/offene Fondsstrukturenv Core / Core+ Strategien",
-        {"entities": [[34, 46, "RISIKOPROFIL"]]},
-    ),
-    (
-        "BEE Henderson German 2012 Logistik Core/D/Art. 8 € 336 Mio. 12 (voll investiert) 13,0 % p.a.",
-        {"entities": [[35, 39, "RISIKOPROFIL"], [81, 87, "RENDITE"]]},
-    ),
-    (
-        "ICF German Logistics 2014 Logistik Core/D/Art. 8 € 400 Mio. 16 (voll investiert) 12,0 % p.a.",
-        {"entities": [[35, 39, "RISIKOPROFIL"], [81, 87, "RENDITE"]]},
-    ),
-    (
-        "Individualmandat 2015 Logistik Core / D+AU/ ArTt. 6 € 200 Mio. 8 (realisiert) 8,0 % p.a.",
-        {"entities": [[31, 35, "RISIKOPROFIL"], [78, 83, "RENDITE"]]},
-    ),
-    (
-        "European Logistics Partnership” 2017 Logistik Value-Add / Europ/a - € 1.000 Mio. 28 (realisiert) 20,0 % p.a.",
-        {"entities": [[46, 55, "RISIKOPROFIL"], [97, 103, "RENDITE"]]},
-    ),
-    (
-        "European Core Logistics Fund (ECLF 1) 2021 Logistik Core / Euro/p Arat. 8 € 314 Mio. 12 (voll investiert) 7,50 % p.a.",
-        {"entities": [[9, 13, "RISIKOPROFIL"], [106, 112, "RENDITE"]]},
-    ),
-    (
-        "P-Logistik Europa Fonds (ECLF 2) 2022 Logistik Core / Euro/p Arat. 8 € 150 Mio.? A (voll investiert) 6,5 % p.a.?",
-        {"entities": [[47, 51, "RISIKOPROFIL"], [101, 106, "RENDITE"]]},
-    ),
-    (
-        "First Business Parks 2015 Light Industrial Value Add / D+AUT € 100 Mio. 6 (realisiert) 16,0 % p.a.",
-        {"entities": [[43, 52, "RISIKOPROFIL"], [87, 93, "RENDITE"]]},
-    ),
-    (
-        "Unternehmensimmobilien Club 1 2016 Light Industrial Core+/D € 186 Mio. 9 (voll investiert) 13,0 % p.a.",
-        {"entities": [[91, 97, "RENDITE"]]},
-    ),
-    (
-        "Unternehmensimmobilien Club 1 2016 Light Industrial Core+/D € 186 Mio. 9 (voll investiert) 13,0 % p.a.",
-        {"entities": [[52, 57, "RISIKOPROFIL"], [91, 97, "RENDITE"]]},
-    ),
-    (
-        "Unternehmensimmobilien Club 2 2021 Light Industrial Core+/D € 262 Mio. 12 (voll investiert) 9,00 % p.a.",
-        {"entities": [[52, 57, "RISIKOPROFIL"], [92, 98, "RENDITE"]]},
-    ),
-    (
-        "Individualmandat 2022 Light Industrial Value-Add / Nordics € 100 Mio. 5 (voll investiert) 18,0 % p.a.",
-        {"entities": [[39, 48, "RISIKOPROFIL"], [90, 96, "RENDITE"]]},
-    ),
-    (
-        "EUROPEAN CORE LOGISTICS FUND 3",
-        {"entities": [[9, 13, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Core Investitionen",
-        {"entities": [[0, 4, "RISIKOPROFIL"]]},
-    ),
-    (
-        "8 % IRR",
-        {"entities": [[0, 3, "RENDITE"]]},
-    ),
-    (
-        "Rendite-Risiko-Profil Core ° Geographischer Fokus Kontinentaleuropaische Kernvolkswirtschaften nach Allokationsprofil * Sektoraler Fokus Logistikimmobilien nach Allokationsprofil Kapitalstruktur ° Eigenkapital € 250 Mio. ° Fremdkapital 50 % angestrebt, max. 60 % der Immobilienwerte (Objektebene) °e Mindestzeichnung € 10 Mio. Vehikelstruktur ° Rechtsform Immobilien-Spezial-AlF mit festen Anlagebedingungen nach 3 284 KAGB ° Klassifikation Artikel 8 Offenlegungsverordnung ¢ Anlagehorizont 10 Jahre mit Verlängerungsoption um 2 Jahre! ° Geplante Auflage 01 2025 Performanceziel? ° Ausschüttung 6,0 % p.a. (Durchschnitt 10 Jahre Haltedauer) ° Interner Zinsfuß (IRR) 8,0 % p.a. (10 Jahre Haltedauer, Target-IRR)",
