Input path: /home/debian/html/nutritwin/output_llm/66e6a38c84cff/input.json Output path: /home/debian/html/nutritwin/output_llm/66e6a38c84cff/output.json Input text: Ce matin j'ai mangé deux Vache Qui Rit j'ai mangé également un quignon de pain et bu un grand verre de lait pour aller ensuite courir dans le parc d'à côté 30 minutes 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 Vache Qui Rit j'ai mangé également un quignon de pain et bu un grand verre de lait pour aller ensuite courir dans le parc d'à côté 30 minutes ================================================================================================================================== ==================================== 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: ###Ce matin j'ai mangé deux Vache Qui Rit j'ai mangé également un quignon de pain et bu un grand verre de lait pour aller ensuite courir dans le parc d'à côté 30 minutes###. Format the result in JSON format: {intents: []}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- ```json { "intents": [ "Identify food consumption or declaration", "Identify the user physical activity" ] } ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json { "intents": [ "Identify food consumption or declaration", "Identify the user physical activity" ] } ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ { "intents": [ "Identify food consumption or declaration", "Identify the user physical activity" ]} ---------------------------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """Ce matin j'ai mangé deux Vache Qui Rit j'ai mangé également un quignon de pain et bu un grand verre de lait pour aller ensuite courir dans le parc d'à côté 30 minutes""" 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": "Vache Qui Rit", "quantity": "deux", "type": "food", "timeOfTheDay": "breakfast", "event": "declaration", "brand": "Vache Qui Rit", "company": "" }, { "name": "pain", "quantity": "un quignon", "type": "food", "timeOfTheDay": "breakfast", "event": "declaration", "brand": "", "company": "" }, { "name": "lait", "quantity": "un grand verre", "type": "beverage", "timeOfTheDay": "breakfast", "event": "declaration", "brand": "", "company": "" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "Vache Qui Rit", "quantity": "deux", "type": "food", "timeOfTheDay": "breakfast", "event": "declaration", "brand": "Vache Qui Rit", "company": "" }, { "name": "pain", "quantity": "un quignon", "type": "food", "timeOfTheDay": "breakfast", "event": "declaration", "brand": "", "company": "" }, { "name": "lait", "quantity": "un grand verre", "type": "beverage", "timeOfTheDay": "breakfast", "event": "declaration", "brand": "", "company": "" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Vache Qui Rit", "quantity": "deux", "type": "food", "timeOfTheDay": "breakfast", "event": "declaration", "brand": "Vache Qui Rit", "company": "" }, { "name": "pain", "quantity": "un quignon", "type": "food", "timeOfTheDay": "breakfast", "event": "declaration", "brand": "", "company": "" }, { "name": "lait", "quantity": "un grand verre", "type": "beverage", "timeOfTheDay": "breakfast", "event": "declaration", "brand": "", "company": "" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Vache Qui Rit', 'quantity': 'deux', 'type': 'food', 'timeOfTheDay': 'breakfast', 'event': 'declaration', 'brand': 'Vache Qui Rit', 'company': ''}, {'name': 'pain', 'quantity': 'un quignon', 'type': 'food', 'timeOfTheDay': 'breakfast', 'event': 'declaration', 'brand': '', 'company': ''}, {'name': 'lait', 'quantity': 'un grand verre', 'type': 'beverage', 'timeOfTheDay': 'breakfast', 'event': 'declaration', 