Input path: /home/debian/html/nutritwin/output_llm/6759bd2faaf02/input.json Output path: /home/debian/html/nutritwin/output_llm/6759bd2faaf02/output.json Input text: Ce matin j'ai mangé deux bananes et j'ai pris une tasse de thé et ensuite j'ai mangé un sandwich au jambon pour aller courir après dans le parc pendant une demi-heure. 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 matin j'ai mangé deux bananes et j'ai pris une tasse de thé et ensuite j'ai mangé un sandwich au jambon pour aller courir après dans le parc pendant une demi-heure. ================================================================================================================================== ==================================== 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 matin j'ai mangé deux bananes et j'ai pris une tasse de thé et ensuite j'ai mangé un sandwich au jambon pour aller courir après dans le parc pendant une demi-heure.###. 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 matin j'ai mangé deux bananes et j'ai pris une tasse de thé et ensuite j'ai mangé un sandwich au jambon pour aller courir après dans le parc pendant une demi-heure.""" 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": "banane", "quantity": "deux", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "thé", "quantity": "une tasse", "timeOfTheDay": "breakfast", "type": "beverage", "event": "declaration" }, { "name": "sandwich au jambon", "quantity": "un", "timeOfTheDay": "snacking", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "banane", "quantity": "deux", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "thé", "quantity": "une tasse", "timeOfTheDay": "breakfast", "type": "beverage", "event": "declaration" }, { "name": "sandwich au jambon", "quantity": "un", "timeOfTheDay": "snacking", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "banane", "quantity": "deux", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" }, { "name": "th\u00e9", "quantity": "une tasse", "timeOfTheDay": "breakfast", "type": "beverage", "event": "declaration" }, { "name": "sandwich au jambon", "quantity": "un", "timeOfTheDay": "snacking", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'banane', 'quantity': 'deux', 'timeOfTheDay': 'breakfast', 'type': 'food', 'event': 'declaration'}, {'name': 'thé', 'quantity': 'une tasse', 'timeOfTheDay': 'breakfast', 'type': 'beverage', 'event': 'declaration'}, {'name': 'sandwich au jambon', 'quantity': 'un', 'timeOfTheDay': 'snacking', 'type': 'food', 'event': 'declaration'}], 'cost': 0.11399999999999999} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'banane', 'quantity': 'deux', 'timeOfTheDay': 'breakfast', 'type': 'food', '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 '% banane %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Banane - banane - pulpe, crue - - 57967 - - - CIQ#6066b5bb884711efc0e44c9446b96aa3 Banane Sèche - banane seche - - - 346 - - - KCA#2e3e40d3b1ae9f793251e9948142d784 Bananes en Robe - banane en robe - - - 14 - - - KCA#b274666ef64f762c58695191d4286b85 Banane Plantain - banane plantain - - - 2 - - - CIQ#1055a76a23712202f3c842fba09fa691 Bananes Barbecue - banane barbecue - - - 33 - - - KCA#1d31fb8efe54f0bc7765a60cc9f8c324 Bananes au Jambon - banane jambon - - - 4 - - - KCA#e21d980b838ba89f4e9ba1d85f593c95 Smoothie Banane et Lait de Soja - smoothie banane lait de soja - de soja - - 0 - - - KCA#dc0b16a02e5290892f9adee7419ec0e7 Crème Glacée Banane, Pomme et Noix de Macadamia - creme glacee banane pomme noix de macadamia - - - 34 - - - KCA#3233d39965b7baa31d10a301ac541ffa Bruschette à la Fraise, à la Banane et à la Ricotta - bruschette fraise banane ricotta - - - 2 - - - KCA#fd9db147f698ab1c84b0905704258a5f ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'thé', 'quantity': 'une tasse', 'timeOfTheDay': 'breakfast', '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 '% the %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Thé Vert - the vert - infusé, non sucré - - 0 - - - CIQ#eac5c73b642ef9eb1db2cafc9d1843ba Thé Noir - the noir - infusé, non sucré - - 0 - - - CIQ#bf75fb01672a7afe76ba5a88645e87ca Thé Infusé - the infuse - non sucré - - 0 - - - CIQ#09bb3cfe071d2337b58db8e32379af6d Thé Oolong - the oolong - infusé, non