Input path: /home/debian/html/nutritwin/output_llm/664af142d2fb7/input.json Output path: /home/debian/html/nutritwin/output_llm/664af142d2fb7/output.json Input text: Ce matin j'ai mangé un bol de Corn Flakes ensuite j'ai bu un jus d'orange manger un croissant et je suis allé courir deux heures dans la forêt 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 un bol de Corn Flakes ensuite j'ai bu un jus d'orange manger un croissant et je suis allé courir deux heures dans la forêt ================================================================================================================================== ==================================== 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 un bol de Corn Flakes ensuite j'ai bu un jus d'orange manger un croissant et je suis allé courir deux heures dans la forêt###. 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 un bol de Corn Flakes ensuite j'ai bu un jus d'orange manger un croissant et je suis allé courir deux heures dans la forêt""" 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": "Corn Flakes", "quantity": "un bol", "type": "food", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" }, { "name": "jus d'orange", "quantity": "un", "type": "beverage", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" }, { "name": "croissant", "quantity": "un", "type": "food", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "Corn Flakes", "quantity": "un bol", "type": "food", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" }, { "name": "jus d'orange", "quantity": "un", "type": "beverage", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" }, { "name": "croissant", "quantity": "un", "type": "food", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Corn Flakes", "quantity": "un bol", "type": "food", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" }, { "name": "jus d'orange", "quantity": "un", "type": "beverage", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" }, { "name": "croissant", "quantity": "un", "type": "food", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Corn Flakes', 'quantity': 'un bol', 'type': 'food', 'time of the day': 'breakfast', 'event': 'declaration', 'brand': '', 'company': '', 'cooking method': ''}, {'name': "jus d'orange", 'quantity': 'un', 'type': 'beverage', 'time of the day': 'breakfast', 'event': 'declaration', 'brand': '', 'company': '', 'cooking method': ''}, {'name': 'croissant', 'quantity': 'un', 'type': 'food', 'time of the day': 'breakfast', 'event': 'declaration', 'brand': '', 'company': '', 'cooking method': ''}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'Corn Flakes', 'quantity': 'un bol', 'type': 'food', 'time of the day': 'breakfast', 'event': 'declaration', 'brand': '', 'company': '', 'cooking method': ''} 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 '% corn flake %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) 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 '% corn flake %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- Gofree Cornflakes - gofree cornflake - - Nestlé - 0 - 7613034709219 - 7613034709219 - OFF#9f78f9a23c20ac8464e2ba0b5a20fe65 Corn Flakes - corn flake - - Kellogg's - 0 - 0038000596551 - 0038000596551 - OFF#89838e4250afaab4d86ed9420594903d Corn Flakes - corn flake - - Marks & Spencer - 0 - 00819138 - 00819138 - OFF#96cba0204271577958c4bb25e72e2089 Corn Flakes - corn flake - - Casino - 0 - 3222473950324 - 3222473950324 - OFF#32a1efe4ecd5641fbbe333917e381b8b Corn Flakes - corn flake - - Bjorg - 0 - 3229820112961 - 3229820112961 - OFF#a9ab9b229f6630df9aa6ab620ae1d678 Corn Flakes - corn flake - - Monoprix - 0 - 3248650072207 - 3248650072207 - OFF#ba0554f3ef1951b2877ec82cf4d5422f Corn Flakes - corn flake - - Chabrior - 0 - 3250390100201 - 3250390100201 - OFF#7bca774022c8fade98ae45759f938c03 Corn Flakes - corn flake - - Les Mousquetaires - 0 - 3250392156619 - 3250392156619 - OFF#d19386d2c4dbce4df0c0376cc6343f62 Corn Flakes - corn flake - - Auchan - 0 - 3254560017511 - 3254560017511 - OFF#e4723f842185953ecf9dad4ed6750448 Corn Flakes - corn flake - - U - 0 - 3256220440257 - 3256220440257 - OFF#fd91a48de7bc50b945576e365167736b Corn Flakes - corn flake - - Belle France - 0 - 3258561040219 - 3258561040219 - OFF#a15e29e71841c6eb5c741bdada93ba3d Corn Flakes - corn flake - - Moulin des Moines - 0 - 3347430021180 - 3347430021180 - OFF#575e6f3e0e041fd904c23390d6ce8d5a Corn Flakes - corn flake - - Céréco - 0 - 3421557111044 - 3421557111044 - OFF#886460735d5e78094290761a37bf85ad Corn Flakes - corn flake - - Carrefour - 0 - 3560070131846 - 3560070131846 - OFF#686bd1939ea674fbb60066da1cb3081c Corn Flakes - corn flake - - Bio Village - 0 - 3564707115926 - 3564707115926 - OFF#faa1c5410b58c254cea84a6879bff0f1 Corn Flakes - corn flake - - Biocoop - 0 - 3760121211026 - 3760121211026 - OFF#0a28ece482830fde00c5b6c8cdad7c28 Corn Flakes - corn flake - - Leader Price - 0 - 4008713710748 - 4008713710748 - OFF#cf256d6a646cc90ae35a550b5a169cdd Corn Flakes - corn flake - - Delhaize - 0 - 5400113665700 - 5400113665700 - OFF#3147662087bd7aecfbf70359f526d193 Corn Flakes - corn flake - - Nestlé - 0 - 5900020019592 - 5900020019592 - OFF#01db0798106b5ec6d83f23381ae273d8 