'brand': '', 'company': ''}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'Vache Qui Rit', 'quantity': 'deux', 'type': 'food', 'timeOfTheDay': 'breakfast', 'event': 'declaration', 'brand': 'Vache Qui Rit', 'company': ''} 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 '% vache qui rit %' AND V_NormTrademark LIKE '%vache qui rit%' 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_NormAggr LIKE '% vache qui rit %' AND V_NormTrademark LIKE '%vache qui rit%' ------------------------------------------- ------ERROR-------------------------------- No solution for query: 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_NormAggr LIKE '% vache qui rit %' AND V_NormTrademark LIKE '%vache qui rit%' ------------------------------------------- ------------------------------------------- ----------- result to be analyzed ----------- {'name': 'pain', 'quantity': 'un quignon', 'type': 'food', 'timeOfTheDay': 'breakfast', 'event': 'declaration', 'brand': '', 'company': ''} 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 '% pain %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Pain - pain - - - 261532 - - - CIQ#78316c0b820d8f80c640c9d0bc741c50 Pain - pain - sans gluten - - 29 - - - CIQ#9d6a800b4a9dbe9504fb68b26057ad7b Pain - pain - baguette, courante - - 0 - - - CIQ#c92016dc98d790db0bc7c949d601f5c2 Pain - pain - baguette ou boule, au levain - - 0 - - - CIQ#4b65f0348cbdd1f29daadea789369616 Pain - pain - baguette ou boule, de campagne - - 0 - - - CIQ#665da1982ec8e7e74501d57dc7e111b8 Pain - pain - baguette, de tradition française - - 0 - - - CIQ#e5e8a2a86b1a95d66e26a64c18c0b520 Pain - pain - baguette ou boule, bis, à la farine T80 ou T110 - - 0 - - - CIQ#233b9a74f0cc423be7b3fe6fa040567b Pain - pain - baguette ou boule, bio, à la farine T55 jusqu'à T110 - - 0 - - - CIQ#91fae3ae1c9b87dd0039d7caa03a7d72 Pain - pain - baguette ou boule, aux céréales et graines, artisanal - - 0 - - - CIQ#5fed24621fe6dde995398f020bf84d7d Pain Bis - pain bi - - - 77 - - - KCA#0d04d397f5620b8618c8972be2ce29a7 Pain Pita - pain pita - - - 951 - - - KCA#0a6b29619370c1e5c09e5ec16992feed Pain Azyme - pain azyme - - - 1038 - - - KCA#90d292248257ebd4aba91b7e0f6f67d7 Pain Perdu - pain perdu - - - 783 - - - CIQ#67427fe34e70bfc99fd131b16908c1ee Pain de Son - pain de son - - - 302 - - - KCA#3ccdb3c87985b4f83e1354ee3a2cebfd Pain au Son - pain son - - - 0 - - - CIQ#825cc00fe7ac81ed34e142fde0f6ddf4 Pain de Mie - pain de mie - au son - - 0 - - - CIQ#1f8d06921f1e892824b0f8cef870e840 Pain de Mie - pain de mie - complet - - 7211 - - - CIQ#d93405497d2314d29dbd770c5b956eeb Pain de Mie - pain de mie - courant - - 0 - - - CIQ#667832b5357e637fdb28760b7d6c2d8d Pain Grillé - pain grille - domestique - - 0 - - - CIQ#f4bc68c618fb825e526db4034e88b66a Pain de Mie - pain de mie - sans croûte - - 32 - - - CIQ#be3f663945b51703d39413cadc3becab ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'lait', 'quantity': 'un grand verre', 'type': 'beverage', 'timeOfTheDay': 'breakfast', 'event': 'declaration', 'brand': '', 'company': ''} 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 '% lait %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Lait - lait - teneur en matière grasse inconnue, UHT, aliment moyen - - 0 - - - CIQ#ebdfafe0fce6b513193ae9c0855b4094 Lait à 1 - lait - 2% de matière grasse, UHT, enrichi en plusieurs vitamines - - 0 - - - CIQ#825f8bcb068ecde315938147ed819623 Lait Entier - lait entier - - - 1435 - - - KCA#c131edf4d3c1e17da0b0a54b5ed8bbb6 Lait Écrémé - lait ecreme - UHT - - 9353 - - - CIQ#27de8d007093ae392f4b782851e7fd9c Lait Entier - lait entier - UHT - - 0 - - - CIQ#5118aac9b89cceae9a62423175de70eb Lait