feinschliff für pek

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Ida Dittrich 2025-12-01 17:24:56 +01:00
parent 8970761bb8
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Analyze the following user command and extract the intent, entity, and parameters.
User Command: "wie viele Projekte in Zürich gibt es?"
Available intents:
- CREATE: User wants to create a new entity
- READ: User wants to read/query entities
- UPDATE: User wants to update an existing entity
- DELETE: User wants to delete an entity
- QUERY: User wants to execute a database query (SQL statements)
Available entities and their fields:
**Projekt** (Real estate project):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (project designation/name)
- statusProzess: string enum (Eingang, Analyse, Studie, Planung, Baurechtsverfahren, Umsetzung, Archiv)
- perimeter: GeoPolylinie (geographic boundary, JSONB)
- baulinie: GeoPolylinie (building line, JSONB)
- parzellen: List[Parzelle] (plots belonging to project, JSONB)
- dokumente: List[Dokument] (documents, JSONB)
- kontextInformationen: List[Kontext] (context info, JSONB)
**Parzelle** (Plot/parcel):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (plot designation)
- strasseNr: string (street and house number)
- plz: string (postal code)
- kontextGemeinde: string (municipality ID, Foreign Key to Gemeinde table)
- bauzone: string (building zone, e.g. W3, WG2)
- az: float (Ausnützungsziffer)
- bz: float (Bebauungsziffer)
- vollgeschossZahl: int (number of allowed full floors)
- gebaeudehoeheMax: float (maximum building height in meters)
- laermschutzzone: string (noise protection zone)
- hochwasserschutzzone: string (flood protection zone)
- grundwasserschutzzone: string (groundwater protection zone)
- parzelleBebaut: JaNein enum (is plot built)
- parzelleErschlossen: JaNein enum (is plot developed)
- parzelleHanglage: JaNein enum (is plot on slope)
**Important relationships:**
- Projekte contain Parzellen (projects have plots)
- Parzelle links to Gemeinde (via kontextGemeinde)
- Gemeinde links to Kanton (via id_kanton)
- Kanton links to Land (via id_land)
- Location queries (city, postal code) should use Parzelle.kontextGemeinde (municipality name will be resolved to ID)
- Projekt does NOT have location fields directly - location is stored in associated Parzellen
Return a JSON object with the following structure:
{
"intent": "CREATE|READ|UPDATE|DELETE|QUERY",
"entity": "Projekt|Parzelle|Dokument|Kanton|Gemeinde|null",
"parameters": {
// Extracted parameters from user input
// For CREATE/UPDATE: include all relevant fields using EXACT field names from above
// For READ: include filter criteria using EXACT field names (id, label, plz, kontextGemeinde, etc.)
// For DELETE: include entity ID if mentioned
// For QUERY: include queryText if SQL is detected
// IMPORTANT: Use only field names that exist in the entity definition above
},
"confidence": 0.0-1.0 // Confidence score for the analysis
}
Examples:
- Input: "Erstelle ein neues Projekt namens 'Hauptstrasse 42'"
Output: {"intent": "CREATE", "entity": "Projekt", "parameters": {"label": "Hauptstrasse 42"}, "confidence": 0.95}
- Input: "Zeige mir alle Projekte"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {}, "confidence": 0.9}
- Input: "Zeige mir Projekte in Zürich" or "Wie viele Projekte in Zürich"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {"location_filter": "Zürich"}, "confidence": 0.9}
Note: For project location queries, use Projekt entity with location_filter parameter
- Input: "Zeige mir Parzellen mit PLZ 8000"
Output: {"intent": "READ", "entity": "Parzelle", "parameters": {"plz": "8000"}, "confidence": 0.95}
- Input: "Aktualisiere Projekt XYZ mit Status 'Planung'"
Output: {"intent": "UPDATE", "entity": "Projekt", "parameters": {"id": "XYZ", "statusProzess": "Planung"}, "confidence": 0.85}
- Input: "SELECT * FROM Projekt WHERE label = 'Test'"
Output: {"intent": "QUERY", "entity": null, "parameters": {"queryText": "SELECT * FROM Projekt WHERE label = 'Test'", "queryType": "sql"}, "confidence": 1.0}
- Input: "Lösche Parzelle ABC"
Output: {"intent": "DELETE", "entity": "Parzelle", "parameters": {"id": "ABC"}, "confidence": 0.9}

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```json
{
"intent": "READ",
"entity": "Projekt",
"parameters": {
"location_filter": "Zürich"
},
"confidence": 0.9
}
```
**Analysis:**
- **Intent**: READ - The user wants to query/count existing projects ("wie viele ... gibt es?" = "how many ... are there?")
- **Entity**: Projekt - The user is asking about "Projekte" (projects)
- **Parameters**:
- `location_filter: "Zürich"` - The user wants to filter projects by location (Zürich). Since Projekt doesn't have direct location fields, this will need to be resolved through the associated Parzellen's kontextGemeinde relationship
- **Confidence**: 0.9 - High confidence as the intent and entity are clear, though the query involves a relationship traversal (Projekt → Parzelle → Gemeinde)

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Analyze the following user command and extract the intent, entity, and parameters.
User Command: "Erstelle ein neues Projekt in Zürich"
Available intents:
- CREATE: User wants to create a new entity
- READ: User wants to read/query entities
- UPDATE: User wants to update an existing entity
- DELETE: User wants to delete an entity
- QUERY: User wants to execute a database query (SQL statements)
Available entities and their fields:
**Projekt** (Real estate project):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (project designation/name)
- statusProzess: string enum (Eingang, Analyse, Studie, Planung, Baurechtsverfahren, Umsetzung, Archiv)
- perimeter: GeoPolylinie (geographic boundary, JSONB)
- baulinie: GeoPolylinie (building line, JSONB)
- parzellen: List[Parzelle] (plots belonging to project, JSONB)
- dokumente: List[Dokument] (documents, JSONB)
- kontextInformationen: List[Kontext] (context info, JSONB)
**Parzelle** (Plot/parcel):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (plot designation)
- strasseNr: string (street and house number)
- plz: string (postal code)
- kontextGemeinde: string (municipality ID, Foreign Key to Gemeinde table)
- bauzone: string (building zone, e.g. W3, WG2)
- az: float (Ausnützungsziffer)
- bz: float (Bebauungsziffer)
- vollgeschossZahl: int (number of allowed full floors)
- gebaeudehoeheMax: float (maximum building height in meters)
- laermschutzzone: string (noise protection zone)
- hochwasserschutzzone: string (flood protection zone)
- grundwasserschutzzone: string (groundwater protection zone)
- parzelleBebaut: JaNein enum (is plot built)
- parzelleErschlossen: JaNein enum (is plot developed)
- parzelleHanglage: JaNein enum (is plot on slope)
**Important relationships:**
- Projekte contain Parzellen (projects have plots)
- Parzelle links to Gemeinde (via kontextGemeinde)
- Gemeinde links to Kanton (via id_kanton)
- Kanton links to Land (via id_land)
- Location queries (city, postal code) should use Parzelle.kontextGemeinde (municipality name will be resolved to ID)
- Projekt does NOT have location fields directly - location is stored in associated Parzellen
Return a JSON object with the following structure:
{
"intent": "CREATE|READ|UPDATE|DELETE|QUERY",
"entity": "Projekt|Parzelle|Dokument|Kanton|Gemeinde|null",
"parameters": {
// Extracted parameters from user input
// For CREATE/UPDATE: include all relevant fields using EXACT field names from above
// For READ: include filter criteria using EXACT field names (id, label, plz, kontextGemeinde, etc.)