sucré - - 0 - - - CIQ#dcf2a40c30e0bd1cf9736831ce2f1a07 Thé sans Sucre - the san sucre - sans sucre - - 0 - - - KCA#9de5d7e3a39cb14df7a2014ed9319364 Thé au Lait Sucré - the lait sucre - 1 sucre - - 2799 - - - KCA#f79219b7fdb1e0186da32547f7467cc3 Thé Sucré (1 Sucre) - the sucre - sucré (1 sucre) - - 0 - - - KCA#ce556337e0d9788306e32b24fe0fe081 Thé au Lait sans Sucre - the lait san sucre - sans sucre - - 0 - - - KCA#978c8f4bf945ce13218480e6d937996a Thé à la Menthe sans Sucre - the menthe san sucre - sans sucre - - 0 - - - KCA#d6b018fd859ac0e6ee70bca51b09db90 Sex On The Beach - se on the beach - the beach - - 0 - - - KCA#f07d74af373a5290a216c60de530b430 Boisson au Thé - boisson the - aromatisée, sucrée - - 94 - - - KCA#b6e1f48e249eca1255475b06f7bf38aa Boisson au Thé - boisson the - aromatisée, sucrée - - 0 - - - CIQ#b6e1f48e249eca1255475b06f7bf38aa Boisson au Thé - boisson the - aromatisée, 'light' - - 6 - - - KCA#c1894f128b1446d7f36c0d2f350d199c Boisson au Thé - boisson the - aromatisée, teneur en sucre et édulcorant inconnue, aliment moyen - - 0 - - - CIQ#7deb532133632b6172af215d3ff1ff5b Pruneaux au Thé - pruneau the - - - 6 - - - KCA#8cb9a957c6950b74118bd4b2efeeb2b9 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'sandwich au jambon', 'quantity': 'un', 'timeOfTheDay': 'snacking', 'type': 'food', '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 '% sandwich jambon %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) Word: Sandwich Jambon Cuit - dist: 0.5459904074668884 - row: 54886 Word: Sandwich au Jambon et Fromage - dist: 0.5719643235206604 - row: 58066 Word: Sandwich Jambon Beurre - dist: 0.5920044779777527 - row: 7591 Word: Sandwich Jambon Emmental - dist: 0.5938794016838074 - row: 7585 Word: Sandwich Jambon Fromage - dist: 0.6034263968467712 - row: 14220 Found embedding word: Sandwich Jambon Cuit Second 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_Name = 'Sandwich Jambon Cuit' ------------- Found solution (max 20) -------------- Sandwich Jambon Cuit - sandwich jambon cuit - - Carrefour - 0 - 5400101055797 - 5400101055797 - OFF#1db1ee3db9926e1d54c860f2b05d23c9 ---------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """Ce matin j'ai mangé deux bananes et j'ai pris une tasse de thé et ensuite j'ai mangé un sandwich au jambon pour aller courir après dans le parc pendant une demi-heure.""" 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': 0.13254} -------------------------------------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': "Ce matin j'ai mangé deux bananes et j'ai pris une tasse de thé et ensuite j'ai mangé un sandwich au jambon pour aller courir après dans le parc pendant une demi-heure.", 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify food and beverage consumption or declaration', 'Identify the user physical activity'], 'solutions': {'nutrition': [{'name': 'Banane', 'normName': ' banane ', 'comment': 'pulpe, crue', 'normComment': ' pulpe crue ', 'rank': 57967, 'id': 'CIQ#6066b5bb884711efc0e44c9446b96aa3', 'quantity': 'deux', 'quantityLem': '2', 'pack': ['BAN.w100'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'breakfast', 'event': 'declaration', 'serving': 'BAN-200', 'posiNormName': 0}, {'name': 'Thé Vert', 'normName': ' the vert ', 'comment': 'infusé, non sucré', 'normComment': ' infuse non sucre ', 'rank': 0, 'id': 'CIQ#eac5c73b642ef9eb1db2cafc9d1843ba', 'quantity': 'une tasse', 'quantityLem': '1 tasse', 'pack': ['TAC'], 'type': 'beverage', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'breakfast', 'event': 'declaration', 'serving': 'TAC-100', 'posiNormName': 0}, {'name': 'Sandwich Jambon Cuit', 'normName': ' sandwich jambon cuit ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#1db1ee3db9926e1d54c860f2b05d23c9', 'quantity': 'un', 'quantityLem': '1', 'pack': ['TR3.w40'], 'type': 'food', 'gtin': '5400101055797', 'gtinRef': '5400101055797', 'brand': 'Carrefour', 'time': 'snacking', 'event': 'declaration', 'serving': 'TR3-100', 'posiNormName': 0}], 'activity': [{'trigram': 'RUN', 'duration': 30, 'event': 'declaration', 'level': 'RUN10'}], 'response': {}}, 'cputime': 7.163999557495117} ---------------------------------------------------------------------------------- LLM CPU Time: 7.163999557495117