Écrémé - lait ecreme - pasteurisé - - 0 - - - CIQ#1622e54576ffea9bca81697cacb48d94 Lait Entier - lait entier - pasteurisé - - 0 - - - CIQ#d5881852b522b09ee02aa0fe46885b00 Lait de Soja - lait de soja - - - 3001 - - - KCA#7484ab8a01f886bca7607cf06a579a2c Lait d'Avoine - lait avoine - - - 837 - - - KCA#54605e0becbb04ace3db6bf78748c15f Lait de Poule - lait de poule - sans alcool - - 0 - - - CIQ#f6756ecdc46ec65e5972c6aaf481f4a2 Lait en Poudre - lait en poudre - écrémé - - 117 - - - CIQ#1d9ba583216533c41321ffd9ea51b327 Lait en Poudre - lait en poudre - entier - - 25 - - - CIQ#be7d16f0a05422e5eb1d5ff077dee20c Lait de Brebis - lait de brebi - entier - - 0 - - - CIQ#b54f3b8a48f8d3e0ba7a0228c8adca4f Lait de Jument - lait de jument - entier - - 0 - - - CIQ#05ea74b811b1a15ad91876c22391f13a Lait en Poudre - lait en poudre - demi-écrémé - - 0 - - - CIQ#ee03115de1c18f635dbb62d80d6f9715 Lait de Chèvre - lait de chevre - entier, cru - - 0 - - - CIQ#8fb6afe4302a0073de91d274e3722c3e Lait de Chèvre - lait de chevre - entier, UHT - - 0 - - - CIQ#9d462cfc80afac9cf259f0f2f305db74 Lait de Chèvre - lait de chevre - demi-écrémé, UHT - - 0 - - - CIQ#a497c21ecfbd7c2930cb99326897a779 Lait 1/2 Écrémé - lait 1/2 ecreme - - - 23220 - - - KCA#d5b12fbedab6d0f0a741feeaa8e92b35 Lait Entier UHT - lait entier uht - - - 25 - - - KCA#aeb66cc691b5e08f15b01dc094a51d18 ---------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """Ce matin j'ai mangé deux Vache Qui Rit j'ai mangé également un quignon de pain et bu un grand verre de lait pour aller ensuite courir dans le parc d'à côté 30 minutes""" into an array in 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. """ ========================================================================================= ------------------------------ LLM Raw response ----------------------------- ```json [ { "name": "Course à pied", "duration": 30 } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "Course à pied", "duration": 30 } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Course à pied", "duration": 30 }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Course à pied', 'duration': 30}], 'cost': 0.0} -------------------------------------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': "Ce matin j'ai mangé deux Vache Qui Rit j'ai mangé également un quignon de pain et bu un grand verre de lait pour aller ensuite courir dans le parc d'à côté 30 minutes", 'intents': ['Identify food consumption or declaration', 'Identify the user physical activity'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Pain', 'normName': ' pain ', 'comment': '', 'normComment': '', 'rank': 261532, 'id': 'CIQ#78316c0b820d8f80c640c9d0bc741c50', 'quantity': 'un quignon', 'quantityLem': '1 quignon', 'pack': ['PAI.w60', 'BAG.w60', 'TPA.w30'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'breakfast', 'event': 'declaration', 'serving': 'PAI-100', 'posiNormName': 0}, {'name': 'Lait', 'normName': ' lait ', 'comment': 'teneur en matière grasse inconnue, UHT, aliment moyen', 'normComment': ' teneur en matiere grasse inconnue uht aliment moyen ', 'rank': 0, 'id': 'CIQ#ebdfafe0fce6b513193ae9c0855b4094', 'quantity': 'un grand verre', 'quantityLem': '1 grand verre', 'pack': ['VX1', 'VA2', 'VA3', 'BI4', 'VA4'], 'type': 'beverage', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'breakfast', 'event': 'declaration', 'serving': 'VX1-100', 'posiNormName': 0}], 'activity': [{'trigram': 'RUN', 'duration': 30, 'event': '', 'level': 'RUN10'}], 'response': {}}, 'cputime': 4.258120059967041} ---------------------------------------------------------------------------------- LLM CPU Time: 4.258120059967041