Input path: /home/debian/html/nutritwin/output_llm/66b8b2426b14f/input.json Output path: /home/debian/html/nutritwin/output_llm/66b8b2426b14f/output.json Input text: Pommes de France vanille bourbon 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: Pommes de France vanille bourbon ================================================================================================================================== ==================================== 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: ###Pommes de France vanille bourbon###. 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 : """Pommes de France vanille bourbon""" 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": "Pommes de France", "brand": "", "cookingMethod": "", "quantity": "", "type": "food", "timeOfTheDay": "", "event": "unknown" }, { "name": "vanille bourbon", "brand": "", "cookingMethod": "", "quantity": "", "type": "food", "timeOfTheDay": "", "event": "unknown" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "Pommes de France", "brand": "", "cookingMethod": "", "quantity": "", "type": "food", "timeOfTheDay": "", "event": "unknown" }, { "name": "vanille bourbon", "brand": "", "cookingMethod": "", "quantity": "", "type": "food", "timeOfTheDay": "", "event": "unknown" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Pommes de France", "brand": "", "cookingMethod": "", "quantity": "", "type": "food", "timeOfTheDay": "", "event": "unknown" }, { "name": "vanille bourbon", "brand": "", "cookingMethod": "", "quantity": "", "type": "food", "timeOfTheDay": "", "event": "unknown" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Pommes de France', 'brand': '', 'cookingMethod': '', 'quantity': '', 'type': 'food', 'timeOfTheDay': '', 'event': 'unknown'}, {'name': 'vanille bourbon', 'brand': '', 'cookingMethod': '', 'quantity': '', 'type': 'food', 'timeOfTheDay': '', 'event': 'unknown'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'Pommes de France', 'brand': '', 'cookingMethod': '', 'quantity': '', 'type': 'food', 'timeOfTheDay': '', 'event': 'unknown'} 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 '% pomme de france %' 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 '% pomme de france %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- Jus de Pomme de France BIO - ju de pomme de france bio - - Carrefour - 0 - 3560071190149 - 3560071190149 - OFF#a859580925959a4e849e3aa423af530d 100% Pur Jus de Pomme Pommes de France - 100% pur ju de pomme pomme de france - - Casino - 0 - 3222477037625 - 3222477037625 - OFF#b310e6d28ba202fc09fee5dae0d3576c ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'vanille bourbon', 'brand': '', 'cookingMethod': '', 'quantity': '', 'type': 'food', 'timeOfTheDay': '', 'event': 'unknown'} 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 '% vanille bourbon %' 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 '% vanille bourbon %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- Gaufrettes Fourrées Vanille - gaufrette fourree vanille - - La Vie Claire - 0 - 3266191085777 - 3266191085777 - OFF#5889fa426b80ab477dc25c406e28bf2c Assortiment de 12 Poissons Glacés - assortiment de 12 poisson glace - - Thiriet - 0 - 3292590499457 - 3292590499457 - OFF#4b0c51060056d8bac4ef78c5102385c6 Les Mixés au Lait Entier Mangue Vanille - le mixe lait entier mangue vanille - - Auchan - 0 - 3596710495948 - 3596710495948 - OFF#62e64d2d427c7227de4bbdcaebafcfac La Vanille Macadamia Sauce Caramel au Beurre Salé - vanille macadamia sauce caramel beurre sale - - Franprix - 0 - 3263858409020 - 3263858409020 - OFF#f449f19923f524a91a8246aa5596f3f8 Vanille Bourbon Light - vanille bourbon light - - Unilever - 0 - 8000920703311 - 8000920703311 - OFF#1eee51c474e0baee3dc419b9fd5d8eff Vanille Bourbon Caramel - vanille bourbon caramel - - Nestlé - 0 - 3274664201807 - 3274664201807 - OFF#5c46bed4e80d871d44c8f27213248d11 Vanille Bourbon de Madagascar - vanille bourbon de madagascar - - Thiriet - 0 - 3292590346959 - 3292590346959 - OFF#c4c5c716532c55425e4295ec856e19b7 Vanille Bourbon Caramel Bûchettes Individuelles - vanille bourbon caramel buchette individuelle - - Nestlé - 0 - 3274664221324 - 3274664221324 - OFF#a9ee707afc78ebb26cf0ddcc51dcfd5a Blanc Vanille Bourbon - blanc vanille bourbon - - Casino - 0 - 3222474102005 - 3222474102005 - OFF#dc35194b8a12a874a6660daa71119a99 Glace Vanille Bourbon - glace vanille bourbon - - Leader Price - 0 - 3263859901219 - 3263859901219 - OFF#70d1a1fe41feeabbb94129f7e02bf822 Glace Vanille Bourbon - glace vanille bourbon - - Nestlé - 0 - 3274664225674 - 3274664225674 - OFF#c00d37bd9902e50001fa1653e03b4d2c Glace Vanille Bourbon - glace vanille bourbon - - Thiriet - 0 - 3292590526078 - 3292590526078 - OFF#9b9b2d92be81e900143441387d0e49e6 Crème Vanille Bourbon - creme vanille bourbon - - Mamie Nova - 0 - 3456770033446 - 3456770033446 - OFF#f536b5547faaf92c4a0d7a4222f8cadc Glace Vanille Bourbon - glace vanille bourbon - - Labeyrie - 0 - 3760197633968 - 3760197633968 - OFF#e0700ca311780782ea9f9f2eecf5c04a Crème Vanille Bourbon - creme vanille bourbon - - Mamie Nova - 0 - 3456770913168 - 3456770033446 - OFF#a4717bd9d1ae08940711612a886e49b0 Sablés Vanille Bourbon - sable vanille bourbon - - Monoprix - 0 - 3350033911512 - 3350033911512 - OFF#5d29415082350076ee3462863db241fa Buche Vanille Bourbon Fève Tonka - buche vanille bourbon feve tonka - - Nestlé - 0 - 3274664135058 - 3274664135058 - OFF#21bb744bfa1beafffbeb8382e27b9a30 Glace Vanille Bourbon la Laitière - glace vanille bourbon laitiere - - La Laitière - 0 - 3274664109820 - 3274664109820 - OFF#ff6ad886865fbcc538b3acca7d53f52c Yaourt Vanille Bourbon - yaourt vanille bourbon - - Yoplait - 0 - 3297560122120 - 3297560122120 - OFF#dca4596bd033a4a3508d7fe85baa67a5 12 Mini Mix Vanille Bourbon - 12 mini mi vanille bourbon - - Aldi - 0 - 26053912 - 26053912 - OFF#48f80fc619a4c7bf5f8192fd60497a67 ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': 'Pommes de France vanille bourbon', 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Jus de Pomme de France BIO', 'normName': ' ju de pomme de france bio ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#a859580925959a4e849e3aa423af530d', 'quantity': '', 'quantityLem': '', 'pack': ['VX1', 'BI4', 'VA2', 'VA3', 'GOB'], 'type': 'food', 'gtin': '3560071190149', 'gtinRef': '3560071190149', 'brand': 'Carrefour', 'time': '', 'event': 'unknown', 'serving': '', 'posiNormName': 6}, {'name': 'Gaufrettes Fourrées Vanille', 'normName': ' gaufrette fourree vanille ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#5889fa426b80ab477dc25c406e28bf2c', 'quantity': '', 'quantityLem': '', 'pack': ['GA4.w11'], 'type': 'food', 'gtin': '3266191085777', 'gtinRef': '3266191085777', 'brand': 'La Vie Claire', 'time': '', 'event': 'unknown', 'serving': '', 'posiNormName': -1}], 'activity': [], 'response': {}}, 'cputime': 2.6216530799865723} ---------------------------------------------------------------------------------- LLM CPU Time: 2.6216530799865723