// For DELETE: include entity ID if mentioned
// For QUERY: include queryText if SQL is detected
// IMPORTANT: Use only field names that exist in the entity definition above
},
"confidence": 0.0-1.0 // Confidence score for the analysis
}
Examples:
- Input: "Erstelle ein neues Projekt namens 'Hauptstrasse 42'"
Output: {"intent": "CREATE", "entity": "Projekt", "parameters": {"label": "Hauptstrasse 42"}, "confidence": 0.95}
- Input: "Zeige mir alle Projekte"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {}, "confidence": 0.9}
- Input: "Zeige mir Projekte in Zürich" or "Wie viele Projekte in Zürich"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {"location_filter": "Zürich"}, "confidence": 0.9}
Note: For project location queries, use Projekt entity with location_filter parameter
- Input: "Zeige mir Parzellen mit PLZ 8000"
Output: {"intent": "READ", "entity": "Parzelle", "parameters": {"plz": "8000"}, "confidence": 0.95}
- Input: "Aktualisiere Projekt XYZ mit Status 'Planung'"
Output: {"intent": "UPDATE", "entity": "Projekt", "parameters": {"id": "XYZ", "statusProzess": "Planung"}, "confidence": 0.85}
- Input: "SELECT * FROM Projekt WHERE label = 'Test'"
Output: {"intent": "QUERY", "entity": null, "parameters": {"queryText": "SELECT * FROM Projekt WHERE label = 'Test'", "queryType": "sql"}, "confidence": 1.0}
- Input: "Lösche Parzelle ABC"
Output: {"intent": "DELETE", "entity": "Parzelle", "parameters": {"id": "ABC"}, "confidence": 0.9}

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```json
{
"intent": "CREATE",
"entity": "Projekt",
"parameters": {
"location_filter": "Zürich"
},
"confidence": 0.85
}
```
**Explanation:**
- **Intent**: CREATE - The user wants to create a new project ("Erstelle ein neues Projekt")
- **Entity**: Projekt - The entity type is clearly specified
- **Parameters**:
- `location_filter`: "Zürich" - The user mentions "in Zürich" as the location. Since Projekt doesn't have direct location fields (location is stored in associated Parzellen), I'm using `location_filter` to indicate the intended location context. This will need to be handled by creating associated Parzellen with the appropriate `kontextGemeinde` value.
- **Confidence**: 0.85 - High confidence in intent and entity, slightly lower because the location reference for a new project is indirect (projects get location through their parcels) and no project name/label was provided.

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Analyze the following user command and extract the intent, entity, and parameters.
User Command: "wie viele Projekte in zürich gibt es jetzt?"
Available intents:
- CREATE: User wants to create a new entity
- READ: User wants to read/query entities
- UPDATE: User wants to update an existing entity
- DELETE: User wants to delete an entity
- QUERY: User wants to execute a database query (SQL statements)
Available entities and their fields:
**Projekt** (Real estate project):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (project designation/name)
- statusProzess: string enum (Eingang, Analyse, Studie, Planung, Baurechtsverfahren, Umsetzung, Archiv)
- perimeter: GeoPolylinie (geographic boundary, JSONB)
- baulinie: GeoPolylinie (building line, JSONB)
- parzellen: List[Parzelle] (plots belonging to project, JSONB)
- dokumente: List[Dokument] (documents, JSONB)
- kontextInformationen: List[Kontext] (context info, JSONB)
**Parzelle** (Plot/parcel):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (plot designation)
- strasseNr: string (street and house number)
- plz: string (postal code)
- kontextGemeinde: string (municipality ID, Foreign Key to Gemeinde table)
- bauzone: string (building zone, e.g. W3, WG2)
- az: float (Ausnützungsziffer)
- bz: float (Bebauungsziffer)
- vollgeschossZahl: int (number of allowed full floors)
- gebaeudehoeheMax: float (maximum building height in meters)
- laermschutzzone: string (noise protection zone)
- hochwasserschutzzone: string (flood protection zone)
- grundwasserschutzzone: string (groundwater protection zone)
- parzelleBebaut: JaNein enum (is plot built)
- parzelleErschlossen: JaNein enum (is plot developed)
- parzelleHanglage: JaNein enum (is plot on slope)
**Important relationships:**
- Projekte contain Parzellen (projects have plots)
- Parzelle links to Gemeinde (via kontextGemeinde)
- Gemeinde links to Kanton (via id_kanton)
- Kanton links to Land (via id_land)
- Location queries (city, postal code) should use Parzelle.kontextGemeinde (municipality name will be resolved to ID)
- Projekt does NOT have location fields directly - location is stored in associated Parzellen
Return a JSON object with the following structure:
{
"intent": "CREATE|READ|UPDATE|DELETE|QUERY",
"entity": "Projekt|Parzelle|Dokument|Kanton|Gemeinde|null",
"parameters": {
// Extracted parameters from user input
// For CREATE/UPDATE: include all relevant fields using EXACT field names from above
// For READ: include filter criteria using EXACT field names (id, label, plz, kontextGemeinde, etc.)
// For DELETE: include entity ID if mentioned
// For QUERY: include queryText if SQL is detected
// IMPORTANT: Use only field names that exist in the entity definition above
},
"confidence": 0.0-1.0 // Confidence score for the analysis
}
Examples:
- Input: "Erstelle ein neues Projekt namens 'Hauptstrasse 42'"
Output: {"intent": "CREATE", "entity": "Projekt", "parameters": {"label": "Hauptstrasse 42"}, "confidence": 0.95}
- Input: "Zeige mir alle Projekte"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {}, "confidence": 0.9}
- Input: "Zeige mir Projekte in Zürich" or "Wie viele Projekte in Zürich"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {"location_filter": "Zürich"}, "confidence": 0.9}
Note: For project location queries, use Projekt entity with location_filter parameter
- Input: "Zeige mir Parzellen mit PLZ 8000"
Output: {"intent": "READ", "entity": "Parzelle", "parameters": {"plz": "8000"}, "confidence": 0.95}
- Input: "Aktualisiere Projekt XYZ mit Status 'Planung'"
Output: {"intent": "UPDATE", "entity": "Projekt", "parameters": {"id": "XYZ", "statusProzess": "Planung"}, "confidence": 0.85}
- Input: "SELECT * FROM Projekt WHERE label = 'Test'"
Output: {"intent": "QUERY", "entity": null, "parameters": {"queryText": "SELECT * FROM Projekt WHERE label = 'Test'", "queryType": "sql"}, "confidence": 1.0}
- Input: "Lösche Parzelle ABC"
Output: {"intent": "DELETE", "entity": "Parzelle", "parameters": {"id": "ABC"}, "confidence": 0.9}

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```json
{
"intent": "READ",
"entity": "Projekt",
"parameters": {
"location_filter": "zürich"
},
"confidence": 0.9
}
```
**Analysis:**
- **Intent**: READ - The user wants to query/count existing projects ("wie viele Projekte ... gibt es")
- **Entity**: Projekt - The query is about projects ("Projekte")
- **Parameters**:
- `location_filter`: "zürich" - The user is asking about projects in Zürich. Since Projekt doesn't have direct location fields but location is stored in associated Parzellen (via kontextGemeinde), we use the `location_filter` parameter to indicate this geographic filter needs to be resolved through the Parzelle relationship.
