Input path: /home/debian/html/nutritwin/output_llm/685fc766585f6/input.json Output path: /home/debian/html/nutritwin/output_llm/685fc766585f6/output.json Input text: 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: ================================================================================================================================== Image to be analyzed: /home/debian/html/nutritwin/output_llm/685fc766585f6/capture.jpg ############################################################################################## # For image extraction, pixtral-large-2411 is used # ############################################################################################## ==================================== Prompt ============================================= In the image, identify all the foods and beverages, convert them into an array of JSON with consumed foods. Ignore what it is not connected to nutrition, beverage or food. When a food or a beverage has several instances unify them on a single food or beverage and add the quantities of each. The attribute name must remain in English but the result, so the attribute value, must be in french, and only in french. Provide a solution without explanation. Use only the food & beverage 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": "farfalle", "quantity": "une portion", "cookingMethod": "saut\u00e9", "type": "food", "event": "declaration" }, { "name": "tomates", "quantity": "plusieurs morceaux", "type": "food", "event": "declaration" }, { "name": "olives", "quantity": "plusieurs", "type": "food", "event": "declaration" }, { "name": "jambon", "quantity": "plusieurs morceaux", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "farfalle", "quantity": "une portion", "cookingMethod": "saut\u00e9", "type": "food", "event": "declaration" }, { "name": "tomates", "quantity": "plusieurs morceaux", "type": "food", "event": "declaration" }, { "name": "olives", "quantity": "plusieurs", "type": "food", "event": "declaration" }, { "name": "jambon", "quantity": "plusieurs morceaux", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "farfalle", "quantity": "une portion", "cookingMethod": "saut\u00e9", "type": "food", "event": "declaration" }, { "name": "tomates", "quantity": "plusieurs morceaux", "type": "food", "event": "declaration" }, { "name": "olives", "quantity": "plusieurs", "type": "food", "event": "declaration" }, { "name": "jambon", "quantity": "plusieurs morceaux", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'farfalle', 'quantity': 'une portion', 'cookingMethod': 'sauté', 'type': 'food', 'event': 'declaration'}, {'name': 'tomates', 'quantity': 'plusieurs morceaux', 'type': 'food', 'event': 'declaration'}, {'name': 'olives', 'quantity': 'plusieurs', 'type': 'food', 'event': 'declaration'}, {'name': 'jambon', 'quantity': 'plusieurs morceaux', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'farfalle', 'quantity': 'une portion', 'cookingMethod': 'sauté', '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 '% farfalle %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1175 seconds Word: Farfalle - dist: 0.27204564213752747 - row: 4856 Word: Farfalle 210 - dist: 0.43973779678344727 - row: 61040 Word: Mini Farfalle - dist: 0.4519176483154297 - row: 8399 Word: Pâtes Farfalle - dist: 0.45592865347862244 - row: 44881 Word: BIO Farfalle - dist: 0.4888342618942261 - row: 16978 Found embedding word: Farfalle Second try (embedded): 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_Name = 'Farfalle' ------------- Found solution (max 20) -------------- Farfalle - farfalle - - Panzani - 0 - 05818611 - 05818611 - OFF#6832939d5573d664d80fdc33bc524743 Farfalle - farfalle - - Carrefour - 0 - 3245390198884 - 3245390198884 - OFF#7965e1c59c7ef78a5c1be16c8503dd61 Farfalle - farfalle - - Auchan - 0 - 3254560044364 - 3254560044364 - OFF#e72bebf535bfab0ffe1905d636621491 Farfalle - farfalle - - Cora - 0 - 3257981177000 - 3257981177000 - OFF#bb5247978aa10282f6e5c1a254dba85b Farfalle - farfalle - - Franprix - 0 - 3263850563317 - 3263850563317 - OFF#5323f6d6a80ed1c68687aa4583bf64a3 Farfalle - farfalle - - Monoprix - 0 - 3350031613647 - 3350031613647 - OFF#60561357cd7f957602af9369a9cb586f Farfalle - farfalle - - Delhaize - 0 - 5400113531210 - 5400113531210 - OFF#1eafdb17f63c2bd395457a555fcbb57d