Input path: /home/debian/html/nutritwin/output_llm/66800aa94d0b5/input.json Output path: /home/debian/html/nutritwin/output_llm/66800aa94d0b5/output.json Input text: Collation un yaourt nature aux fruits rouges DB path: __deriveddata__/DerivedObjects/Data/KcalMeDB_fr.sl3 Picto path: __deriveddata__/DerivedObjects/Data/PictoMatcherNetNG_fr.json Sport grounding path: __deriveddata__/DerivedObjects/Data/DerivedSportMET.json ================================================================================================================================== Prompt from user: Collation un yaourt nature aux fruits rouges ================================================================================================================================== ==================================== Prompt ============================================= Identify in this list of intents: ["Identify food consumption or declaration", "Identify the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###Collation un yaourt nature aux fruits rouges###. Format the result in JSON format: {intents: []}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- ```json { "intents": ["Identify food consumption or declaration"] } ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json { "intents": ["Identify food consumption or declaration"] } ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ { "intents": ["Identify food consumption or declaration"]} ---------------------------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """Collation un yaourt nature aux fruits rouges""" into an array in JSON of consumed foods and beverages. Provide a solution without explanation. Use only the ontology described in this Turtle/RDF model: """ @prefix food: . @prefix rdfs: . @prefix xsd: . @prefix owl: . @prefix prov: . food: a owl:Ontology ; rdfs:comment "Definition of the food archetype"@en . food:name a owl:DatatypeProperty; rdfs:label "name"@en; rdfs:comment "Food or drink identifier, the name should not contain information related to quantity or container (like glass...). The cooking mode is not in the name. When the brand is very well-known (ex: Activia, Coca-Cola), the name is equal to the brand. Keep the same language"@en; rdfs:range xsd:string. food:quantity a owl:DatatypeProperty ; rdfs:label "quantity"@en; rdfs:comment "The quantity of food or drink that is or was consumed. Quantity examples in french: 'un quignon', 'un cornet', 'un verre', 'une tranche', 'une boule', 'un', 'deux', 'trois',... Keep the same language."@en; rdfs:range xsd:string. food:cookingMethod a owl:DatatypeProperty ; rdfs:label "cooking method"@en; rdfs:comment "The cooking method of food. Keep the same language"@en; rdfs:range xsd:string. food:type a owl:DatatypeProperty ; rdfs:label "type of food"@en; rdfs:comment "Identify the type of food."@en; rdfs:range xsd:string. food:food a food:type ; rdfs:label "food" . food:beverage a food:type ; rdfs:label "beverage" . food:timeOfTheDay a owl:DatatypeProperty ; rdfs:label "time of the day"@en; rdfs:comment "Time of the day when food or drink was consumed."@en; rdfs:range xsd:string. food:breakfast a food:timeOfTheDay ; rdfs:label "breakfast" . food:lunch a food:timeOfTheDay ; rdfs:label "lunch" . food:snacking a food:timeOfTheDay ; rdfs:label "snacking" . food:dinner a food:timeOfTheDay ; rdfs:label "dinner" . food:brand a owl:DatatypeProperty ; rdfs:label "Brand"@en; rdfs:comment "Food or beverage brand. The restaurants are not brand. When the 'brand' is not specified and, the food or beverage is very well-known (like 'Coca-Cola'), provide the brand name in 'brand', otherwise set 'brand' to ''."@en; rdfs:range xsd:string. food:company a owl:DatatypeProperty ; rdfs:label "Company"@en; rdfs:comment "Product company."