- **Confidence**: 0.9 - High confidence. The intent is clear (counting/querying projects), the location is explicitly mentioned, and the temporal indicator "jetzt" (now) suggests current/active projects.

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Analyze the following user command and extract the intent, entity, and parameters.
User Command: "wie viele parzellen in zürich gibt es?"
Available intents:
- CREATE: User wants to create a new entity
- READ: User wants to read/query entities
- UPDATE: User wants to update an existing entity
- DELETE: User wants to delete an entity
- QUERY: User wants to execute a database query (SQL statements)
Available entities and their fields:
**Projekt** (Real estate project):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (project designation/name)
- statusProzess: string enum (Eingang, Analyse, Studie, Planung, Baurechtsverfahren, Umsetzung, Archiv)
- perimeter: GeoPolylinie (geographic boundary, JSONB)
- baulinie: GeoPolylinie (building line, JSONB)
- parzellen: List[Parzelle] (plots belonging to project, JSONB)
- dokumente: List[Dokument] (documents, JSONB)
- kontextInformationen: List[Kontext] (context info, JSONB)
**Parzelle** (Plot/parcel):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (plot designation)
- strasseNr: string (street and house number)
- plz: string (postal code)
- kontextGemeinde: string (municipality ID, Foreign Key to Gemeinde table)
- bauzone: string (building zone, e.g. W3, WG2)
- az: float (Ausnützungsziffer)
- bz: float (Bebauungsziffer)
- vollgeschossZahl: int (number of allowed full floors)
- gebaeudehoeheMax: float (maximum building height in meters)
- laermschutzzone: string (noise protection zone)
- hochwasserschutzzone: string (flood protection zone)
- grundwasserschutzzone: string (groundwater protection zone)
- parzelleBebaut: JaNein enum (is plot built)
- parzelleErschlossen: JaNein enum (is plot developed)
- parzelleHanglage: JaNein enum (is plot on slope)
**Important relationships:**
- Projekte contain Parzellen (projects have plots)
- Parzelle links to Gemeinde (via kontextGemeinde)
- Gemeinde links to Kanton (via id_kanton)
- Kanton links to Land (via id_land)
- Location queries (city, postal code) should use Parzelle.kontextGemeinde (municipality name will be resolved to ID)
- Projekt does NOT have location fields directly - location is stored in associated Parzellen
Return a JSON object with the following structure:
{
"intent": "CREATE|READ|UPDATE|DELETE|QUERY",
"entity": "Projekt|Parzelle|Dokument|Kanton|Gemeinde|null",
"parameters": {
// Extracted parameters from user input
// For CREATE/UPDATE: include all relevant fields using EXACT field names from above
// For READ: include filter criteria using EXACT field names (id, label, plz, kontextGemeinde, etc.)
// For DELETE: include entity ID if mentioned
// For QUERY: include queryText if SQL is detected
// IMPORTANT: Use only field names that exist in the entity definition above
},
"confidence": 0.0-1.0 // Confidence score for the analysis
}
Examples:
- Input: "Erstelle ein neues Projekt namens 'Hauptstrasse 42'"
Output: {"intent": "CREATE", "entity": "Projekt", "parameters": {"label": "Hauptstrasse 42"}, "confidence": 0.95}
- Input: "Zeige mir alle Projekte"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {}, "confidence": 0.9}
- Input: "Zeige mir Projekte in Zürich" or "Wie viele Projekte in Zürich"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {"location_filter": "Zürich"}, "confidence": 0.9}
Note: For project location queries, use Projekt entity with location_filter parameter
- Input: "Zeige mir Parzellen mit PLZ 8000"
Output: {"intent": "READ", "entity": "Parzelle", "parameters": {"plz": "8000"}, "confidence": 0.95}
- Input: "Aktualisiere Projekt XYZ mit Status 'Planung'"
Output: {"intent": "UPDATE", "entity": "Projekt", "parameters": {"id": "XYZ", "statusProzess": "Planung"}, "confidence": 0.85}
- Input: "SELECT * FROM Projekt WHERE label = 'Test'"
Output: {"intent": "QUERY", "entity": null, "parameters": {"queryText": "SELECT * FROM Projekt WHERE label = 'Test'", "queryType": "sql"}, "confidence": 1.0}
- Input: "Lösche Parzelle ABC"
Output: {"intent": "DELETE", "entity": "Parzelle", "parameters": {"id": "ABC"}, "confidence": 0.9}

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```json
{
"intent": "READ",
"entity": "Parzelle",
"parameters": {
"kontextGemeinde": "Zürich"
},
"confidence": 0.9
}
```
**Reasoning:**
- The user is asking "wie viele parzellen in zürich gibt es?" (how many plots are there in Zürich?)
- **Intent**: READ - The user wants to query/read information about existing entities
- **Entity**: Parzelle - The user is specifically asking about "parzellen" (plots/parcels)
- **Parameters**: The location "Zürich" refers to a municipality (Gemeinde). Since Parzelle has the field `kontextGemeinde` which links to the municipality, this is the appropriate field to use for filtering by location
- **Confidence**: 0.9 - High confidence as the intent and entity are clearly stated, though the exact count operation is implicit

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Analyze the following user command and extract the intent, entity, and parameters.
User Command: "wie viele parzellen in zürich gibt es?"