-        {"entities": [[22, 26, "RISIKOPROFIL"], [596, 601, "AUSSCHÜTTUNGSRENDITE"], [667, 672, "RENDITE"]]},
-    ),
-    (
-        "Core/Core+, mit Cash-Flow-Stabilität",
-        {"entities": [[0, 10, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Zielausschüttung: min. 5,10%",
-        {"entities": [[24, 29, "ZIELAUSSCHÜTTUNG"]]},
-    ),
-    (
-        "Zielrendite (IRR): min. 5,50%",
-        {"entities": [[24, 29, "ZIELRENDITE"]]},
-    ),
-    (
-        "Rewe & Lidl Maxhütte-Haidhof é ae: 6 s Bahnhof Ankermieter REWE & Lidl er WALT 20 und 17 Jahre Miete p.a. 1.127.916 € Kaufpreis 21,43 Mio. € Faktor 19,00 x LTV / Zins 80% / 4,0% Ausschüttung 5,7 % IRR 7,1%",
-        {"entities": [[193, 198, "AUSSCHÜTTUNGSRENDITE"], [203, 207, "ZIELRENDITE"]]},
-    ),
-    (
-        "Real Estate Prime Europe Access the Core of European Prime Cities with a green SRI fund including a genuine low carbon commitment",
-        {"entities": [[36, 40, "RISIKOPROFIL"]]},
-    ),
-    (
-        "(FR, UK, DE, BE, NL, LU, Nordics, Allocation SP, IT, CH)",
-        {"entities": [[1, 32, "LÄNDERALLOKATION"], [45, 55, "LÄNDERALLOKATION"]]},
-    ),
-    (
-        "IRR: 6% - 7%",
-        {"entities": [[5, 12, "RENDITE"]]},
-    ),
-    (
-        "Europe | Germany 67 Value Add",
-        {"entities": [[9, 16, "LÄNDERALLOKATION"], [20, 29, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Germany, Norway 336 Core Plus",
-        {"entities": [[0, 7, "LÄNDERALLOKATION"], [20, 29, "RISIKOPROFIL"]]},
-    ),
-    (
-        "UK",
-        {"entities": [[0, 2, "LÄNDERALLOKATION"]]},
-    ),
-    (
-        "NORWAY",
-        {"entities": [[0, 6, "LÄNDERALLOKATION"]]},
-    ),
-    (
-        "9.8% IRR",
-        {"entities": [[0, 4, "RENDITE"]]},
-    ),
-    (
-        "Investment volume down 52% to €2.3 billion, with 4,000 100 14% value-add and core-plus increasing YoY",
-        {"entities": [[63, 86, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Geared Gross IRR‘ seeking a range of 16-18% per annum",
-        {"entities": [[37, 43, "RENDITE"]]},
-    ),
-    (
-        "Open-ended fund 24 months, incl. rolling reinvestment Sale of individual assets with respective management contracts or geared leases IRR: >6.5% | CoC: >5.0%",
-        {"entities": [[0, 10, "LAUFZEIT"], [139, 144, "RENDITE"]]},
-    ),
-    (
-        "Our investment strategy focuses on investing in upscale hotels in European prime locations, including DACH, Italy, Spain, Portugal, France, UK, Denmark, Benelux,and Poland.",
-        {"entities": [[102, 171, "LÄNDERALLOKATION"]]},
-    ),
-    (
-        "Core+ assets with value-add potential, Emerging Gateway Cities Helsinki] Core+ with Value well-mitigated risk and great upside Potential potential through asset improvement or = Max. 20% UK & Ireland {no contract renegotiation currency risk hedging], 80% tinental E > IRR target of 6-9%",
-        {"entities": [[0, 5, "RISIKOPROFIL"], [282, 286, "RENDITE"]]},
-    ),
-    (