Corn Flakes - corn flake - - Dia - 0 - 8480017669568 - 8480017669568 - OFF#04efeede8b7570c145d6a69be26eb370 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': "jus d'orange", 'quantity': 'un', 'type': 'beverage', 'time of the day': 'breakfast', 'event': 'declaration', 'brand': '', 'company': '', 'cooking method': ''} 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 '% ju orange %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Jus d'Orange - ju orange - - - 52983 - - - KCA#da7a1f81a8cd82dbbbbbedf56a167258 Jus d'Orange - ju orange - pur jus - - 0 - - - CIQ#a4328be11b7e0fb0c4474532724cf38f Jus d'Orange - ju orange - à base de concentré - - 0 - - - CIQ#72928c242781a6ee15266175037b3fb8 Jus d'Orange Pasteurisé - ju orange pasteurise - - - 44 - - - KCA#8dc9e7ac955777e77122f7bd97350613 Jus d'Orange et Gingembre - ju orange gingembre - - - 31 - - - KCA#ac517779183d5fdeff117cfe8eb4be98 Jus d'Orange, Mangue et Fraise - ju orange mangue fraise - - - 60 - - - KCA#12cc18043b0813e5110bb808101edc8e Jus Orange Pamplemousse Pressés - ju orange pamplemousse presse - - - 517 - - - KCA#e606e760b12355e0cc070fbf069b4261 Jus d'Orange, Carotte et Céleri - ju orange carotte celeri - - - 117 - - - KCA#ba4cb33c47a671db82eeaad9ddd5c63e Jus d'Orange, Gingembre et Ananas - ju orange gingembre anana - - - 6 - - - KCA#e2edd8bdeebd69177ece6caee7f071d8 Jus d'Orange, Carotte et Gingembre - ju orange carotte gingembre - - - 73 - - - KCA#0c209cbc5beac761ddcf7ea316e5b29e Jus d'Orange, Ananas et Glace au Melon - ju orange anana glace melon - - - 21 - - - KCA#3e4e71456576da23059304f3eba50c9c ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'croissant', 'quantity': 'un', 'type': 'food', 'time of the day': 'breakfast', 'event': 'declaration', 'brand': '', 'company': '', 'cooking method': ''} 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 '% croissant %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Croissant - croissant - - - 0 - - - CIQ#86eae30edf4c00781a56f6b68dc52c22 Croissant Ordinaire - croissant ordinaire - - - 1682 - - - KCA#f001a79b3629152c6f6920a442cd728b Croissant au Jambon - croissant jambon - - - 212 - - - CIQ#8cd4fb25e8fd9b214dc8f8ca0dfd4d1a Croissant au Beurre - croissant beurre - artisanal - - 9262 - - - CIQ#7443ae4065cdd758d6077a2a98d30da8 Croissant Ordinaire - croissant ordinaire - artisanal - - 0 - - - CIQ#fe4e88f9975bad79c96e4d457655591a Croissant au Fromage - croissant fromage - - - 32 - - - KCA#81cabd3f5253e015e4c2a9d30e03d946 Croissant Boulangerie - croissant boulangerie - - - 848 - - - KCA#a4ee72ec661706e325ce7f55832b6f77 Croissant aux Amandes - croissant au amande - artisanal - - 0 - - - CIQ#09009466d5ee111e22cbfc099ea58f4a Croissant au Jambon Fromage - croissant jambon fromage - - - 0 - - - CIQ#62e60d508ab7cd11d065c260425c770b ---------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """Ce matin j'ai mangé un bol de Corn Flakes ensuite j'ai bu un jus d'orange manger un croissant et je suis allé courir deux heures dans la forêt""" 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. # 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:duration a owl:DatatypeProperty ; rdfs:label "duration"@en; rdfs:comment "The duration must be a number and 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. 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" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "Course à pied" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Course à pied" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Course à pied'}], 'cost': 0.0} -------------------------------------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': "Ce matin j'ai mangé un bol de Corn Flakes ensuite j'ai bu un jus d'orange manger un croissant et je suis allé courir deux heures dans la forêt", 'intents': ['Identify food consumption or declaration', 'Identify the user physical activity'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Gofree Cornflakes', 'normName': ' gofree cornflake ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#9f78f9a23c20ac8464e2ba0b5a20fe65', 'quantity': 'un bol', 'quantityLem': '1 bol', 'pack': ['BOL.w50'], 'type': 'food', 'gtin': '7613034709219', 'gtinRef': '7613034709219', 'brand': 'Nestlé', 'time': '', 'event': 'declaration', 'serving': 'BOL.w50-1bol', 'posiNormName': -1}, {'name': "Jus d'Orange", 'normName': ' ju orange ', 'comment': '', 'normComment': '', 'rank': 52983, 'id': 'KCA#da7a1f81a8cd82dbbbbbedf56a167258', 'quantity': 'un', 'quantityLem': '1', 'pack': ['VA4', 'VA3', 'VA2', 'VX1', 'GOB', 'LDK'], 'type': 'beverage', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'VA4-100', 'posiNormName': 0}, {'name': 'Croissant', 'normName': ' croissant ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'CIQ#86eae30edf4c00781a56f6b68dc52c22', 'quantity': 'un', 'quantityLem': '1', 'pack': ['VIE.w50'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'VIE-100', 'posiNormName': 0}], 'activity': [{'trigram': 'RUN', 'duration': 0, 'event': '', 'level': 'RUN10'}], 'response': {}}, 'cputime': 5.758735179901123} ---------------------------------------------------------------------------------- LLM CPU Time: 5.758735179901123