Available intents:
- CREATE: User wants to create a new entity
- READ: User wants to read/query entities
- UPDATE: User wants to update an existing entity
- DELETE: User wants to delete an entity
- QUERY: User wants to execute a database query (SQL statements)
Available entities and their fields:
**Projekt** (Real estate project):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (project designation/name)
- statusProzess: string enum (Eingang, Analyse, Studie, Planung, Baurechtsverfahren, Umsetzung, Archiv)
- perimeter: GeoPolylinie (geographic boundary, JSONB)
- baulinie: GeoPolylinie (building line, JSONB)
- parzellen: List[Parzelle] (plots belonging to project, JSONB)
- dokumente: List[Dokument] (documents, JSONB)
- kontextInformationen: List[Kontext] (context info, JSONB)
**Parzelle** (Plot/parcel):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (plot designation)
- strasseNr: string (street and house number)
- plz: string (postal code)
- kontextGemeinde: string (municipality ID, Foreign Key to Gemeinde table)
- bauzone: string (building zone, e.g. W3, WG2)
- az: float (Ausnützungsziffer)
- bz: float (Bebauungsziffer)
- vollgeschossZahl: int (number of allowed full floors)
- gebaeudehoeheMax: float (maximum building height in meters)
- laermschutzzone: string (noise protection zone)
- hochwasserschutzzone: string (flood protection zone)
- grundwasserschutzzone: string (groundwater protection zone)
- parzelleBebaut: JaNein enum (is plot built)
- parzelleErschlossen: JaNein enum (is plot developed)
- parzelleHanglage: JaNein enum (is plot on slope)
**Important relationships:**
- Projekte contain Parzellen (projects have plots)
- Parzelle links to Gemeinde (via kontextGemeinde)
- Gemeinde links to Kanton (via id_kanton)
- Kanton links to Land (via id_land)
- Location queries (city, postal code) should use Parzelle.kontextGemeinde (municipality name will be resolved to ID)
- Projekt does NOT have location fields directly - location is stored in associated Parzellen
Return a JSON object with the following structure:
{
"intent": "CREATE|READ|UPDATE|DELETE|QUERY",
"entity": "Projekt|Parzelle|Dokument|Kanton|Gemeinde|null",
"parameters": {
// Extracted parameters from user input
// For CREATE/UPDATE: include all relevant fields using EXACT field names from above
// For READ: include filter criteria using EXACT field names (id, label, plz, kontextGemeinde, etc.)
// For DELETE: include entity ID if mentioned
// For QUERY: include queryText if SQL is detected
// IMPORTANT: Use only field names that exist in the entity definition above
},
"confidence": 0.0-1.0 // Confidence score for the analysis
}
Examples:
- Input: "Erstelle ein neues Projekt namens 'Hauptstrasse 42'"
Output: {"intent": "CREATE", "entity": "Projekt", "parameters": {"label": "Hauptstrasse 42"}, "confidence": 0.95}
- Input: "Zeige mir alle Projekte"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {}, "confidence": 0.9}
- Input: "Zeige mir Projekte in Zürich" or "Wie viele Projekte in Zürich"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {"location_filter": "Zürich"}, "confidence": 0.9}
Note: For project location queries, use Projekt entity with location_filter parameter
- Input: "Zeige mir Parzellen mit PLZ 8000"
Output: {"intent": "READ", "entity": "Parzelle", "parameters": {"plz": "8000"}, "confidence": 0.95}
- Input: "Aktualisiere Projekt XYZ mit Status 'Planung'"
Output: {"intent": "UPDATE", "entity": "Projekt", "parameters": {"id": "XYZ", "statusProzess": "Planung"}, "confidence": 0.85}
- Input: "SELECT * FROM Projekt WHERE label = 'Test'"
Output: {"intent": "QUERY", "entity": null, "parameters": {"queryText": "SELECT * FROM Projekt WHERE label = 'Test'", "queryType": "sql"}, "confidence": 1.0}
- Input: "Lösche Parzelle ABC"
Output: {"intent": "DELETE", "entity": "Parzelle", "parameters": {"id": "ABC"}, "confidence": 0.9}

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```json
{
"intent": "READ",
"entity": "Parzelle",
"parameters": {
"kontextGemeinde": "Zürich"
},
"confidence": 0.9
}
```
**Reasoning:**
- The user is asking "wie viele parzellen in zürich gibt es?" (how many plots are there in Zürich?)
- **Intent**: READ - The user wants to query/read information about existing entities
- **Entity**: Parzelle - The user is specifically asking about "parzellen" (plots/parcels)
- **Parameters**: The location "Zürich" refers to a municipality (Gemeinde). Since Parzelle has the field `kontextGemeinde` which links to the municipality, this is the appropriate field to use for filtering by location
- **Confidence**: 0.9 - High confidence as the intent and entity are clearly stated, though the exact count operation is implicit

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Analyze the following user command and extract the intent, entity, and parameters.
User Command: "add a new parzelle with these information into the database: Parzellen-Informationen
Ausgewählte Parzelle
ID:AA1704
Nummer:AA1704
Name:AA1704
EGRID:CH887199917793
IdentND:ZH0200000261
Kanton:ZH
Gemeinde:Zürich
Gemeinde-Code:261
Fläche:6514.99 m²
Zentrum (LV95):2682951.44, 1247622.91
Geoportal:
Link öffnen
Kartenansicht
Zentrum:2682951.44, 1247622.91
Bounds Min:2682914.00, 1247582.00
Bounds Max:2683024.30, 1247667.50"
Available intents:
- CREATE: User wants to create a new entity
- READ: User wants to read/query entities
- UPDATE: User wants to update an existing entity
- DELETE: User wants to delete an entity
- QUERY: User wants to execute a database query (SQL statements)
Available entities and their fields:
**Projekt** (Real estate project):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (project designation/name)
- statusProzess: string enum (Eingang, Analyse, Studie, Planung, Baurechtsverfahren, Umsetzung, Archiv)
- perimeter: GeoPolylinie (geographic boundary, JSONB)
- baulinie: GeoPolylinie (building line, JSONB)
- parzellen: List[Parzelle] (plots belonging to project, JSONB)
- dokumente: List[Dokument] (documents, JSONB)
- kontextInformationen: List[Kontext] (context info, JSONB)
**Parzelle** (Plot/parcel):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (plot designation)
- strasseNr: string (street and house number)
- plz: string (postal code)
- kontextGemeinde: string (municipality ID, Foreign Key to Gemeinde table)
- bauzone: string (building zone, e.g. W3, WG2)
- az: float (Ausnützungsziffer)
- bz: float (Bebauungsziffer)
- vollgeschossZahl: int (number of allowed full floors)
- gebaeudehoeheMax: float (maximum building height in meters)
- laermschutzzone: string (noise protection zone)
- hochwasserschutzzone: string (flood protection zone)
- grundwasserschutzzone: string (groundwater protection zone)
- parzelleBebaut: JaNein enum (is plot built)
- parzelleErschlossen: JaNein enum (is plot developed)
- parzelleHanglage: JaNein enum (is plot on slope)
**Important relationships:**
- Projekte contain Parzellen (projects have plots)
- Parzelle links to Gemeinde (via kontextGemeinde)
- Gemeinde links to Kanton (via id_kanton)
- Kanton links to Land (via id_land)
- Location queries (city, postal code) should use Parzelle.kontextGemeinde (municipality name will be resolved to ID)
- Projekt does NOT have location fields directly - location is stored in associated Parzellen
Return a JSON object with the following structure:
{
"intent": "CREATE|READ|UPDATE|DELETE|QUERY",
"entity": "Projekt|Parzelle|Dokument|Kanton|Gemeinde|null",
"parameters": {
// Extracted parameters from user input
// For CREATE/UPDATE: include all relevant fields using EXACT field names from above
// For READ: include filter criteria using EXACT field names (id, label, plz, kontextGemeinde, etc.)
