Input path: /home/debian/html/nutritwin/output_llm/677454fc0b053/input.json Output path: /home/debian/html/nutritwin/output_llm/677454fc0b053/output.json Input text: Ce soir j'ai bu trois coupes de champagne et je suis allé courir une demi-heure dans le parc d'à côté. 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: Ce soir j'ai bu trois coupes de champagne et je suis allé courir une demi-heure dans le parc d'à côté. ================================================================================================================================== ==================================== Prompt ============================================= Identify in this list of intents: ["Identify food and beverage consumption or declaration", "Identify the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###Ce soir j'ai bu trois coupes de champagne et je suis allé courir une demi-heure dans le parc d'à côté.###. Format the result in JSON format: {"intents": []}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- {"intents": ["Identify food and beverage consumption or declaration", "Identify the user physical activity"]} ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ {"intents": ["Identify food and beverage consumption or declaration", "Identify the user physical activity"]} ------------------------------------------------------ ERROR: wrong object representation: {'intents': ['Identify food and beverage consumption or declaration', 'Identify the user physical activity']} ------------------------ After simplification ------------------------ { "intents": [ "Identify food and beverage consumption or declaration", "Identify the user physical activity" ] } ---------------------------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """Ce soir j'ai bu trois coupes de champagne et je suis allé courir une demi-heure dans le parc d'à côté.""" into an array of JSON. Ignore what it is not connected to nutrition, beverage or food. Provide a solution without explanation. Use the following ontology and only this 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 beverage identifier, the name should not contain information related to quantity or container (like glass...). Ignore food or beverage when it is not consumed in the past, now or in the future. The cooking mode is not in the name. The name is only in french."""@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 is only in french. Here are examples: '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. The cooking method is in french."@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 name is very known (ex: Activia, Coca) and the brand is not mentioned, guess the brand."""@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. 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. """ Here is an example of result: [ { "name": "blanquette de veau", "quantity": "un plat", "cookingMethod": "mijot\u00e9", "timeOfTheDay": "lunch", "company": "Leclerc", "type": "food", "event": "declaration" }, { "name": "eau", "brand": "Evian", "company": "Danone", "timeOfTheDay": "breakfast", "quantity": "un verre", "type": "beverage", "event": "intent" } ] ========================================================================================= ------------------------------ LLM Raw response ----------------------------- [ { "name": "coupes de champagne", "quantity": "trois", "timeOfTheDay": "dinner", "type": "beverage", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "coupes de champagne", "quantity": "trois", "timeOfTheDay": "dinner", "type": "beverage", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "coupes de champagne", "quantity": "trois", "timeOfTheDay": "dinner", "type": "beverage", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'coupes de champagne', 'quantity': 'trois', 'timeOfTheDay': 'dinner', 'type': 'beverage', 'event': 'declaration'}], 'cost': 0.09989999999999999} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'coupes de champagne', 'quantity': 'trois', 'timeOfTheDay': 'dinner', 'type': 'beverage', '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 '% coupe de