Input path: /home/debian/html/nutritwin/output_llm/66cee843c2570/input.json Output path: /home/debian/html/nutritwin/output_llm/66cee843c2570/output.json Input text: How many calories in an apple ? 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 many calories in an apple ? ================================================================================================================================== ==================================== 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 many calories in an apple ?###. 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 many calories in an apple ?""" 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": "apple", "quantity": "", "cookingMethod": "", "type": "food", "timeOfTheDay": "", "brand": "", "company": "", "event": "unknown" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "apple", "quantity": "", "cookingMethod": "", "type": "food", "timeOfTheDay": "", "brand": "", "company": "", "event": "unknown" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "apple", "quantity": "", "cookingMethod": "", "type": "food", "timeOfTheDay": "", "brand": "", "company": "", "event": "unknown" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'apple', 'quantity': '', 'cookingMethod': '', 'type': 'food', 'timeOfTheDay': '', 'brand': '', 'company': '', 'event': 'unknown'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'apple', 'quantity': '', 'cookingMethod': '', 'type': 'food', 'timeOfTheDay': '', 'brand': '', 'company': '', '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 '% apple %' 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 '% apple %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- Bifidus Pomme - bifidu pomme - - Carrefour - 0 - 8431876090000 - 8431876090000 - OFF#56413ddb364da2d34c1a347836ad5ffc Cappy Jabko 03 - cappy jabko 03 - - The Coca-Cola Company - 0 - 50112234 - - OFF#e562506e1ebbd11f68a2a84e3ead779c Vanilla Bean Maple Syrup Smoothie - vanilla bean maple syrup smoothie - - Marks & Spencer - 0 - 00854467 - 00854467 - OFF#27d4eacbd9aee1189a942f5c2c2a9066 Apple Mix - apple mi - - Ferrero - 0 - 4008400605623 - 4008400605623 - OFF#ab1e1074b7f666bbe5606ba2db0507db Apple Juice - apple juice - - Andros - 0 - 3608580823292 - 3608580823292 - OFF#97dca0a26f21ae581424d75c01561fef Apple Juice - apple juice - - Coop - 0 - 5000128943772 - 5000128943772 - OFF#7ea3ef571f2942941d7edf7bc3757f2b Apple Juice - apple juice - - The Coca-Cola Company - 0 - 5038862104708 - 5038862104708 - OFF#bd12b37bfeac2d907f3ef55cc2b9aa78 Apple Mango - apple mango - - The Coca-Cola Company - 0 - 5038862130783 - 5038862130783 - OFF#0568ddebf1a7d67a94f77d2588c86c22 Apple Juice - apple juice - - The Coca-Cola Company - 0 - 5038862114509 - 5038862104708 - OFF#a13a7ce39617e82a4de51d75165df600 Apple Juice - apple juice - - The Coca-Cola Company - 0 - 5038862132503 - 5038862104708 - OFF#81b399bc40854e201c1ab04b52ac8402 Apple Cherry - apple cherry - - Capri Sun Group - 0 - 4000177210567 - 4000177210567 - OFF#2001ec5bc0d5f319529ca1c1fa8217da Apple Stollen - apple stollen - - Lidl - 0 - 20506957 - 20506957 - OFF#3cebd3406524f1120e0c70f696f2ee8e Apple Crumble - apple crumble - - Mondelez International - 0 - 7622201804787 - 7622201804787 - OFF#a9274c99f46a7ae23a3e14ed02598184 Apple Biscuits - apple biscuit - - Lidl - 0 - 20769901 - 20769901 - OFF#dbb735abf1c97e0a2f3f709e1681453b Apple Mango Juice - apple mango juice - - Coop - 0 - 5000128994064 - 5000128994064 - OFF#89b2882ee3b0ec2212e805a84bfab7d4 Apple Berry Juice - apple berry juice - - The Coca-Cola Company - 0 - 5038862132039 - 5038862132039 - OFF#e7acbdb218e81fd7bd9ba4989daf73e6 Apple Raspberry Juice - apple raspberry juice - - The Coca-Cola Company - 0 - 5038862115506 - 5038862115506 - OFF#90d868d222a55991f1614546eb2d8599 Apple Mango High Juice - apple mango high juice - - Marks & Spencer - 0 - 00710701 - 00710701 - OFF#f0f44e1a51bf6019878ce881fea0875d Apple And Cinnamon Flakes - apple and cinnamon flake - - Marks & Spencer - 0 - 00818919 - 00818919 - OFF#496204cf739779da863f6aa441390a27 Apple Raspberry Redcurrant - apple raspberry redcurrant - - PepsiCo - 0 - 5410188036862 - 5410188036862 - OFF#a20d2a35ebca2614ae2dcce005690f93 ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution GA5.w100 ==================================== Prompt ============================================= Here is all known information: For "Bifidus Pomme", here are the nutrition values: name: Bifidus Pomme GTIN: 8431876090000 brand: Carrefour calorie: 43.0Kcal per 100g reference weight for a unity: 100g salt: 0.2g per 100g sugar: 5.0g per 100g NutriScore: A EcoScore: none allergens: en:milk allergen traces: none data source: Open Food Facts Answer in less than 50 words to this question with a short explanation if needed: "How many calories in an apple ?" " + "Mention the data source in the response if it exists. The answer must be in the same language than the question ========================================================================================= ------------------------------ LLM Raw response ----------------------------- La información proporcionada no incluye datos sobre las calorías de una manzana. Fuente de datos: Open Food Facts. ----------------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': 'La información proporcionada no incluye datos sobre las calorías de una manzana. Fuente de datos: Open Food Facts.', 'cost': 0.0} -------------------------------------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': 'How many calories in an apple ?', 'intents': ['Answer a nutrition question'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Bifidus Pomme', 'normName': ' bifidu pomme ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#56413ddb364da2d34c1a347836ad5ffc', 'quantity': '', 'quantityLem': '', 'pack': ['GA5.w100'], 'type': 'food', 'gtin': '8431876090000', 'gtinRef': '8431876090000', 'brand': 'Carrefour', 'time': '', 'event': 'unknown', 'serving': '', 'posiNormName': -1}], 'activity': [], 'response': {'type': 'text', 'data': 'La información proporcionada no incluye datos sobre las calorías de una manzana. Fuente de datos: Open Food Facts.'}}, 'cputime': 3.0720114707946777} ---------------------------------------------------------------------------------- LLM CPU Time: 3.0720114707946777