// For DELETE: include entity ID if mentioned
// For QUERY: include queryText if SQL is detected
// IMPORTANT: Use only field names that exist in the entity definition above
},
"confidence": 0.0-1.0 // Confidence score for the analysis
}
Examples:
- Input: "Erstelle ein neues Projekt namens 'Hauptstrasse 42'"
Output: {"intent": "CREATE", "entity": "Projekt", "parameters": {"label": "Hauptstrasse 42"}, "confidence": 0.95}
- Input: "Zeige mir alle Projekte"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {}, "confidence": 0.9}
- Input: "Zeige mir Projekte in Zürich" or "Wie viele Projekte in Zürich"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {"location_filter": "Zürich"}, "confidence": 0.9}
Note: For project location queries, use Projekt entity with location_filter parameter
- Input: "Zeige mir Parzellen mit PLZ 8000"
Output: {"intent": "READ", "entity": "Parzelle", "parameters": {"plz": "8000"}, "confidence": 0.95}
- Input: "Aktualisiere Projekt XYZ mit Status 'Planung'"
Output: {"intent": "UPDATE", "entity": "Projekt", "parameters": {"id": "XYZ", "statusProzess": "Planung"}, "confidence": 0.85}
- Input: "SELECT * FROM Projekt WHERE label = 'Test'"
Output: {"intent": "QUERY", "entity": null, "parameters": {"queryText": "SELECT * FROM Projekt WHERE label = 'Test'", "queryType": "sql"}, "confidence": 1.0}
- Input: "Lösche Parzelle ABC"
Output: {"intent": "DELETE", "entity": "Parzelle", "parameters": {"id": "ABC"}, "confidence": 0.9}

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```json
{
"intent": "CREATE",
"entity": "Parzelle",
"parameters": {
"id": "AA1704",
"label": "AA1704",
"kontextGemeinde": "Zürich"
},
"confidence": 0.75
}
```
**Analysis:**
The user wants to add a new "Parzelle" (plot/parcel) to the database. The command provides extensive information about the parcel, but only a subset can be mapped to the available fields in the **Parzelle** entity definition:
**Mapped fields:**
- `id`: "AA1704" (from ID/Nummer)
- `label`: "AA1704" (from Name)
- `kontextGemeinde`: "Zürich" (from Gemeinde - will need to be resolved to municipality ID)
**Unmapped information** (not available in the Parzelle entity schema):
- EGRID: CH887199917793
- IdentND: ZH0200000261
- Kanton: ZH
- Gemeinde-Code: 261
- Fläche: 6514.99 m²
- Zentrum coordinates (LV95): 2682951.44, 1247622.91
- Bounds coordinates
**Confidence reasoning:**
The confidence is set to 0.75 because:
- The intent (CREATE) is clear
- The entity (Parzelle) is explicitly mentioned
- However, most of the provided information cannot be stored in the current Parzelle schema
- The user may expect all this data to be stored, but the system can only capture id, label, and kontextGemeinde from the provided information

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Analyze the following user command and extract the intent, entity, and parameters.
User Command: "erstelle einen neuen parzelleneintrag mit diesen informationen: ID:AA4198
Nummer:AA4198
Name:AA4198
EGRID:CH879177719964
IdentND:ZH0200000261
Adresse:Steinmühleplatz 3, 8001 Zürich
Kanton:ZH
Gemeinde:Zürich
Gemeinde-Code:261
Fläche:1972.83 m²
Zentrum (LV95):2682910.35, 1247566.80"
Available intents:
- CREATE: User wants to create a new entity
- READ: User wants to read/query entities
- UPDATE: User wants to update an existing entity
- DELETE: User wants to delete an entity
- QUERY: User wants to execute a database query (SQL statements)
Available entities and their fields:
**Projekt** (Real estate project):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (project designation/name)
- statusProzess: string enum (Eingang, Analyse, Studie, Planung, Baurechtsverfahren, Umsetzung, Archiv)
- perimeter: GeoPolylinie (geographic boundary, JSONB)
- baulinie: GeoPolylinie (building line, JSONB)
- parzellen: List[Parzelle] (plots belonging to project, JSONB)
- dokumente: List[Dokument] (documents, JSONB)
- kontextInformationen: List[Kontext] (context info, JSONB)
**Parzelle** (Plot/parcel):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (plot designation)
- strasseNr: string (street and house number)
- plz: string (postal code)
- kontextGemeinde: string (municipality ID, Foreign Key to Gemeinde table)
- bauzone: string (building zone, e.g. W3, WG2)
- az: float (Ausnützungsziffer)
- bz: float (Bebauungsziffer)
- vollgeschossZahl: int (number of allowed full floors)
- gebaeudehoeheMax: float (maximum building height in meters)
- laermschutzzone: string (noise protection zone)
- hochwasserschutzzone: string (flood protection zone)
- grundwasserschutzzone: string (groundwater protection zone)
- parzelleBebaut: JaNein enum (is plot built)
- parzelleErschlossen: JaNein enum (is plot developed)
- parzelleHanglage: JaNein enum (is plot on slope)
**Important relationships:**
- Projekte contain Parzellen (projects have plots)
- Parzelle links to Gemeinde (via kontextGemeinde)
- Gemeinde links to Kanton (via id_kanton)
- Kanton links to Land (via id_land)
- Location queries (city, postal code) should use Parzelle.kontextGemeinde (municipality name will be resolved to ID)
- Projekt does NOT have location fields directly - location is stored in associated Parzellen
Return a JSON object with the following structure:
{
"intent": "CREATE|READ|UPDATE|DELETE|QUERY",
"entity": "Projekt|Parzelle|Dokument|Kanton|Gemeinde|null",
"parameters": {
// Extracted parameters from user input
// For CREATE/UPDATE: include all relevant fields using EXACT field names from above
// For READ: include filter criteria using EXACT field names (id, label, plz, kontextGemeinde, etc.)
