Input path: /home/debian/html/nutritwin/output_llm/666703ee21113/input.json Output path: /home/debian/html/nutritwin/output_llm/666703ee21113/output.json Input text: How much water should an individual consumer per day? 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: How much water should an individual consumer per day? ================================================================================================================================== ==================================== 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: ###How much water should an individual consumer per day?###. Format the result in JSON format: {intents: []}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- ```json { "intents": ["Answer a nutrition question"] } ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json { "intents": ["Answer a nutrition question"] } ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ { "intents": ["Answer a nutrition question"]} ---------------------------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """How much water should an individual consumer per day?""" 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": "water", "quantity": "2 liters", "cookingMethod": "", "type": "beverage", "timeOfTheDay": "unknown", "brand": "", "company": "", "event": "intent" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "water", "quantity": "2 liters", "cookingMethod": "", "type": "beverage", "timeOfTheDay": "unknown", "brand": "", "company": "", "event": "intent" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "water", "quantity": "2 liters", "cookingMethod": "", "type": "beverage", "timeOfTheDay": "unknown", "brand": "", "company": "", "event": "intent" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'water', 'quantity': '2 liters', 'cookingMethod': '', 'type': 'beverage', 'timeOfTheDay': 'unknown', 'brand': '', 'company': '', 'event': 'intent'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'water', 'quantity': '2 liters', 'cookingMethod': '', 'type': 'beverage', 'timeOfTheDay': 'unknown', 'brand': '', 'company': '', 'event': 'intent'} 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 '% water %' 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 '% water %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- Peach - peach - - Nestlé - 0 - 0074780377508 - 0074780377508 - OFF#a4ce02abb2c5734eb43eab1018443bcd Spellegrino - spellegrino - - Nestlé - 0 - 0049283802185 - 0049283802185 - OFF#7ac0b20d2c1d3427292c3557e6469597 Volvic Strawberry - volvic strawberry - - Danone - 0 - 3057640308338 - 3057640308338 - OFF#d598e4f6775bfad91d3faf5598e7d5c7 Fresh Drinking Coconut - fresh drinking coconut - - Marks & Spencer - 0 - 00088978 - 00088978 - OFF#74290b88b199bf9810d94a2db39fb744 Eau Gazeuse Concombre Menthe - eau gazeuse concombre menthe - - Marks & Spencer - 0 - 00751971 - 00751971 - OFF#ef2596013f3f50c2b9e30378db13a6b0 Sparkling Scottish Moutain Watzr - sparkling scottish moutain watzr - - Marks & Spencer - 0 - 00643740 - 00643740 - OFF#39f47460055956edd29f013a363adb54 Water - water - - Spar - 0 - 5414310012724 - 5414310012724 - OFF#2d5c405659fe85cabb7f4c13d8cf0885 Soda Water - soda water - - Orangina Suntory France - 0 - 4890008402304 - 4890008402304 - OFF#a5b968df90d40ccfc9361bc3dcf256b1 Coco Water - coco water - - Delhaize - 0 - 5400119521420 - 5400119521420 - OFF#8cf899b002ea6822146cd969cc70e7b2 Soda Water - soda water - - Orangina Suntory France - 0 - 54493926 - 4890008402304 - OFF#e9f3596a87b0176405713103f28327fa Tonic Water - tonic water - - Orangina Suntory France - 0 - 4000140072178 - 4000140072178 - OFF#9b626aeeb2bbd12fb7eefb6ad953f617 Tonic Water - tonic water - - Red Bull - 0 - 9002490239015 - 9002490239015 - OFF#d7232154014edda749ebb6bf1eb47a0a Tonic Water - tonic water - - Orangina Suntory France - 0 - 4000140700149 - 4000140072178 - OFF#3e23ea664569695ee039fb7e35410dca Still Water Strawberry - still water strawberry - - Marks & Spencer - 0 - 00213844 - 00213844 - OFF#e8d0c61592ca48d37c62f468c2ddcd8c Tonic Water Elderflower - tonic water elderflower - - Coop - 0 - 5060108451673 - 5060108451673 - OFF#8f285db66c9d0066d040307bcde00ca1 Tonic Water Indian Tonic - tonic water indian tonic - - Lidl - 0 - 4056489013600 - 4056489013600 - OFF#a67c9bc99c28e2feb6a193b28c679e1b Coconut Water - coconut water - - Marks & Spencer - 0 - 00974110 - 00974110 - OFF#fd97a4279f57a1ea99ae41cf663173db Coconut Water - coconut water - - The Coca-Cola Company - 0 - 5038862136174 - 5038862136174 - OFF#d520806c92cf2713de5c795a7334faa8 Coconut Water - coconut water - - The Coca-Cola Company - 0 - 5038862138161 - 5038862136174 - OFF#67203f9888c18d2fee03e355d874825d Coconut Water With Strawberry Lime - coconut water with strawberry lime - - Marks & Spencer - 0 - 00751117 - 00751117 - OFF#372d38f4003749832f0990ce0c4e2fc3 ---------------------------------------------------- ERROR: no solution for picto in the first solution VX1,BI4,VA2,VA3,GOB ==================================== Prompt ============================================= Here is all known information: For "Peach", here are the nutrition values: name: Peach GTIN: 0074780377508 brand: Nestlé calorie: 0.0Kcal per 100ml reference volume for a unity: 200ml salt: 0.0g per 100ml sugar: 0.0g per 100ml NutriScore: B EcoScore: none allergens: none allergen traces: none data source: Open Food Facts Answer in less than 50 words to this question with a short explanation if needed: "How much water should an individual consumer per day?" " + "Mention the data source in the response if it exists. The answer must be in the same language than the question ========================================================================================= ------------------------------ LLM Raw response ----------------------------- Un individuo debe consumir aproximadamente 2 litros de agua al día. Esta cantidad puede variar según factores como la actividad física y el clima. Fuente: Open Food Facts. ----------------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': 'Un individuo debe consumir aproximadamente 2 litros de agua al día. Esta cantidad puede variar según factores como la actividad física y el clima. Fuente: Open Food Facts.', 'cost': 0.0} -------------------------------------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': 'How much water should an individual consumer per day?', 'intents': ['Answer a nutrition question'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Peach', 'normName': ' peach ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#a4ce02abb2c5734eb43eab1018443bcd', 'quantity': '2 liters', 'quantityLem': '2 liter', 'pack': ['VX1', 'BI4', 'VA2', 'VA3', 'GOB'], 'type': 'beverage', 'gtin': '0074780377508', 'gtinRef': '0074780377508', 'brand': 'Nestlé', 'time': 'unknown', 'event': 'intent', 'serving': '', 'posiNormName': -1}], 'activity': [], 'response': {'type': 'text', 'data': 'Un individuo debe consumir aproximadamente 2 litros de agua al día. Esta cantidad puede variar según factores como la actividad física y el clima. Fuente: Open Food Facts.'}}, 'cputime': 3.9036636352539062} ---------------------------------------------------------------------------------- LLM CPU Time: 3.9036636352539062