Input path: /home/debian/html/nutritwin/output_llm/66f4e33d24250/input.json Output path: /home/debian/html/nutritwin/output_llm/66f4e33d24250/output.json Input text: Ce matin j'ai bu un grand verre de coca. 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 bu un grand verre de coca. ================================================================================================================================== ==================================== 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 bu un grand verre de coca.###. 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 : """Ce matin j'ai bu un grand verre de coca.""" 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. 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."@en; rdfs:comment "When the name is very known (ex: Activia, Coca) and the brand is not mentioned, guess the brand."@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", "quantity": "un grand verre", "type": "beverage", "time of the day": "breakfast", "brand": "Coca", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "coca", "quantity": "un grand verre", "type": "beverage", "time of the day": "breakfast", "brand": "Coca", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "coca", "quantity": "un grand verre", "type": "beverage", "time of the day": "breakfast", "brand": "Coca", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'coca', 'quantity': 'un grand verre', 'type': 'beverage', 'time of the day': 'breakfast', 'brand': 'Coca', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'coca', 'quantity': 'un grand verre', 'type': 'beverage', 'time of the day': 'breakfast', 'brand': 'Coca', '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 %' AND V_NormTrademark LIKE '%coca%' ------------- Found solution (max 20) -------------- Coca Cola - coca cola - - The Coca-Cola Company - 0 - 0049000004632 - 0049000004632 - OFF#40538ecf4c32705b3b695d7a2d2b3611 Coca Zero - coca zero - - The Coca-Cola Company - 0 - 3348630001101 - 3348630001101 - OFF#440095f3b491e7e31cd0d061fc51039a Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5449000028921 - 0049000004632 - OFF#20f61f62bf57f7016ce7534ad4a33ade Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5449000155986 - 0049000004632 - OFF#9ebd6cc3a118cd0be4c1bdf4c247d6cf Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112634716 - 0049000004632 - OFF#88d61dff0933f8e590144113cc5fbe1d Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112634655 - 0049000004632 - OFF#3406355b3bacc2c71d87ae5715b5090a Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112632767 - 0049000004632 - OFF#07b9b58aabe14458999e1bfb98e87471 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112631104 - 0049000004632 - OFF#30539faf7d5765f120a708d779bbff5c Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112631029 - 0049000004632 - OFF#9b12e89e2a7c51a6d2314130eede254c Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112630794 - 0049000004632 - OFF#c802b479d07373b20244ae19f9866d1b Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112624663 - 0049000004632 - OFF#781452f961918695196b160a130f121e Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112624656 - 0049000004632 - OFF#1aa11fccd73b2506297d35c05e25668c Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112620047 - 0049000004632 - OFF#5fa47b84809957c26b74ef2cf2ca3881 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112619997 - 0049000004632 - OFF#9c8fd611edcd6f445818d612e940ba65 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112619959 - 0049000004632 - OFF#044755b9424ce5ab97492747546a7707 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112634723 - 0049000004632 - OFF#4d069c23c7aaf392d5331bb6df53c608 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112619386 - 0049000004632 - OFF#9a6fb1fc814d8435a8012f445c5422a3 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112611878 - 0049000004632 - OFF#6cf84d5d85e9ef0f5c5592e371cf72a8 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112611748 - 0049000004632 - OFF#3da24a84935e71bf071d57cfe1811b6d Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112609691 - 0049000004632 - OFF#f8f46179d904948cee801fc72dce6f34 ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': "Ce matin j'ai bu un grand verre de coca.", 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Coca Cola', 'normName': ' coca cola ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#40538ecf4c32705b3b695d7a2d2b3611', 'quantity': 'un grand verre', 'quantityLem': '1 grand verre', 'pack': ['C50', 'C3B', 'C33', 'VX1', 'BI4', 'VA2', 'VA3', 'GOB'], 'type': 'beverage', 'gtin': '0049000004632', 'gtinRef': '0049000004632', 'brand': 'The Coca-Cola Company', 'time': '', 'event': 'declaration', 'serving': 'VX1-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.4207966327667236} ---------------------------------------------------------------------------------- LLM CPU Time: 2.4207966327667236