// For DELETE: include entity ID if mentioned
// For QUERY: include queryText if SQL is detected
// IMPORTANT: Use only field names that exist in the entity definition above
},
"confidence": 0.0-1.0 // Confidence score for the analysis
}
Examples:
- Input: "Erstelle ein neues Projekt namens 'Hauptstrasse 42'"
Output: {"intent": "CREATE", "entity": "Projekt", "parameters": {"label": "Hauptstrasse 42"}, "confidence": 0.95}
- Input: "Erstelle eine Parzelle mit Label 123, PLZ 8000, Gemeinde Zürich, Bauzone W3"
Output: {"intent": "CREATE", "entity": "Parzelle", "parameters": {"label": "123", "plz": "8000", "kontextGemeinde": "Zürich", "bauzone": "W3"}, "confidence": 0.95}
- Input: "Parzellen-Informationen: ID:AA1704, Nummer:AA1704, EGRID:CH887199917793, Kanton:ZH, Gemeinde:Zürich, Gemeinde-Code:261, Fläche:6514.99 m², Zentrum:2682951.44,1247622.91"
Output: {
"intent": "CREATE",
"entity": "Parzelle",
"parameters": {
"label": "AA1704",
"parzellenAliasTags": ["AA1704"],
"kontextGemeinde": "Zürich",
"kontextInformationen": [
{"kategorie": "Swiss Topo", "schluessel": "EGRID", "wert": "CH887199917793"},
{"kategorie": "Kanton", "schluessel": "Abkürzung", "wert": "ZH"},
{"kategorie": "Gemeinde", "schluessel": "BFS-Nummer", "wert": "261"},
{"kategorie": "Parzelle", "schluessel": "Fläche", "wert": "6514.99", "einheit": "m²"},
{"kategorie": "Parzelle", "schluessel": "Zentrum_X", "wert": "2682951.44", "crs": "EPSG:2056"},
{"kategorie": "Parzelle", "schluessel": "Zentrum_Y", "wert": "1247622.91", "crs": "EPSG:2056"}
]
},
"confidence": 0.9
}
Note: Extract structured data from detailed input. Use kontextInformationen for metadata like EGRID, coordinates, area, etc.
- Input: "Zeige mir alle Projekte"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {}, "confidence": 0.9}
- Input: "Zeige mir Projekte in Zürich" or "Wie viele Projekte in Zürich"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {"location_filter": "Zürich"}, "confidence": 0.9}
Note: For project location queries, use Projekt entity with location_filter parameter
- Input: "Zeige mir Parzellen mit PLZ 8000"
Output: {"intent": "READ", "entity": "Parzelle", "parameters": {"plz": "8000"}, "confidence": 0.95}
- Input: "Aktualisiere Projekt XYZ mit Status 'Planung'"
Output: {"intent": "UPDATE", "entity": "Projekt", "parameters": {"id": "XYZ", "statusProzess": "Planung"}, "confidence": 0.85}
- Input: "SELECT * FROM Projekt WHERE label = 'Test'"
Output: {"intent": "QUERY", "entity": null, "parameters": {"queryText": "SELECT * FROM Projekt WHERE label = 'Test'", "queryType": "sql"}, "confidence": 1.0}
- Input: "Lösche Parzelle ABC"
Output: {"intent": "DELETE", "entity": "Parzelle", "parameters": {"id": "ABC"}, "confidence": 0.9}
IMPORTANT EXTRACTION RULES:
1. For CREATE operations, extract ALL mentioned data fields from the user input
2. Use kontextInformationen array for metadata that doesn't have dedicated fields (EGRID, BFS numbers, area, coordinates, etc.)
3. Match field names EXACTLY to the entity definition above
4. Convert data types correctly (strings for text, numbers for numeric values)
5. Extract coordinates, areas, and other numeric values from text
6. When multiple values are mentioned for the same concept (ID, Nummer, Name), use the most relevant one for 'label' and put alternatives in parzellenAliasTags

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```json
{
"intent": "CREATE",
"entity": "Parzelle",
"parameters": {
"label": "AA4198",
"strasseNr": "Steinmühleplatz 3",
"plz": "8001",
"kontextGemeinde": "Zürich",
"kontextInformationen": [
{
"kategorie": "Parzelle",
"schluessel": "ID",
"wert": "AA4198"
},
{
"kategorie": "Parzelle",
"schluessel": "Nummer",
"wert": "AA4198"
},
{
"kategorie": "Swiss Topo",
"schluessel": "EGRID",
"wert": "CH879177719964"
},
{
"kategorie": "Parzelle",
"schluessel": "IdentND",
"wert": "ZH0200000261"
},
{
"kategorie": "Kanton",
"schluessel": "Abkürzung",
"wert": "ZH"
},
{
"kategorie": "Gemeinde",
"schluessel": "BFS-Nummer",
"wert": "261"
},
{
"kategorie": "Parzelle",
"schluessel": "Fläche",
"wert": "1972.83",
"einheit": "m²"
},
{
"kategorie": "Parzelle",
"schluessel": "Zentrum_X",
"wert": "2682910.35",
"crs": "EPSG:2056"
},
{
"kategorie": "Parzelle",
"schluessel": "Zentrum_Y",
"wert": "1247566.80",
"crs": "EPSG:2056"
}
]
},
"confidence": 0.95
}
```

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Analyze the following user command and extract the intent, entity, and parameters.
User Command: "erstelle einen neuen parzelleneintrag mit diesen informationen: ID:AA4198
Nummer:AA4198
Name:AA4198
EGRID:CH879177719964
IdentND:ZH0200000261
Adresse:Steinmühleplatz 3, 8001 Zürich
Kanton:ZH
Gemeinde:Zürich
Gemeinde-Code:261
Fläche:1972.83 m²
Zentrum (LV95):2682910.35, 1247566.80"
Available intents:
- CREATE: User wants to create a new entity
- READ: User wants to read/query entities
- UPDATE: User wants to update an existing entity
- DELETE: User wants to delete an entity
- QUERY: User wants to execute a database query (SQL statements)
Available entities and their fields:
**Projekt** (Real estate project):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (project designation/name)
- statusProzess: string enum (Eingang, Analyse, Studie, Planung, Baurechtsverfahren, Umsetzung, Archiv)
- perimeter: GeoPolylinie (geographic boundary, JSONB)
- baulinie: GeoPolylinie (building line, JSONB)
- parzellen: List[Parzelle] (plots belonging to project, JSONB)
- dokumente: List[Dokument] (documents, JSONB)
- kontextInformationen: List[Kontext] (context info, JSONB)
**Parzelle** (Plot/parcel):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (plot designation)
- strasseNr: string (street and house number)
- plz: string (postal code)
- kontextGemeinde: string (municipality ID, Foreign Key to Gemeinde table)
- bauzone: string (building zone, e.g. W3, WG2)
- az: float (Ausnützungsziffer)
- bz: float (Bebauungsziffer)
- vollgeschossZahl: int (number of allowed full floors)
- gebaeudehoeheMax: float (maximum building height in meters)
- laermschutzzone: string (noise protection zone)
- hochwasserschutzzone: string (flood protection zone)
- grundwasserschutzzone: string (groundwater protection zone)
- parzelleBebaut: JaNein enum (is plot built)
- parzelleErschlossen: JaNein enum (is plot developed)
- parzelleHanglage: JaNein enum (is plot on slope)
**Important relationships:**
- Projekte contain Parzellen (projects have plots)
- Parzelle links to Gemeinde (via kontextGemeinde)
- Gemeinde links to Kanton (via id_kanton)
- Kanton links to Land (via id_land)
- Location queries (city, postal code) should use Parzelle.kontextGemeinde (municipality name will be resolved to ID)
- Projekt does NOT have location fields directly - location is stored in associated Parzellen
Return a JSON object with the following structure:
{
"intent": "CREATE|READ|UPDATE|DELETE|QUERY",
"entity": "Projekt|Parzelle|Dokument|Kanton|Gemeinde|null",
"parameters": {
// Extracted parameters from user input
// For CREATE/UPDATE: include all relevant fields using EXACT field names from above
// For READ: include filter criteria using EXACT field names (id, label, plz, kontextGemeinde, etc.)
