Input path: /home/debian/html/nutritwin/output_llm/682a0e189566a/input.json Output path: /home/debian/html/nutritwin/output_llm/682a0e189566a/output.json Input text: J'ai mangé du saumon avec des pommes de terre. 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: J'ai mangé du saumon avec des pommes de terre. ================================================================================================================================== ==================================== Prompt ============================================= Identify in this list of intents: ["Identify food and beverage consumption or declaration", "Identify the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###J'ai mangé du saumon avec des pommes de terre.###. Format the result in JSON format: {"intents": []}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- {"intents": ["Identify food and beverage consumption or declaration"]} ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ {"intents": ["Identify food and beverage consumption or declaration"]} ------------------------------------------------------ ERROR: wrong object representation: {'intents': ['Identify food and beverage consumption or declaration']} ------------------------ After simplification ------------------------ { "intents": [ "Identify food and beverage consumption or declaration" ] } ---------------------------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """J'ai mangé du saumon avec des pommes de terre.""" into an array of JSON. Ignore what it is not connected to nutrition, beverage or food. Provide a solution without explanation. Use the following ontology and only this 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...). Ignore food or beverage when it is not consumed in the past, now or in the future. The cooking mode is not in the name. The name is only in french."""@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 is only in french. Here are examples: '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. The cooking method is in french."@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 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. 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. """ Here is an example of result: [ { "name": "blanquette de veau", "quantity": "un plat", "cookingMethod": "mijot\u00e9", "timeOfTheDay": "lunch", "company": "Leclerc", "type": "food", "event": "declaration" }, { "name": "eau", "brand": "Evian", "company": "Danone", "timeOfTheDay": "breakfast", "quantity": "un verre", "type": "beverage", "event": "intent" } ] ========================================================================================= ------------------------------ LLM Raw response ----------------------------- [ { "name": "saumon", "quantity": "un", "timeOfTheDay": "unknown", "type": "food", "event": "declaration" }, { "name": "pommes de terre", "quantity": "des", "timeOfTheDay": "unknown", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "saumon", "quantity": "un", "timeOfTheDay": "unknown", "type": "food", "event": "declaration" }, { "name": "pommes de terre", "quantity": "des", "timeOfTheDay": "unknown", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "saumon", "quantity": "un", "timeOfTheDay": "unknown", "type": "food", "event": "declaration" }, { "name": "pommes de terre", "quantity": "des", "timeOfTheDay": "unknown", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'saumon', 'quantity': 'un', 'timeOfTheDay': 'unknown', 'type': 'food', 'event': 'declaration'}, {'name': 'pommes de terre', 'quantity': 'des', 'timeOfTheDay': 'unknown', 'type': 'food', 'event': 'declaration'}], 'cost': 0.10488} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'saumon', 'quantity': 'un', 'timeOfTheDay': 'unknown', 'type': 'food', '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 '% saumon %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Saumon - saumon - égoutté - - 0 - - - CIQ#ade5613634b5a98b355d2c160ba92b11 Saumon - saumon - à la vapeur - - 0 - - - CIQ#b3e9314258a5f523753d1b3e0d81792c Saumon - saumon - grillé/poêlé - - 0 - - - CIQ#1bbf5286767c3e0c44876a767787d000 Saumon - saumon - cru, sauvage - - 0 - - - CIQ#51feba31b17547b9137b71eb7226a8dd Saumon - saumon - cru, élevage - - 0 - - - CIQ#c8287362ac00c89902eae000e0e4c124 Saumon - saumon - aliment moyen - - 0 - - - CIQ#ff1666b2df4b9989f1a9c6b0a02dc93c Saumon - saumon - au micro-ondes, élevage - - 0 - - - CIQ#cc11fcd15c72c773b82b192e8887e23a Saumon - saumon - élevage, rôti/cuit au four - - 0 - - - CIQ#84a9c51768b4de88e909ecdf0067a966 Saumon - saumon - bouilli/cuit à l'eau, élevage - - 0 - - - CIQ#f55d77c458b7370f03d90ab21a698aaf