-        "10% net IRR since inception in 2018?",
-        {"entities": [[0, 3, "RENDITE"]]},
-    ),
-    (
-        "Eurozone: Benelux, France and Germany",
-        {"entities": [[10, 37, "LÄNDERALLOKATION"]]},
-    ),
-    (
-        "Open-ended, with quarterly liquidity (redemption rights, dual pricing)",
-        {"entities": [[0, 10, "LAUFZEIT"]]},
-    ),
-    (
-        "Class A & B (Institutional): 0.93% on NAV; Class D (Wholesale): 1.80% on NAV; Class P (Wholesale): 1.25% on NAV",
-        {"entities": [[29, 34, "MANAGMENTGEBÜHREN"], [64, 69, "MANAGMENTGEBÜHREN"], [99, 104, "MANAGMENTGEBÜHREN"]]},
-    ),
-    (
-        "Risk profile: favour core > © at least and core+ assets with a targeted N 2 n allocation to value add assets to enhance returns",
-        {"entities": [[21, 25, "RISIKOPROFIL"], [43, 48, "RISIKOPROFIL"]]},
-    ),
-    (
-        "The Netherlands (38 assets) = Germany (9 assets) 10 largest Country assets split France (8 assets)",
-        {"entities": [[0, 15, "LÄNDERALLOKATION"], [30, 37, "LÄNDERALLOKATION"], [81, 87, "LÄNDERALLOKATION"]]},
-    ),
-    (
-        "Expected IRR 10.9%",
-        {"entities": [[13, 18, "ZIELRENDITE"]]},
-    ),
-    (
-        "Structure Open-end, perpetual life, Luxembourg domiciled Initial Target Size* €2 billion 6-8% total return,",
-        {"entities": [[10, 18, "LAUFZEIT"], [89, 93, "RENDITE"]]},
-    ),
-    (
-        "Geographic Focus: UK, Ireland, Iberia, Nordics, Netherlands, Germany, France, Italy",
-        {"entities": [[18, 83, "LÄNDERALLOKATION"]]},
-    ),
-    (
-        "IRR of 13-14%",
-        {"entities": [[7, 13, "RENDITE"]]},
-    ),
-    (
-        "Value-add",
-        {"entities": [[0, 9, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Geographic allocation NORDICS UNITED KINGDOM GERMANY FRANCE PORTUGAL BENELUX",
-        {"entities": [[22, 76, "LÄNDERALLOKATION"]]},
-    ),
-    (
-        "Strong track record delivering a 17% net IRR, 1.7x net multiple across all divested assets (both discretionary and non-discretionary mandates)",
-        {"entities": [[33, 36, "RENDITE"]]},
-    ),
-    (
-        "Targeting a 7-8% net annual return and a 3-4% dividend yield, reflecting a target LTV of 35% (capped at 37.5%)",
-        {"entities": [[12, 16, "RENDITE"]]},
-    ),
-    (
-        "Sweden Norway Denmark Finland",
-        {"entities": [[0, 29, "LÄNDERALLOKATION"]]},
-    ),
-    (
-        "Logistics Residential Office Other",
-        {"entities": [[0, 34, "SEKTORENALLOKATION"]]},
-    ),
-    (
-        "Fund Term Open-ended with an initial 24-month lock-in for new investors",
-        {"entities": [[10, 20, "LAUFZEIT"]]},
-    ),
-    (
-        "Management fee of 85 bps on NAV.",
-        {"entities": [[18, 24, "MANAGMENTGEBÜHREN"]]},
-    ),
-    (
-        "Core/Core+ strategy, with tactical exposure to development projects aiming at enhancing the quality of the portfolio over time",
-        {"entities": [[0, 10, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Fund term: Open-ended",
-        {"entities": [[11, 21, "LAUFZEIT"]]},
-    ),
-    (