// For DELETE: include entity ID if mentioned
// For QUERY: include queryText if SQL is detected
// IMPORTANT: Use only field names that exist in the entity definition above
},
"confidence": 0.0-1.0 // Confidence score for the analysis
}
Examples:
- Input: "Erstelle ein neues Projekt namens 'Hauptstrasse 42'"
Output: {"intent": "CREATE", "entity": "Projekt", "parameters": {"label": "Hauptstrasse 42"}, "confidence": 0.95}
- Input: "Erstelle eine Parzelle mit Label 123, PLZ 8000, Gemeinde Zürich, Bauzone W3"
Output: {"intent": "CREATE", "entity": "Parzelle", "parameters": {"label": "123", "plz": "8000", "kontextGemeinde": "Zürich", "bauzone": "W3"}, "confidence": 0.95}
- Input: "Parzellen-Informationen: ID:AA1704, Nummer:AA1704, EGRID:CH887199917793, Kanton:ZH, Gemeinde:Zürich, Gemeinde-Code:261, Fläche:6514.99 m², Zentrum:2682951.44,1247622.91"
Output: {
"intent": "CREATE",
"entity": "Parzelle",
"parameters": {
"label": "AA1704",
"parzellenAliasTags": ["AA1704"],
"kontextGemeinde": "Zürich",
"kontextInformationen": [
{"kategorie": "Swiss Topo", "schluessel": "EGRID", "wert": "CH887199917793"},
{"kategorie": "Kanton", "schluessel": "Abkürzung", "wert": "ZH"},
{"kategorie": "Gemeinde", "schluessel": "BFS-Nummer", "wert": "261"},
{"kategorie": "Parzelle", "schluessel": "Fläche", "wert": "6514.99", "einheit": "m²"},
{"kategorie": "Parzelle", "schluessel": "Zentrum_X", "wert": "2682951.44", "crs": "EPSG:2056"},
{"kategorie": "Parzelle", "schluessel": "Zentrum_Y", "wert": "1247622.91", "crs": "EPSG:2056"}
]
},
"confidence": 0.9
}
Note: Extract structured data from detailed input. Use kontextInformationen for metadata like EGRID, coordinates, area, etc.
- Input: "Zeige mir alle Projekte"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {}, "confidence": 0.9}
- Input: "Zeige mir Projekte in Zürich" or "Wie viele Projekte in Zürich"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {"location_filter": "Zürich"}, "confidence": 0.9}
Note: For project location queries, use Projekt entity with location_filter parameter
- Input: "Zeige mir Parzellen mit PLZ 8000"
Output: {"intent": "READ", "entity": "Parzelle", "parameters": {"plz": "8000"}, "confidence": 0.95}
- Input: "Aktualisiere Projekt XYZ mit Status 'Planung'"
Output: {"intent": "UPDATE", "entity": "Projekt", "parameters": {"id": "XYZ", "statusProzess": "Planung"}, "confidence": 0.85}
- Input: "SELECT * FROM Projekt WHERE label = 'Test'"
Output: {"intent": "QUERY", "entity": null, "parameters": {"queryText": "SELECT * FROM Projekt WHERE label = 'Test'", "queryType": "sql"}, "confidence": 1.0}
- Input: "Lösche Parzelle ABC"
Output: {"intent": "DELETE", "entity": "Parzelle", "parameters": {"id": "ABC"}, "confidence": 0.9}
IMPORTANT EXTRACTION RULES:
1. For CREATE operations, extract ALL mentioned data fields from the user input
2. Use kontextInformationen array for metadata that doesn't have dedicated fields (EGRID, BFS numbers, area, coordinates, etc.)
3. Match field names EXACTLY to the entity definition above
4. Convert data types correctly (strings for text, numbers for numeric values)
5. Extract coordinates, areas, and other numeric values from text
6. When multiple values are mentioned for the same concept (ID, Nummer, Name), use the most relevant one for 'label' and put alternatives in parzellenAliasTags

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```json
{
"intent": "CREATE",
"entity": "Parzelle",
"parameters": {
"label": "AA4198",
"strasseNr": "Steinmühleplatz 3",
"plz": "8001",
"kontextGemeinde": "Zürich",
"kontextInformationen": [
{
"kategorie": "Parzelle",
"schluessel": "ID",
"wert": "AA4198"
},
{
"kategorie": "Parzelle",
"schluessel": "Nummer",
"wert": "AA4198"
},
{
"kategorie": "Swiss Topo",
"schluessel": "EGRID",
"wert": "CH879177719964"
},
{
"kategorie": "Parzelle",
"schluessel": "IdentND",
"wert": "ZH0200000261"
},
{
"kategorie": "Kanton",
"schluessel": "Abkürzung",
"wert": "ZH"
},
{
"kategorie": "Gemeinde",
"schluessel": "BFS-Nummer",
"wert": "261"
},
{
"kategorie": "Parzelle",
"schluessel": "Fläche",
"wert": "1972.83",
"einheit": "m²"
},
{
"kategorie": "Parzelle",
"schluessel": "Zentrum_X",
"wert": "2682910.35",
"crs": "EPSG:2056"
},
{
"kategorie": "Parzelle",
"schluessel": "Zentrum_Y",
"wert": "1247566.80",
"crs": "EPSG:2056"
}
]
},
"confidence": 0.95
}
```

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Analyze the following user command and extract the intent, entity, and parameters.