Saumon Fumé - saumon fume - - - 11676 - - - CIQ#d8453997de6adf67fd709f2e16e4a09f Saumon Farci - saumon farci - - - 0 - - - CIQ#61af7b646d375a64a8af54fa22cd3709 Saumon à l'Oseille - saumon oseille - - - 7 - - - CIQ#78f9c8ecc76216402bd6d82a033010c5 Maki Saumon - maki saumon - - - 1080 - - - KCA#3ac315133b892d2a4629a1ab26c48768 Maki Saumon Avocat - maki saumon avocat - - - 861 - - - KCA#725e4073ccaee17f4a77ab78eb5b90a5 Sushi Saumon - sushi saumon - sushi saumon - - 0 - - - KCA#f366d90248edc0d02f459cc18228171a Tarte au Saumon - tarte saumon - - - 0 - - - CIQ#df3d146a0b5d8475bb92ccfb839aa962 Pizza au Saumon - pizza saumon - - - 0 - - - CIQ#531c0deee226a1ed25c6ad7e9344ecef Röstis au Saumon Fumé - rosti saumon fume - - - 12 - - - KCA#14382263fff55c2e867e77149a5dc44e Tarte Saumon et Oseille - tarte saumon oseille - et oseille - - 0 - - - KCA#4c90651bf0030bf66a4324b273991f08 Pavé de Saumon - pave de saumon - - - 9408 - - - KCA#65b031a28707cc1cba8900c617fd1e01 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'pommes de terre', 'quantity': 'des', 'timeOfTheDay': 'unknown', 'type': 'food', '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 '% pomme de terre %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Pomme de Terre - pomme de terre - égouttée - - 26541 - - - CIQ#bbc0fd1495ed69b7aadd91d1d9b9ae69 Pomme de Terre - pomme de terre - aliment moyen - - 0 - - - CIQ#15f690b8140afc79288abfb96a139095 Pomme de Terre - pomme de terre - sans peau, crue - - 0 - - - CIQ#9d1dc4d850cf0a126428e8235097b299 Pomme de Terre - pomme de terre - rôtie/cuite au four - - 0 - - - CIQ#73642ae51d1ceb413f96f404c2e8fcc5 Pomme de Terre - pomme de terre - purée, aliment moyen - - 0 - - - CIQ#20c56d85dc4d344fdfb3594d5e93f5ff Pomme de Terre - pomme de terre - bouillie/cuite à l'eau - - 0 - - - CIQ#6997e933cb8bbe4ad6fb62b2f04c05c2 Pomme de Terre - pomme de terre - sans peau, rôtie/cuite au four - - 0 - - - CIQ#7c973fe7644a5cc7a5e1ac7f7690f91c Pomme de Terre - pomme de terre - purée, avec lait et beurre, non salée - - 54 - - - CIQ#f6d85f887fb7a88d451e7d1390b123ee Pomme de Terre - pomme de terre - flocons déshydratés, au lait ou à la crème - - 0 - - - CIQ#1450a8209d87032018367a76931b19ad Pomme de Terre - pomme de terre - purée à base de flocons, reconstituée avec lait entier, matière grasse - - 0 - - - CIQ#e310092ee2308f72f5d4eb70daa82fbc Pomme de Terre - pomme de terre - purée à base de flocons, reconstituée avec lait demi-écrémé et eau, non salée - - 0 - - - CIQ#3b12d13dfd318911c754bcb37b7b05ab Pomme de Terre Anna - pomme de terre anna - - - 43 - - - KCA#96fe2fadd9f331eb4549227f2e4a6267 Pomme de Terre Chips - pomme de terre chip - - - 42 - - - KCA#1deb7b7eab80f8586099ee58a6db9ea2 Pomme de Terre Purée - pomme de terre puree - - - 40 - - - KCA#0d4cd5387a20885448dbbf1f634017b3 Pomme de Terre Byron - pomme de terre byron - - - 4 - - - KCA#244d59f3080438c8160682d32b6ff789 Pomme de Terre Rôties - pomme de terre rotie - - - 1077 - - - KCA#797b578eb598e7082faea0ae30d34021 Pomme de Terre Frites - pomme de terre frite - - - 178 - - - KCA#d9391c743d3aee9e28d0940b17624718 Pomme de Terre Vapeur - pomme de terre vapeur - sous vide - - 0 - - - CIQ#d52218f9e63c6cb0bf8151b244a71afd Pomme de Terre Poêlée - pomme de terre poelee - avec matière grasse - - 0 - - - CIQ#b717c125ad32aa35b8cd673ba48f8c60 Pomme de Terre Sautées - pomme de terre sautee - - - 5854 - - - KCA#7e685fe608808c6ddb2b7b1edab93c82 ---------------------------------------------------- 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 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 ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': "J'ai mangé du saumon avec des pommes de terre.", 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify food and beverage consumption or declaration'], 'solutions': {'nutrition': [{'name': 'Saumon', 'normName': ' saumon ', 'comment': 'égoutté', 'normComment': ' egoutte ', 'rank': 0, 'id': 'CIQ#ade5613634b5a98b355d2c160ba92b11', 'quantity': 'un', 'quantityLem': '1', 'pack': ['PAV.w200'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'unknown', 'event': 'declaration', 'serving': 'PAV-100', 'posiNormName': 0}, {'name': 'Pomme de Terre', 'normName': ' pomme de terre ', 'comment': 'égouttée', 'normComment': ' egouttee ', 'rank': 26541, 'id': 'CIQ#bbc0fd1495ed69b7aadd91d1d9b9ae69', 'quantity': 'des', 'quantityLem': 'des', 'pack': ['PDT.w120'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'unknown', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.1291415691375732} ---------------------------------------------------------------------------------- LLM CPU Time: 3.1291415691375732