-        "Return targets: The fund targets a net internal rate of return (IRR) of 8% and a net annual income yield of 5% with planned quarterly distributions’.",
-        {"entities": [[72, 74, "RENDITE"]]},
-    ),
-    (
-        "Geographic scope: The fund has a broad mandate to invest in commercial and residential real estate across Sweden, Denmark, Finland, and Norway. 50% LTV Asset selection: Heirs to acquire high-quality, income-generating properties in major Nordic cities and enhance their value through active asset management. Portfolio construction: The goal is to build diversified portfolios that are appealing to core buyers upon exit.",
-        {"entities": [[106, 142, "LÄNDERALLOKATION"]]},
-    ),
-    (
-        "Experience: Since 2012, | | has demonstrated its capability to build diversified and resilient portfolios for its core-plus funds. German Real Estate Quota advantage . Local expertise: extensive local relationships and proprietary deal flow in key Nordic markets provide a strategic advantage.",
-        {"entities": [[114, 123, "RISIKOPROFIL"]]},
-    ),
-    (
-        "Target returns: 8% net IRR with 5% net annual income yield! * Geographic focus: Sweden, Denmark, Norway and Finland « Target leverage: 50% LTV (excluding short-term borrowing) « Sector exposure: office, logistics, public properties, retail (focused on grocery anchored and necessity driven retail) and residentials « Investment focus: high quality properties,",
-        {"entities": [[16, 18, "RENDITE"], [80, 115, "LÄNDERALLOKATION"], [195, 239, "SEKTORENALLOKATION"]]},
-    ),
-    (
-        "The Fund 2 xemoours common limited partnership (SCS) (SICAV-RAIF) Investment Objective To pursue investments in commercial and residential properties throughout the Nordic Region Fund Target Size €300 million (equity) Return Targets Target net IRR of 8%, target net annual income yield of 5%",
-        {"entities": [[251, 253, "RENDITE"]]},
-    )
-
-]
-
-
-
-
diff --git a/project/backend/spacy-service/spacy_training/training_model.py b/project/backend/spacy-service/spacy_training/training_model.py
deleted file mode 100644
index 0ac3a1a..0000000
--- a/project/backend/spacy-service/spacy_training/training_model.py
+++ /dev/null
@@ -1,40 +0,0 @@
-import os
-from pathlib import Path
-
-import spacy
-from spacy.cli.train import train
-
-from spacy.tokens import DocBin
-
-from tqdm import tqdm
-
-from training_data import TRAINING_DATA
-
-nlp = spacy.blank("de")
-
-# create a DocBin object
-db = DocBin()
-
-for text, annot in tqdm(TRAINING_DATA):
-    doc = nlp.make_doc(text)
-    ents = []
-    # add character indexes
-    for start, end, label in annot["entities"]:
-        span = doc.char_span(start, end, label=label, alignment_mode="contract")
-        if span is None:
-            print(f"Skipping entity: |{text[start:end]}| Start: {start}, End: {end}, Label: {label}")
-        else:
-            ents.append(span)
-    # label the text with the ents
-    doc.ents = ents
-    db.add(doc)
-
-# save the DocBin object
-os.makedirs("./data", exist_ok=True)
-db.to_disk("./data/train.spacy")
-
-config_path = Path("config.cfg")
-output_path = Path("output")
-
-print("Starte Training...")