User Command: "erstelle einen neuen parzelleneintrag mit diesen informationen: ID:AA4198
Nummer:AA4198
Name:AA4198
EGRID:CH879177719964
IdentND:ZH0200000261
Adresse:Steinmühleplatz 3, 8001 Zürich
Kanton:ZH
Gemeinde:Zürich
Gemeinde-Code:261
Fläche:1972.83 m²
Zentrum (LV95):2682910.35, 1247566.80"
Available intents:
- CREATE: User wants to create a new entity
- READ: User wants to read/query entities
- UPDATE: User wants to update an existing entity
- DELETE: User wants to delete an entity
- QUERY: User wants to execute a database query (SQL statements)
Available entities and their fields:
**Projekt** (Real estate project):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (project designation/name)
- statusProzess: string enum (Eingang, Analyse, Studie, Planung, Baurechtsverfahren, Umsetzung, Archiv)
- perimeter: GeoPolylinie (geographic boundary, JSONB)
- baulinie: GeoPolylinie (building line, JSONB)
- parzellen: List[Parzelle] (plots belonging to project, JSONB)
- dokumente: List[Dokument] (documents, JSONB)
- kontextInformationen: List[Kontext] (context info, JSONB)
**Parzelle** (Plot/parcel):
- id: string (primary key)
- mandateId: string (mandate ID)
- label: string (plot designation)
- strasseNr: string (street and house number)
- plz: string (postal code)
- kontextGemeinde: string (municipality ID, Foreign Key to Gemeinde table)
- bauzone: string (building zone, e.g. W3, WG2)
- az: float (Ausnützungsziffer)
- bz: float (Bebauungsziffer)
- vollgeschossZahl: int (number of allowed full floors)
- gebaeudehoeheMax: float (maximum building height in meters)
- laermschutzzone: string (noise protection zone)
- hochwasserschutzzone: string (flood protection zone)
- grundwasserschutzzone: string (groundwater protection zone)
- parzelleBebaut: JaNein enum (is plot built)
- parzelleErschlossen: JaNein enum (is plot developed)
- parzelleHanglage: JaNein enum (is plot on slope)
- kontextInformationen: List[Kontext] (metadata - each item has 'thema' and 'inhalt' fields only)
**Kontext** (Context information for metadata):
- thema: string (topic/subject, e.g. "EGRID", "Fläche", "Zentrum")
- inhalt: string (content as text, e.g. "CH887199917793", "6514.99 m²", "X: 123, Y: 456")
**Important relationships:**
- Projekte contain Parzellen (projects have plots)
- Parzelle links to Gemeinde (via kontextGemeinde)
- Gemeinde links to Kanton (via id_kanton)
- Kanton links to Land (via id_land)
- Location queries (city, postal code) should use Parzelle.kontextGemeinde (municipality name will be resolved to ID)
- Projekt does NOT have location fields directly - location is stored in associated Parzellen
Return a JSON object with the following structure:
{
"intent": "CREATE|READ|UPDATE|DELETE|QUERY",
"entity": "Projekt|Parzelle|Dokument|Kanton|Gemeinde|null",
"parameters": {
// Extracted parameters from user input
// For CREATE/UPDATE: include all relevant fields using EXACT field names from above
// For READ: include filter criteria using EXACT field names (id, label, plz, kontextGemeinde, etc.)
// For DELETE: include entity ID if mentioned
// For QUERY: include queryText if SQL is detected
// IMPORTANT: Use only field names that exist in the entity definition above
},
"confidence": 0.0-1.0 // Confidence score for the analysis
}
Examples:
- Input: "Erstelle ein neues Projekt namens 'Hauptstrasse 42'"
Output: {"intent": "CREATE", "entity": "Projekt", "parameters": {"label": "Hauptstrasse 42"}, "confidence": 0.95}
- Input: "Erstelle eine Parzelle mit Label 123, PLZ 8000, Gemeinde Zürich, Bauzone W3"
Output: {"intent": "CREATE", "entity": "Parzelle", "parameters": {"label": "123", "plz": "8000", "kontextGemeinde": "Zürich", "bauzone": "W3"}, "confidence": 0.95}
- Input: "Parzellen-Informationen: ID:AA1704, Nummer:AA1704, EGRID:CH887199917793, Kanton:ZH, Gemeinde:Zürich, Gemeinde-Code:261, Fläche:6514.99 m², Zentrum:2682951.44,1247622.91"
Output: {
"intent": "CREATE",
"entity": "Parzelle",
"parameters": {
"label": "AA1704",
"parzellenAliasTags": ["AA1704"],
"kontextGemeinde": "Zürich",
"kontextInformationen": [
{"thema": "EGRID", "inhalt": "CH887199917793"},
{"thema": "Kanton", "inhalt": "ZH"},
{"thema": "BFS-Nummer", "inhalt": "261"},
{"thema": "Fläche", "inhalt": "6514.99 m²"},
{"thema": "Zentrum (LV95)", "inhalt": "X: 2682951.44 m, Y: 1247622.91 m (EPSG:2056)"}
]
},
"confidence": 0.9
}
Note: Extract structured data from detailed input. Use kontextInformationen for metadata. Each item has 'thema' (topic) and 'inhalt' (content as text).
- Input: "Zeige mir alle Projekte"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {}, "confidence": 0.9}
- Input: "Zeige mir Projekte in Zürich" or "Wie viele Projekte in Zürich"
Output: {"intent": "READ", "entity": "Projekt", "parameters": {"location_filter": "Zürich"}, "confidence": 0.9}
Note: For project location queries, use Projekt entity with location_filter parameter
- Input: "Zeige mir Parzellen mit PLZ 8000"
Output: {"intent": "READ", "entity": "Parzelle", "parameters": {"plz": "8000"}, "confidence": 0.95}
- Input: "Aktualisiere Projekt XYZ mit Status 'Planung'"
Output: {"intent": "UPDATE", "entity": "Projekt", "parameters": {"id": "XYZ", "statusProzess": "Planung"}, "confidence": 0.85}
- Input: "SELECT * FROM Projekt WHERE label = 'Test'"
Output: {"intent": "QUERY", "entity": null, "parameters": {"queryText": "SELECT * FROM Projekt WHERE label = 'Test'", "queryType": "sql"}, "confidence": 1.0}
- Input: "Lösche Parzelle ABC"
Output: {"intent": "DELETE", "entity": "Parzelle", "parameters": {"id": "ABC"}, "confidence": 0.9}
IMPORTANT EXTRACTION RULES:
1. For CREATE operations, extract ALL mentioned data fields from the user input
2. Use kontextInformationen array for metadata that doesn't have dedicated fields (EGRID, BFS numbers, area, coordinates, etc.)
3. Each kontextInformationen item MUST have exactly two fields: 'thema' (topic/subject) and 'inhalt' (content as text string)
4. Format kontextInformationen values as readable text strings, including units (e.g., "6514.99 m²", "X: 123, Y: 456")
5. Match field names EXACTLY to the entity definition above
6. Convert data types correctly (strings for text, numbers for numeric values)
7. Extract coordinates, areas, and other numeric values from text
8. When multiple values are mentioned for the same concept (ID, Nummer, Name), use the most relevant one for 'label' and put alternatives in parzellenAliasTags

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```json
{
"intent": "CREATE",
"entity": "Parzelle",
"parameters": {
"label": "AA4198",
"strasseNr": "Steinmühleplatz 3",
"plz": "8001",
"kontextGemeinde": "Zürich",
"kontextInformationen": [
{
"thema": "ID",
"inhalt": "AA4198"
},
{
"thema": "Nummer",
"inhalt": "AA4198"
},
{
"thema": "EGRID",
"inhalt": "CH879177719964"
},
{
"thema": "IdentND",
"inhalt": "ZH0200000261"
},
{
"thema": "Kanton",
"inhalt": "ZH"
},
{
"thema": "BFS-Nummer",
"inhalt": "261"
},
{
"thema": "Fläche",
"inhalt": "1972.83 m²"
},
{
"thema": "Zentrum (LV95)",
"inhalt": "X: 2682910.35 m, Y: 1247566.80 m (EPSG:2056)"
}
]
},
"confidence": 0.95
}
```