@en; rdfs:range xsd:string. food:enumEvent a rdfs:Class . food:event a owl:DatatypeProperty ; rdfs:label "event"@en; rdfs:comment "Event of eating or drinking. Each must have an event"@en; rdfs:range food:enumEvent. food:intent a food:enumEvent ; rdfs:label "intent" . rdfs:comment "When the event should happen"@en. food:declaration a food:enumEvent ; rdfs:label "declaration" . rdfs:comment "When the event has already occured"@en. food:unknownEvent a food:enumEvent ; rdfs:label "unknown" ; rdfs:comment "When the event is unknown in the day"@en. """ ========================================================================================= ------------------------------ LLM Raw response ----------------------------- ```json [ { "name": "yaourt nature", "type": "food", "time of the day": "snacking", "event": "declaration" }, { "name": "fruits rouges", "type": "food", "time of the day": "snacking", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "yaourt nature", "type": "food", "time of the day": "snacking", "event": "declaration" }, { "name": "fruits rouges", "type": "food", "time of the day": "snacking", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "yaourt nature", "type": "food", "time of the day": "snacking", "event": "declaration" }, { "name": "fruits rouges", "type": "food", "time of the day": "snacking", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'yaourt nature', 'type': 'food', 'time of the day': 'snacking', 'event': 'declaration'}, {'name': 'fruits rouges', 'type': 'food', 'time of the day': 'snacking', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'yaourt nature', 'type': 'food', 'time of the day': 'snacking', 'event': 'declaration'} First try: SELECT V_Name,V_Comment,V_NormName,V_NormComment,V_PackType,V_GTIN,V_GTINRef,V_ID,V_GlobalCount,V_NormTrademark,V_Trademark,V_NormAggr FROM KCALME_TABLE WHERE V_NormName LIKE '% yaourt nature %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Yaourt Nature - yaourt nature - yaourt nature - - 0 - - - KCA#1bb387dba0faa825bf1b41958b69f8b8 Yaourt Nature Étuvé - yaourt nature etuve - nature étuvé - - 0 - - - KCA#fd4ce55781f889e0e76135284e824916 Yaourt Nature Sucré - yaourt nature sucre - nature sucré - - 0 - - - KCA#04a07931e0bb88a2fa79ac588ff372a1 Yaourt Nature Sucré Canne - yaourt nature sucre canne - sucré canne - - 0 - - - KCA#d4d5ace21d166e38b4293d4e7494b03b ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'fruits rouges', 'type': 'food', 'time of the day': 'snacking', 'event': 'declaration'} First try: SELECT V_Name,V_Comment,V_NormName,V_NormComment,V_PackType,V_GTIN,V_GTINRef,V_ID,V_GlobalCount,V_NormTrademark,V_Trademark,V_NormAggr FROM KCALME_TABLE WHERE V_NormName LIKE '% fruit rouge %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Jus de Fruits Rouges - ju de fruit rouge - - - 135 - - - KCA#732fc7fd28e11043b1a39cd2ff0251e7 Muffins aux Fruits Rouges - muffin au fruit rouge - - - 36 - - - KCA#69a844f189fd38ddfaf60cc9403a9548 Tourtes aux Fruits Rouges et à la Rhubarbe - tourte au fruit rouge rhubarbe - la rhubarbe - - 0 - - - KCA#52629cc67ad71e1f5b17cc317f803177 Pain Brioché aux Fruits Rouges - pain brioche au fruit rouge - - - 179 - - - KCA#2826be87badb29c92d92822e8b6ab2da ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': 'Collation un yaourt nature aux fruits rouges', 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Yaourt Nature', 'normName': ' yaourt nature ', 'comment': 'yaourt nature', 'normComment': ' yaourt nature ', 'rank': 0, 'id': 'KCA#1bb387dba0faa825bf1b41958b69f8b8', 'quantity': '', 'quantityLem': '', 'pack': ['YA2.w125'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Jus de Fruits Rouges', 'normName': ' ju de fruit rouge ', 'comment': '', 'normComment': '', 'rank': 135, 'id': 'KCA#732fc7fd28e11043b1a39cd2ff0251e7', 'quantity': '', 'quantityLem': '', 'pack': ['VA4', 'VA3', 'VA2', 'VX1', 'GOB', 'LDK'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 6}], 'activity': [], 'response': {}}, 'cputime': 2.3006772994995117} ---------------------------------------------------------------------------------- LLM CPU Time: 2.3006772994995117