Farfalle - farfalle - - Barilla - 0 - 8076808060654 - 8076808060654 - OFF#9f95ce13f0f596e847cb18ef2b31d4e2 Farfalle - farfalle - - Panzani - 0 - 10589319 - 05818611 - OFF#a088450d6504cc1f65fe601e6c3b237d Farfalle - farfalle - - Panzani - 0 - 3038359008283 - 05818611 - OFF#9a34757e3db255151b70f8a016e305f7 Farfalle - farfalle - - Panzani - 0 - 3038350269805 - 05818611 - OFF#e940a8abf12c0e8d306a6e9f14e98296 Farfalle - farfalle - - Panzani - 0 - 3038350259851 - 05818611 - OFF#26ce0797ef68544c5fb71871fc6a9a77 Farfalle - farfalle - - Panzani - 0 - 10714805 - 05818611 - OFF#ac3335f39449fc8cf2ada2d042dec783 Farfalle - farfalle - - Panzani - 0 - 3038350259806 - 05818611 - OFF#235f8b9bc28337e74acf3dc6c3323117 Farfalle - farfalle - - Panzani - 0 - 16651296 - 05818611 - OFF#70960db2fd619a5f38150fa6bd44e7da Farfalle - farfalle - - Carrefour - 0 - 3560070553990 - 3245390198884 - OFF#2dc32cf9e2d97a694ea6e3eba4fd04f2 Farfalle - farfalle - - Carrefour - 0 - 3560071252878 - 3245390198884 - OFF#f98f2eeb57bf95f38fb03014b8fb3685 Farfalle - farfalle - - Auchan - 0 - 3596710515707 - 3254560044364 - OFF#5dded77e4822c2e6d41edc666d69e41f Farfalle - farfalle - - Auchan - 0 - 3596710516131 - 3254560044364 - OFF#dc9c9399ecf5c2335db2cb02c0ac909c Farfalle - farfalle - - Franprix - 0 - 3263851164612 - 3263850563317 - OFF#10ef2c299e91fb22027194e34a95647c ---------------------------------------------------- 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 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 ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'tomates', 'quantity': 'plusieurs morceaux', '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 '% tomate %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Tomate - tomate - crue - - 50564 - - - CIQ#9019c33adc1aff1aeff07888f760e3dc Tomate - tomate - purée - - 0 - - - CIQ#98e08e3b00fecca745d7da29e1015a95 Tomate - tomate - pulpe - - 0 - - - CIQ#fd785fdebdb36567c615d2cf46456ffd Tomate - tomate - concentré - - 0 - - - CIQ#7020e6d5e5bd9e09aaa1661220ba09b7 Tomate - tomate - pelée, égouttée - - 0 - - - CIQ#e42ed02a1db9c324a72333e04d401dc1 Tomate - tomate - double concentré - - 0 - - - CIQ#316f9d6fdf5ec84b18998fae96416e09 Tomate - tomate - séchée, à l'huile - - 0 - - - CIQ#b7e1592c157fef2c1429cdc04e65f429 Tomate - tomate - rôtie/cuite au four - - 0 - - - CIQ#abc1ee10e1ef1b8d9ea01e5cf5081ac9 Tomate - tomate - pulpe et peau, rôtie/cuite au four - - 0 - - - CIQ#a670b9fa38af8c6557b321a08d7ab367 Tomate Ronde - tomate ronde - crue - - 0 - - - CIQ#684dc9134dc864e3c83f5330fa9965d4 Tomate Farcie - tomate farcie - - - 1889 - - - CIQ#6662d127dcc7f87a176e7cda4540b6d5 Tomate Cerise - tomate cerise - crue - - 0 - - - CIQ#9f76e2172737f480f1c9b66f3627bfb0 Tomate Grappe - tomate grappe - crue - - 0 - - - CIQ#2bdccc054e39de9382dcb2ff97b1204d Tomate Cerise - tomate cerise - tomate cerise - - 0 - - - KCA#fc7d1647e177b261c9a22262037f6216 Tomate Séchée - tomate sechee - tomate séchée - - 0 - - - KCA#1dfa8e1ad113a5175e6a3ba4bee46416 Tomates au Four - tomate four - au four - - 0 - - - KCA#7bd06a9534bdcb97e7af0143ac0124d5 Tomates Farcies - tomate farcie - tomates farcies - - 0 - - - KCA#6e01a7596f6a74b9bca3e51ca2721e81 Tomates Tartares - tomate tartare - tomates tartares - - 0 - - - KCA#e15190c59aa8508125d81de65be88670 Tomate Concentrée - tomate concentree - tomate concentrée - - 0 - - - KCA#22854ad0ad81beeccc0841c1f0c5d66c Tomates Provençales - tomate provencale - tomates provençales - - 0 - - - KCA#799358a4b450be03bfd4014d3908c6dc ---------------------------------------------------- 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 ----------- result to be analyzed ----------- {'name': 'olives', 'quantity': 'plusieurs', '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 '% olive %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Olive - olive - - - 0 - - - CIQ#e930eba2417afe8e937c65526d252663 Olive Verte - olive verte - en saumure, égouttée - - 0 - - - CIQ#447c6790511a37978ebd415e44c06a3d Olive Noire - olive noire - à l'huile, à la grecque - - 0 - - - CIQ#972254b7dd363b013d44747003b87b69 Huile d'Olive - huile olive - - - 31593 - - - KCA#e3401b8ad72802d4269691213bebe06d Huile d'Olive Vierge Extra - huile olive vierge extra - - - 0 - - - CIQ#0dd5134f977ccd585a472259c8513ae6 Riz aux Olives et aux Poivrons - riz au olive au poivron - - - 19 - - - KCA#f9dde3013dc9afd5a09f22f1627c7250 Lieu aux Olives - lieu au olive - - - 46 - - - KCA#be860f9771906feb7f46d41e9d0410e1 Canard aux Olives Vertes - canard au olive verte - - - 6 - - - KCA#dcebad0868aa8dbb180dead0fcddf6fe Canard aux Olives Noires - canard au olive noire - - - 4 - - - KCA#1709c903a5fd933fc49f8a0d198c608d Thon à l'Huile d'Olive - thon huile olive - l'huile d'olive - - 0 - - - KCA#d33c1882fa02cd9006589b140511fb8b Tournedos aux Olives - tournedo au olive - aux olives - - 0 - - - KCA#2f8ab7ae92033c2df8314dbdeb3954ca Faux Filet aux Olives - fau filet au olive - - - 7 - - - KCA#c2c900bb0db88deb51bfd2e2e69f1c7f Pain de Viande aux Olives - pain de viande au olive - - - 73 - - - KCA#b8e014029af6be435b7b988b0d798795 Boeuf en Daube aux Olives - boeuf en daube au olive - - - 20 - - - KCA#dcdaea60d96e6b653c6c1bb573beca53 ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'jambon', 'quantity': 'plusieurs morceaux', '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 '% jambon %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Jambon Cru - jambon cru - - - 9885 - - - CIQ#64b8482a5f9494f91650a6dfbb0cd41e Jambon Sec - jambon sec - - - 0 - - - CIQ#96c8fe38103fc721a15cfe55d6e25c6f Jambon Cru - jambon cru - fumé - - 268 - - - CIQ#5f3f73264b7c8e8500821bffaac09aee Jambon Sec - jambon sec - découenné, dégraissé - - 293 - - - CIQ#25959c69f01c1f2120ccc677017fa727 Jambon Cru - jambon cru - fumé, allégé en matière grasse - - 0 - - - CIQ#f647a53f900ffb0f8b6bcc1b9daac3fd Jambon Fumé - jambon fume - - - 1235 - - - KCA#b89a3b14af6277985c3d77e8a43fd3a7 Jambon Cuit - jambon cuit - fumé - - 130 - - - CIQ#17ca7e15b0319f1e287cbd0bcf02e149 Jambon Cuit - jambon cuit - choix - - 0 - - - CIQ#31a3ba17bd765304c35083900245a906 Jambon Cuit - jambon cuit - supérieur - - 879 - - - CIQ#62b09fb38df99e94d05d097272b0f943 Jambon Cuit - jambon cuit - choix, avec couenne - - 0 - - - CIQ#c197beb44fda0f03581cdd01ee751078 Jambon Cuit - jambon cuit - supérieur, découenné - - 0 - - - CIQ#a4feb0298e2ed9bf7086021f843d5542 Jambon Cuit - jambon cuit - supérieur, avec couenne - - 0 - - - CIQ#44f954aa2607fc98de99e42c7a2f34f0 Jambon Cuit - jambon cuit - choix, découenné dégraissé - - 0 - - - CIQ#1bdbfa77737e32f3afd8b85235c13da8 Jambon Cuit - jambon cuit - de Paris, découenné dégraissé - - 0 - - - CIQ#2204461860d60e77475581012d525590 Jambon Cuit - jambon cuit - supérieur, découenné dégraissé - - 0 - - - CIQ#7fe80de772280767444b552c0124ab0f Jambon Cuit - jambon cuit - supérieur, à teneur réduite en sel - - 0 - - - CIQ#f6e3b7457066170ebc96fe96171fba23 Jambon Blanc - jambon blanc - - - 41088 - - - KCA#a2c3580fad4917288fe40406fb88cadb Jambon Bayonne - jambon bayonne - - - 2108 - - - KCA#a7501ed926d61fc6282a9dc417593554 Jambon Persillé - jambon persille - - - 315 - - - KCA#a68e12a46f2795c6c267b411dd8111f4 Jambon de Poulet - jambon de poulet - - - 5421 - - - KCA#8a8c7fe60575ff37bd0a2f58c58a75a0 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/685fc766585f6/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Farfalle', 'normName': ' farfalle ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#6832939d5573d664d80fdc33bc524743', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['NO2.w150'], 'type': 'food', 'gtin': '05818611', 'gtinRef': '05818611', 'brand': 'Panzani', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Tomate', 'normName': ' tomate ', 'comment': 'crue', 'normComment': ' crue ', 'rank': 50564, 'id': 'CIQ#9019c33adc1aff1aeff07888f760e3dc', 'quantity': 'plusieurs morceaux', 'quantityLem': 'plusieur morceau', 'pack': ['TOM.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Olive', 'normName': ' olive ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'CIQ#e930eba2417afe8e937c65526d252663', 'quantity': 'plusieurs', 'quantityLem': 'plusieur', 'pack': ['UN2.w4'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Jambon Cru', 'normName': ' jambon cru ', 'comment': '', 'normComment': '', 'rank': 9885, 'id': 'CIQ#64b8482a5f9494f91650a6dfbb0cd41e', 'quantity': 'plusieurs morceaux', 'quantityLem': 'plusieur morceau', 'pack': ['TR3.w25'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 5.941629886627197} ---------------------------------------------------------------------------------- LLM CPU Time: 5.941629886627197