Input path: /home/debian/html/nutritwin/output_llm/66e9dad2a9671/input.json Output path: /home/debian/html/nutritwin/output_llm/66e9dad2a9671/output.json Input text: Un grand verre de Coca-Cola. 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: Un grand verre de Coca-Cola. ================================================================================================================================== ==================================== 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: ###Un grand verre de Coca-Cola.###. 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 : """Un grand verre de Coca-Cola.""" 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 beverage identifier, the name should not contain information related to quantity or container (like glass...)."@en; rdfs:comment "Ignore food or beverage when it is not consumed in the past, now or in the future."@en; rdfs:comment "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. The brand cannot be equal to the name."@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": "Coca-Cola", "quantity": "un grand verre", "type": "beverage", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "Coca-Cola", "quantity": "un grand verre", "type": "beverage", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Coca-Cola", "quantity": "un grand verre", "type": "beverage", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Coca-Cola', 'quantity': 'un grand verre', 'type': 'beverage', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'Coca-Cola', 'quantity': 'un grand verre', 'type': 'beverage', 'event': 'declaration'} 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 '% coca cola %' 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 '% coca cola %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- Re - re - - The Coca-Cola Company - 0 - 5038862239288 - - OFF#ee2a18c418f91ac2ff8909dc8b55c0df Soda - soda - - The Coca-Cola Company - 0 - 5000112609608 - 5000112609608 - OFF#13d7eb865ddc60c5bc7c14a3060ce9c7 Nalu - nalu - - The Coca-Cola Company - 0 - 5449000067456 - 5449000067456 - OFF#64d634ac7ff85b6ca293a064f28acd22 Coke - coke - - The Coca-Cola Company - 0 - 0088009110418 - - OFF#76403b9d994d82c2be499a14744248e6 Soda - soda - - The Coca-Cola Company - 0 - 5000112634761 - 5000112609608 - OFF#9d35d64bcebd2b1370bfdf4368c60ef5 Oasis - oasi - - The Coca-Cola Company - 0 - 0067311028338 - 0067311028338 - OFF#7b6ea2cc74388b6944bb9c817090f014 Fanta - fanta - - The Coca-Cola Company - 0 - 5000112659610 - 5000112659610 - OFF#2cd1c5dbccdccbd27f3c2968316989e8 Pulpy - pulpy - - The Coca-Cola Company - 0 - 5449000187536 - 5449000187536 - OFF#df121a2c8d50fce4b04d334e588d6473 Hawai - hawai - - The Coca-Cola Company - 0 - 54492103 - 54492103 - OFF#937b7ea871c1aadb6dc94a39c9417c7f Pomme - pomme - - The Coca-Cola Company - 0 - 9049000000017 - 9049000000017 - OFF#9bda3a93fb4635862d85dc12c0918f11 Oasis - oasi - - The Coca-Cola Company - 0 - 3124480100016 - 0067311028338 - OFF#94676babf8c4ea09d718964e411cba0d Oasis - oasi - - The Coca-Cola Company - 0 - 3124480177933 - 0067311028338 - OFF#b6b336cfef262e651943b5153b4e8e55 Oasis - oasi - - The Coca-Cola Company - 0 - 3124480234902 - 0067311028338 - OFF#d990513612cee647478cbfc3baab8863 Oasis - oasi - - The Coca-Cola Company - 0 - 3287951350195 - 0067311028338 - OFF#c3251862c26d5d7a3eb818949d0c282b Fanta - fanta - - The Coca-Cola Company - 0 - 5449000188526 - 5000112659610 - OFF#0fd97675ce300bfe48474ff5edcf7968 Fanta - fanta - - The Coca-Cola Company - 0 - 5449000000088 - 5000112659610 - OFF#e5a76692fd965e23be7ab28249ac41c3 Fanta - fanta - - The Coca-Cola Company - 0 - 90495090 - 5000112659610 - OFF#9a30c250f1976a057baa7a14c0304c3f Orange - orange - - The Coca-Cola Company - 0 - 15006646 - 15006646 - OFF#591a1bcd3a19cad7aa20128bd334822f Sprite - sprite - - The Coca-Cola Company - 0 - 2000000003785 - 2000000003785 - OFF#58082d044c60911a5141cb842d889bfe So Mix - so mi - - The Coca-Cola Company - 0 - 3274661100592 - 3274661100592 - OFF#6cfdc89d235c2825655c8b24f52ff4fc ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': 'Un grand verre de Coca-Cola.', 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Re', 'normName': ' re ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#ee2a18c418f91ac2ff8909dc8b55c0df', 'quantity': 'un grand verre', 'quantityLem': '1 grand verre', 'pack': ['VX1', 'BI4', 'VA2', 'VA3', 'GOB'], 'type': 'beverage', 'gtin': '5038862239288', 'gtinRef': '', 'brand': 'The Coca-Cola Company', 'time': '', 'event': 'declaration', 'serving': 'VX1-100', 'posiNormName': -1}], 'activity': [], 'response': {}}, 'cputime': 1.7992639541625977} ---------------------------------------------------------------------------------- LLM CPU Time: 1.7992639541625977