Input path: /home/debian/html/nutritwin/output_llm/6728f9008c617/input.json Output path: /home/debian/html/nutritwin/output_llm/6728f9008c617/output.json Input text: À midi j'ai mangé un tartare de boeuf avec des frites surgelées et deux verres de vin rosé. 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: À midi j'ai mangé un tartare de boeuf avec des frites surgelées et deux verres de vin rosé. ================================================================================================================================== ==================================== 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: ###À midi j'ai mangé un tartare de boeuf avec des frites surgelées et deux verres de vin rosé.###. 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 : """À midi j'ai mangé un tartare de boeuf avec des frites surgelées et deux verres de vin rosé.""" 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": "tartare de boeuf", "quantity": "un", "cookingMethod": "", "type": "food", "timeOfTheDay": "lunch", "brand": "", "company": "", "event": "declaration" }, { "name": "frites", "quantity": "", "cookingMethod": "surgelées", "type": "food", "timeOfTheDay": "lunch", "brand": "", "company": "", "event": "declaration" }, { "name": "vin rosé", "quantity": "deux verres", "cookingMethod": "", "type": "beverage", "timeOfTheDay": "lunch", "brand": "", "company": "", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "tartare de boeuf", "quantity": "un", "cookingMethod": "", "type": "food", "timeOfTheDay": "lunch", "brand": "", "company": "", "event": "declaration" }, { "name": "frites", "quantity": "", "cookingMethod": "surgelées", "type": "food", "timeOfTheDay": "lunch", "brand": "", "company": "", "event": "declaration" }, { "name": "vin rosé", "quantity": "deux verres", "cookingMethod": "", "type": "beverage", "timeOfTheDay": "lunch", "brand": "", "company": "", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "tartare de boeuf", "quantity": "un", "cookingMethod": "", "type": "food", "timeOfTheDay": "lunch", "brand": "", "company": "", "event": "declaration" }, { "name": "frites", "quantity": "", "cookingMethod": "surgelées", "type": "food", "timeOfTheDay": "lunch", "brand": "", "company": "", "event": "declaration" }, { "name": "vin rosé", "quantity": "deux verres", "cookingMethod": "", "type": "beverage", "timeOfTheDay": "lunch", "brand": "", "company": "", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'tartare de boeuf', 'quantity': 'un', 'cookingMethod': '', 'type': 'food', 'timeOfTheDay': 'lunch', 'brand': '', 'company': '', 'event': 'declaration'}, {'name': 'frites', 'quantity': '', 'cookingMethod': 'surgelées', 'type': 'food', 'timeOfTheDay': 'lunch', 'brand': '', 'company': '', 'event': 'declaration'}, {'name': 'vin rosé', 'quantity': 'deux verres', 'cookingMethod': '', 'type': 'beverage', 'timeOfTheDay': 'lunch', 'brand': '', 'company': '', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'tartare de boeuf', 'quantity': 'un', 'cookingMethod': '', 'type': 'food', 'timeOfTheDay': 'lunch', 'brand': '', 'company': '', '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 '% tartare de boeuf %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Tartare de Bœuf - tartare de boeuf - - - 4 - - - KCA#1da8d5c8771604408cee64419b30b389 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'frites', 'quantity': '', 'cookingMethod': 'surgelées', 'type': 'food', 'timeOfTheDay': 'lunch', 'brand': '', 'company': '', '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 '% frite %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Frites 'Maison' - frite maison - - - 3422 - - - KCA#6ec1e15ff73bcad3fbd051039b73bfa2 Frites de Pommes de Terre - frite de pomme de terre - surgelées, en friteuse - - 16744 - - - CIQ#0c4d57d24137dff14aa6bf376be13ca2 Frites de Pommes de Terre - frite de pomme de terre - surgelées, rôties/cuites au four - - 0 - - - CIQ#571d6b6d0f633390e25650e96b014751 Frites de Pommes de Terre - frite de pomme de terre - surgelées, préfrites, pour cuisson en friteuse - - 0 - - - CIQ#21ddc69ae4c8625a72bf312be19b18c3 Frites de Pommes de Terre - frite de pomme de terre - surgelées, préfrites, pour cuisson micro-ondes - - 0 - - - CIQ#c18841fb320bbdc344009a2125172a51 Frites de Pommes de Terre - frite de pomme de terre - surgelées, préfrites, pour cuisson rôtie/ au four - - 0 - - - CIQ#2b65d7822d2029d73d7a8cdadd16e13a Frites Surgelées à Cuire au Four - frite surgelee cuire four - - - 152 - - - KCA#794e98f1683c35824e6507d3fe252634 Steak Frites - steak frite - steak frites - - 0 - - - KCA#7b6b2abd661e1054cfba0cf998b2743f Morue Frite à la Toulonnaise - morue frite toulonnaise - - - 16 - - - KCA#bd216e7cd84a2d4d1a581f9eb62190e3 Courgettes Frites - courgette frite - - - 207 - - - KCA#959d0fa787188921ad4497a575b243ab Limande Panée Frite - limande panee frite - - - 107 - - - KCA#2c105974e5192e41d62c0780e57f7604 Pomme de Terre Frites - pomme de terre frite - - - 178 - - - KCA#d9391c743d3aee9e28d0940b17624718 Pomme de Terre Frites Cuites Non Salée - pomme de terre frite cuite non salee - - - 23 - - - KCA#f19fd72e799df4bd4db76e1e319135fd Langoustine, Panée, Frite - langoustine panee frite - - - 7 - - - KCA#f3292cd52902facb04347cf1a7282593 ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'vin rosé', 'quantity': 'deux verres', 'cookingMethod': '', 'type': 'beverage', 'timeOfTheDay': 'lunch', 'brand': '', 'company': '', '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 '% vin rose %' 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 '% vin rose %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- Vin Rosé Les Oliviers Côtes de Provence - vin rose le olivier cote de provence - - Les Mousquetaires - 0 - 3760033590158 - 3760033590158 - OFF#ea1fed2b694c93a5112ee9c79f4bde6e Vin Rosé Igp Ardèche Syrah Grande Réserve - vin rose igp ardeche syrah grande reserve - - U - 0 - 3368957872819 - 3368957872819 - OFF#27066d185df20fd1b4a559ef68105b0b ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': "À midi j'ai mangé un tartare de boeuf avec des frites surgelées et deux verres de vin rosé.", 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Tartare de Bœuf', 'normName': ' tartare de boeuf ', 'comment': '', 'normComment': '', 'rank': 4, 'id': 'KCA#1da8d5c8771604408cee64419b30b389', 'quantity': 'un', 'quantityLem': '1', 'pack': ['FLA.w250'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'lunch', 'event': 'declaration', 'serving': 'FLA-100', 'posiNormName': 0}, {'name': "Frites 'Maison'", 'normName': ' frite maison ', 'comment': '', 'normComment': '', 'rank': 3422, 'id': 'KCA#6ec1e15ff73bcad3fbd051039b73bfa2', 'quantity': '', 'quantityLem': '', 'pack': ['FRI.w200', 'APL.w200'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'lunch', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Vin Rosé Les Oliviers Côtes de Provence', 'normName': ' vin rose le olivier cote de provence ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#ea1fed2b694c93a5112ee9c79f4bde6e', 'quantity': 'deux verres', 'quantityLem': '2 verre', 'pack': ['VAD', 'VAV', 'VAE'], 'type': 'beverage', 'gtin': '3760033590158', 'gtinRef': '3760033590158', 'brand': 'Les Mousquetaires', 'time': 'lunch', 'event': 'declaration', 'serving': 'VAD-200', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.396239995956421} ---------------------------------------------------------------------------------- LLM CPU Time: 4.396239995956421