-train(config_path, output_path)
diff --git a/project/backend/spacy-service/spacy_training/training_running.json b/project/backend/spacy-service/spacy_training/training_running.json
index 0aaa3c2..ef4cde9 100644
--- a/project/backend/spacy-service/spacy_training/training_running.json
+++ b/project/backend/spacy-service/spacy_training/training_running.json
@@ -1 +1 @@
-{"running": false}
+{"running": false}
\ No newline at end of file
diff --git a/project/docker-compose.yml b/project/docker-compose.yml
index 954125f..1c5a848 100644
--- a/project/docker-compose.yml
+++ b/project/docker-compose.yml
@@ -37,8 +37,6 @@ services:
       retries: 10
     ports:
       - 5050:5000
-    volumes:
-      - ./backend/spacy-service/spacy_training:/app/spacy_training
 
   ocr:
     build:
diff --git a/project/frontend/package.json b/project/frontend/package.json
index cf2c916..9ba5f74 100644
--- a/project/frontend/package.json
+++ b/project/frontend/package.json
@@ -23,7 +23,6 @@
 		"@tanstack/react-router": "^1.114.3",
 		"@tanstack/react-router-devtools": "^1.114.3",
 		"@tanstack/router-plugin": "^1.114.3",
-		"file-saver": "^2.0.5",
 		"react": "^19.0.0",
 		"react-dom": "^19.0.0",
 		"react-material-file-upload": "^0.0.4",
diff --git a/project/frontend/src/components/KPIForm.tsx b/project/frontend/src/components/KPIForm.tsx
index bec82f6..452dfd8 100644
--- a/project/frontend/src/components/KPIForm.tsx
+++ b/project/frontend/src/components/KPIForm.tsx
@@ -400,13 +400,14 @@ export function KPIForm({ mode, initialData, onSave, onCancel, loading = false,
 function generateSpacyEntries(formData: Partial<Kennzahl>) {
     const label = formData.name?.trim().toUpperCase() || "";
     return (formData.examples || []).map(({ sentence, value }) => {
-        const start = sentence.indexOf(value);
+        const trimmedValue = value.trim();
+        const start = sentence.indexOf(trimmedValue);
         if (start === -1) {
-            throw new Error(`"${value}" nicht gefunden in Satz: "${sentence}"`);
+            throw new Error(`"${trimmedValue}" nicht gefunden in Satz: "${sentence}"`);
         }
         return {
             text: sentence,
-            entities: [[start, start + value.length, label]]
+            entities: [[start, start + trimmedValue.length, label]]
         };
     });
 }
diff --git a/project/frontend/src/routes/config.tsx b/project/frontend/src/routes/config.tsx
index 6f94090..ae32e9a 100644
--- a/project/frontend/src/routes/config.tsx
+++ b/project/frontend/src/routes/config.tsx
@@ -51,7 +51,7 @@ function ConfigPage() {
                 const data = await res.json();
                 if (data.running) {
                     setTrainingRunning(true);
-                    pollTrainingStatus(); 
+                    pollTrainingStatus();
                 }
             } catch (err) {
                 console.error("Initiale Trainingsstatus-Abfrage fehlgeschlagen", err);
@@ -78,23 +78,30 @@ function ConfigPage() {
         }
     };
 
-    const handleTriggerTraining = () => {
+    const handleTriggerTraining = async () => {
         setTrainingRunning(true);
-        setSnackbarMessage("Training wurde gestartet.");
-        setSnackbarOpen(true);
 
-        fetch(`${API_HOST}/api/spacy/train`, {
-            method: "POST",
-        }).catch(err => {
+        try {
+            const response = await fetch(`${API_HOST}/api/spacy/train`, {
+                method: "POST",
+            });
+
+            if (!response.ok) throw new Error("Training konnte nicht gestartet werden");
+
+            // Erfolgsmeldung erst hier anzeigen
+            setSnackbarMessage("Training wurde gestartet.");
+            setSnackbarOpen(true);
+
+            pollTrainingStatus(); // jetzt starten
+        } catch (err) {
+            console.error(err);
             setSnackbarMessage("Fehler beim Starten des Trainings.");
             setSnackbarOpen(true);
-            console.error(err);
-        });
-
-        pollTrainingStatus(); // Starte Überwachung
-
+            setTrainingRunning(false);
+        }
     };
 
+
     const pollTrainingStatus = () => {
         const interval = setInterval(async () => {
             try {