champagne %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1101 seconds Word: 4 Coupes au Marc de Champagne Boîte de 480 Millilitres - dist: 0.590600848197937 - row: 36075 Word: Champagne - dist: 0.6188347339630127 - row: 3641 Word: Coupelles en Chocolat - dist: 0.6637858152389526 - row: 14085 Word: Coupelles d'Ananas - dist: 0.6700533032417297 - row: 47050 Word: 6 Mini Coupes de la Mer - dist: 0.670646071434021 - row: 37567 Found embedding word: 4 Coupes au Marc de Champagne Boîte de 480 Millilitres Second try (embedded): 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_Name = '4 Coupes au Marc de Champagne Boîte de 480 Millilitres' ------------- Found solution (max 20) -------------- 4 Coupes au Marc de Champagne Boîte de 480 Millilitres - coupe marc de champagne boite de 480 millilitre - - Picard - 0 - 3270160356959 - 3270160356959 - OFF#b3ec93c49e3130b93ee910606d45ee56 ---------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """Ce soir j'ai bu trois coupes de champagne et je suis allé courir une demi-heure dans le parc d'à côté.""" into an array of JSON of sport or physical activities. Provide a solution in JSON without explanation. Use only the ontology described in this Turtle/RDF model: """ @prefix activity: . @prefix rdfs: . @prefix xsd: . @prefix owl: . @prefix prov: . activity: a owl:Ontology ; rdfs:comment "Definition of the sport and physical activity archetype"@en . activity:name a owl:DatatypeProperty; rdfs:label "name"@en; rdfs:comment "Sport or physical activity identifier, the name should not contain information related to duration.It is mandatory. Ignore the negative action. Keep the same language"@en; rdfs:range xsd:string. activity:duration a owl:DatatypeProperty ; rdfs:label "duration"@en; rdfs:comment "t is the time spent to practise the activity or the sport. This duration must be in minute. If the duration is unknown, set duration to 0. A full day of activity is equivalent to a duration of 8 hours. A half day of activity is equivalent to a duration of 4 hours."@en; rdfs:range xsd:integer. # Define the enumeration class activity:EnumActivity a rdfs:Class . activity:BasketBall a activity:EnumActivity ; rdfs:label "Basket-ball"@fr . activity:Cyclisme a activity:EnumActivity ; rdfs:label "Cyclisme"@fr . activity:Boxe a activity:EnumActivity ; rdfs:label "Boxe"@fr . activity:Danse a activity:EnumActivity ; rdfs:label "Danse"@fr . activity:Zumba a activity:EnumActivity ; rdfs:label "Zumba"@fr . activity:PlongeeSousMarine a activity:EnumActivity ; rdfs:label "Plongée sous-marine"@fr . activity:Escrime a activity:EnumActivity ; rdfs:label "Escrime"@fr . activity:Football a activity:EnumActivity ; rdfs:label "Football"@fr . activity:Jardinage a activity:EnumActivity ; rdfs:label "Jardinage"@fr . activity:Golf a activity:EnumActivity ; rdfs:label "Golf"@fr . activity:Gymnastique a activity:EnumActivity ; rdfs:label "Gymnastique"@fr . activity:Judo a activity:EnumActivity ; rdfs:label "Judo"@fr . activity:Karate a activity:EnumActivity ; rdfs:label "Karaté"@fr . activity:CordeASauter a activity:EnumActivity ; rdfs:label "Corde à sauter"@fr . activity:RameurDAppartement a activity:EnumActivity ; rdfs:label "Rameur d'appartement"@fr . activity:CourseAPied a activity:EnumActivity ; rdfs:label "Course à pied"@fr . activity:FaireLAmour a activity:EnumActivity ; rdfs:label "Faire l'amour"@fr . activity:SkiDeDescente a activity:EnumActivity ; rdfs:label "Ski de descente"@fr . activity:Natation a activity:EnumActivity ; rdfs:label "Natation"@fr . activity:Tennis a activity:EnumActivity ; rdfs:label "Tennis"@fr . activity:TapisDeCourse a activity:EnumActivity ; rdfs:label "Tapis de course"@fr . activity:SkiDeFond a activity:EnumActivity ; rdfs:label "Ski de fond"@fr . activity:VeloDAppartement a activity:EnumActivity ; rdfs:label "Vélo d'appartement"@fr . activity:Aquabiking a activity:EnumActivity ; rdfs:label "Aquabiking"@fr . activity:VeloElliptique a activity:EnumActivity ; rdfs:label "Vélo elliptique"@fr . activity:Equitation a activity:EnumActivity ; rdfs:label "Equitation"@fr . activity:Escalade a activity:EnumActivity ; rdfs:label "Escalade"@fr . activity:PatinsEnLigne a activity:EnumActivity ; rdfs:label "Patins en ligne"@fr . activity:TennisDeTable a activity:EnumActivity ; rdfs:label "Tennis de table"@fr . activity:Marche a activity:EnumActivity ; rdfs:label "Marche"@fr . activity:MarcheAvecUnChien a activity:EnumActivity ; rdfs:label "Marche avec un chien"@fr . activity:TachesMenageres a activity:EnumActivity ; rdfs:label "Tâches ménagères"@fr . activity:MarcheNordique a activity:EnumActivity ; rdfs:label "Marche nordique"@fr . activity:event a owl:DatatypeProperty ; rdfs:label "event"@en; rdfs:comment "Event of eating or drinking. Each must have an event"@en; rdfs:range xsd:string. activity:intent a activity:event ; rdfs:label "intent"@en ; rdfs:comment "When the event should happen"@en. activity:declaration a activity:event ; rdfs:label "declaration"@en ; rdfs:comment "When the event has already occured"@en. activity:unknownEvent a activity:event ; rdfs:label "unknown"@en ; rdfs:comment "When the event is unknown in the day, it is the default value"@en. activity:enumIntensity a rdfs:Class . activity:intensity a owl:DatatypeProperty ; rdfs:label "intensity"@en; rdfs:comment "Sport or activity intensity"@en; rdfs:range activity:enumIntensity . activity:lowLevel a activity:enumIntensity ; rdfs:label "low"@en ; rdfs:comment "When the activity intensity is low"@en. activity:moderateLevel a activity:enumIntensity ; rdfs:label "moderate"@en ; rdfs:comment "When the activity intensity is moderate"@en. activity:highLevel a activity:enumIntensity ; rdfs:label "high"@en ; rdfs:comment "When the activity intensity is high"@en. activity:intenseLevel a activity:enumIntensity ; rdfs:label "intense"@en ; rdfs:comment "When the activity intensity is intense"@en. activity:veryIntenseLevel a activity:enumIntensity ; rdfs:label "very intense"@en ; rdfs:comment "When the activity intensity is very intense or like a daredevil or like a madman or I sweat a lot"@en. activity:unknownLevel a activity:enumIntensity ; rdfs:label "unknown"@en ; rdfs:comment "When the activity intensity is unknown, it is the default value"@en. """ Here is an example of result: [ { "name": "Cyclisme", "duration": 30, "event": "declaration", "intensity": "unknown" }, { "name": "Marche", "duration": 60, "event": "declaration", "intensity": "high" } ] ========================================================================================= ------------------------------ LLM Raw response ----------------------------- [ { "name": "Course à pied", "duration": 30, "event": "declaration", "intensity": "unknown" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "Course à pied", "duration": 30, "event": "declaration", "intensity": "unknown" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Course \u00e0 pied", "duration": 30, "event": "declaration", "intensity": "unknown" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Course à pied', 'duration': 30, 'event': 'declaration', 'intensity': 'unknown'}], 'cost': 0.13152} -------------------------------------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': "Ce soir j'ai bu trois coupes de champagne et je suis allé courir une demi-heure dans le parc d'à côté.", 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify food and beverage consumption or declaration', 'Identify the user physical activity'], 'solutions': {'nutrition': [{'name': '4 Coupes au Marc de Champagne Boîte de 480 Millilitres', 'normName': ' coupe marc de champagne boite de 480 millilitre ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#b3ec93c49e3130b93ee910606d45ee56', 'quantity': 'trois', 'quantityLem': '3', 'pack': ['AA2.w40', 'GLA.w40'], 'type': 'beverage', 'gtin': '3270160356959', 'gtinRef': '3270160356959', 'brand': 'Picard', 'time': 'dinner', 'event': 'declaration', 'serving': 'AA2-300', 'posiNormName': -1}], 'activity': [{'trigram': 'RUN', 'duration': 30, 'event': 'declaration', 'level': 'RUN10'}], 'response': {}}, 'cputime': 4.542290210723877} ---------------------------------------------------------------------------------- LLM CPU Time: 4.542290210723877