Input path: /home/debian/html/nutritwin/output_llm/66e00569351e8/input.json Output path: /home/debian/html/nutritwin/output_llm/66e00569351e8/output.json Input text: Ce matin j'ai mangé 150 g de pain de mie et bu un expresso 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 mangé 150 g de pain de mie et bu un expresso ================================================================================================================================== ==================================== 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 mangé 150 g de pain de mie et bu un expresso###. 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 mangé 150 g de pain de mie et bu un expresso""" 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": "pain de mie", "quantity": "150 g", "type": "food", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" }, { "name": "expresso", "quantity": "un", "type": "beverage", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "pain de mie", "quantity": "150 g", "type": "food", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" }, { "name": "expresso", "quantity": "un", "type": "beverage", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "pain de mie", "quantity": "150 g", "type": "food", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" }, { "name": "expresso", "quantity": "un", "type": "beverage", "time of the day": "breakfast", "event": "declaration", "brand": "", "company": "", "cooking method": "" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'pain de mie', 'quantity': '150 g', 'type': 'food', 'time of the day': 'breakfast', 'event': 'declaration', 'brand': '', 'company': '', 'cooking method': ''}, {'name': 'expresso', 'quantity': 'un', 'type': 'beverage', 'time of the day': 'breakfast', 'event': 'declaration', 'brand': '', 'company': '', 'cooking method': ''}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'pain de mie', 'quantity': '150 g', 'type': 'food', 'time of the day': 'breakfast', 'event': 'declaration', 'brand': '', 'company': '', 'cooking method': ''} 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 '% pain de mie %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Pain de Mie - pain de mie - au son - - 0 - - - CIQ#1f8d06921f1e892824b0f8cef870e840 Pain de Mie - pain de mie - complet - - 7211 - - - CIQ#d93405497d2314d29dbd770c5b956eeb Pain de Mie - pain de mie - courant - - 0 - - - CIQ#667832b5357e637fdb28760b7d6c2d8d Pain de Mie - pain de mie - sans croûte - - 32 - - - CIQ#be3f663945b51703d39413cadc3becab Pain de Mie - pain de mie - multicéréale - - 0 - - - CIQ#1a7f6353f1d198d63d9190f20bf65b94 Pain de Mie BIO - pain de mie bio - - - 573 - - - KCA#de7cb7a29dddd397d84bb63484176775 Pain de Mie Brioché - pain de mie brioche - - - 39 - - - CIQ#43270a90a216c85ab3a94ad1e1b540dc Pain de Mie Complet - pain de mie complet - - - 0 - - - KCA#1f762b65417f3922103fbe02a3d22d58 Pain de Mie Blanc Complet - pain de mie blanc complet - - - 185 - - - KCA#eb6f24aca02b0ede670860dc4e4684bd Sandwich Pain de Mie - sandwich pain de mie - garnitures diverses - - 0 - - - CIQ#8af1bc20920d41ac8b1895bc748ebd00 Sandwich Pain de Mie Complet - sandwich pain de mie complet - jambon, fromage - - 0 - - - CIQ#49b8cf6a14f0f9cfd1f8e4600f5de165 Sandwich Pain de Mie Complet - sandwich pain de mie complet - thon, crudités, mayonnaise - - 0 - - - CIQ#49e46e93f6417859429add73e5ccb6bd Sandwich Pain de Mie Complet - sandwich pain de mie complet - poulet, crudités, mayonnaise - - 0 - - - CIQ#f4eecdeef4880cb180975eb8b0af38bc Sandwich Pain de Mie Complet - sandwich pain de mie complet - jambon, crudités, fromage optionnel - - 0 - - - CIQ#fd8d57dae2cac42db713e068a5372f67 ---------------------------------------------------- ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'expresso', 'quantity': 'un', 'type': 'beverage', 'time of the day': 'breakfast', 'event': 'declaration', 'brand': '', 'company': '', 'cooking method': ''} 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 '% expresso %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Café Expresso - cafe expresso - non instantané, non sucré, prêt à boire - - 5358 - - - CIQ#71484d6749acf1476e8d6abb42471db7 ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': "Ce matin j'ai mangé 150 g de pain de mie et bu un expresso", 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Pain de Mie', 'normName': ' pain de mie ', 'comment': 'au son', 'normComment': ' son ', 'rank': 0, 'id': 'CIQ#1f8d06921f1e892824b0f8cef870e840', 'quantity': '150 g', 'quantityLem': '150 g', 'pack': ['TR1.w20'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Café Expresso', 'normName': ' cafe expresso ', 'comment': 'non instantané, non sucré, prêt à boire', 'normComment': ' non instantane non sucre pret boire ', 'rank': 5358, 'id': 'CIQ#71484d6749acf1476e8d6abb42471db7', 'quantity': 'un', 'quantityLem': '1', 'pack': ['TA2', 'TA3'], 'type': 'beverage', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'TA2-100', 'posiNormName': 5}], 'activity': [], 'response': {}}, 'cputime': 2.6958909034729004} ---------------------------------------------------------------------------------- LLM CPU Time: 2.6958909034729004