Input path: /home/debian/html/nutritwin/output_llm/681a96117e4de/input.json Output path: /home/debian/html/nutritwin/output_llm/681a96117e4de/output.json Input text: Hier après-midi j'ai mangé du steak avec un peu de riz. 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: Hier après-midi j'ai mangé du steak avec un peu de riz. ================================================================================================================================== ==================================== 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: ###Hier après-midi j'ai mangé du steak avec un peu de riz.###. 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 : """Hier après-midi j'ai mangé du steak avec un peu de riz.""" 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": "steak", "quantity": "un", "timeOfTheDay": "lunch", "type": "food", "event": "declaration" }, { "name": "riz", "quantity": "un peu", "timeOfTheDay": "lunch", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "steak", "quantity": "un", "timeOfTheDay": "lunch", "type": "food", "event": "declaration" }, { "name": "riz", "quantity": "un peu", "timeOfTheDay": "lunch", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "steak", "quantity": "un", "timeOfTheDay": "lunch", "type": "food", "event": "declaration" }, { "name": "riz", "quantity": "un peu", "timeOfTheDay": "lunch", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'steak', 'quantity': 'un', 'timeOfTheDay': 'lunch', 'type': 'food', 'event': 'declaration'}, {'name': 'riz', 'quantity': 'un peu', 'timeOfTheDay': 'lunch', 'type': 'food', 'event': 'declaration'}], 'cost': 0.10475999999999999} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'steak', 'quantity': 'un', 'timeOfTheDay': 'lunch', '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 '% steak %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Steak Haché - steak hache - steak haché - - 0 - - - KCA#959303ed3534b9c5c79e9cca14656f10 Steak Frites - steak frite - steak frites - - 0 - - - KCA#7b6b2abd661e1054cfba0cf998b2743f Steak Tartare - steak tartare - steak tartare - - 0 - - - KCA#29aaa8b84a31087d75f26561ccdc14d4 Steaks au Gril - steak gril - au gril - - 0 - - - KCA#3b554c54a99250dd14e7f7beb6840ea2 Steaks au Pâté - steak pate - au pâté - - 0 - - - KCA#e67f6278eeeb196770fd211ba8e39a34 Steak de Cheval - steak de cheval - de cheval - - 0 - - - KCA#fd10585bb79b2d80eefb0c7d44e76ac7 Steaks Surprise - steak surprise - steaks surprise - - 0 - - - KCA#f17c472f0893b03b661e25e337999a84 Steaks au Poivre - steak poivre - au poivre - - 0 - - - KCA#a76b8f4a99aaed361fde5a9105f170f5 Steaks à la Poêle - steak poele - la poêle - - 0 - - - KCA#baa104693789658a9dc1a26180899e95 Steaks au Raifort - steak raifort - au raifort - - 0 - - - KCA#5d6b0f4fe3d22c1d84512f5ec7375b57 Steaks au Barbecue - steak barbecue - au barbecue - - 0 - - - KCA#c86a0ddc53b32e8603d830019d5f0567 Steaks au Vermouth - steak vermouth - au vermouth - - 0 - - - KCA#1c9b93640859643010b85eb2d2f5734b Steak Haché de Veau - steak hache de veau - de veau - - 0 - - - KCA#b2ad2dc15a31de3a5e4c82f59493b374 Steak Dans la Poire - steak dan poire - la poire - - 0 - - - KCA#9469b83779e8c6f8243a8fc4d7ec1033 Steaks Sauce Persil - steak sauce persil - sauce persil - - 0 - - - KCA#6524592e1b23ceffe76c9e0ff784370d Steaks Sautés au Vin - steak saute vin - au vin - - 0 - - - KCA#3830e269f3a7cb20f83532fcaf5e9610 Steak Haché Pur Boeuf - steak hache pur boeuf - cru 5% MG - - 503 - - - KCA#938fbe35bce49b6b3be37bd88dd8dbda Steak Haché Pur Boeuf - steak hache pur boeuf - cru 15% MG - - 976 - - - KCA#c535c91b3321042c8f4db636820e9bec Steak Haché Pur Boeuf - steak hache pur boeuf - cuit 5% MG - - 346 - - - KCA#204bae7f16652a41d4ce4eb14e3b7c2a Steak Haché Pur Boeuf - steak hache pur boeuf - cru 10% MG - - 35 - - - KCA#76f5adade8613cd175ce7fe7a4571b4e ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'riz', 'quantity': 'un peu', 'timeOfTheDay': 'lunch', '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 '% riz %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Riz - riz - mélange de variétés, blanc, complet, rouge, sauvage,., cru - - 0 - - - CIQ#a07819c9749e64bb8fdf05c82933f975 Riz Thaï - riz thai - non salé - - 0 - - - CIQ#ac2fd71ae23ef149ca342c965d560af3 Riz Sauté - riz saute - - - 1630 - - - KCA#8a7c81299be0e4a1d8a5d55c311ac357 Riz Blanc - riz blanc - cru - - 0 - - - CIQ#5e08f294c544b6dbc1ee7d37a7eb2c96 Riz Rouge - riz rouge - cru - - 0 - - - CIQ#e52c512dd7f9b51c90d048e5efeec56e Riz Blanc - riz blanc - non salé - - 16469 - - - CIQ#f9b73aa60d2f7f559fce98ce3ac5c13c Riz Rouge - riz rouge - non salé - - 0 - - - CIQ#82ae14b06516b5eb3b26a705dcb698a3 Riz Blanc - riz blanc - avec poulet - - 0 - - - CIQ#c71662da3d045e64e316f472d5abd627 Riz Jaune - riz jaune - au lait de Coco - - 54 - - - KCA#fce436115e06eeddfc6a6bb946a77317 Riz Blanc - riz blanc - avec légumes et viande - - 0 - - - CIQ#e80ff9a7c8bfefe077463eba05d7d873 Riz Pilaf - riz pilaf - aux Asperges et aux Champignons - - 148 - - - KCA#51cb6cbdd6b1d60180e4df36e1900396 Riz Gluant - riz gluant - - - 670 - - - KCA#a9f8450583c586dd97516af4daa68d98 Riz Jasmin - riz jasmin - - - 515 - - - KCA#82f0e631fc5d3feb05f2cb82664429d4 Riz au Lait - riz lait - - - 2141 - - - CIQ#708312da229435845a51dc66016ac5dc Riz Complet - riz complet - cru - - 3 - - - CIQ#64df585ce75d5d905c4e92be834170a5 Riz Sauvage - riz sauvage - cru - - 0 - - - CIQ#65668baead4ceadf6f8269416ce5cef5 Riz Basmati - riz basmati - non salé - - 0 - - - CIQ#1145ed25cb9fd225c13765c6cee54de3 Riz Complet - riz complet - non salé - - 0 - - - CIQ#d99bd2e9a1547db20db6b79a89c0c3c9 Riz Sauvage - riz sauvage - non salé - - 0 - - - CIQ#c0c548033695d9c3adf24102b29dcb1b Riz au Coco - riz coco - au Poivron et à la Coriandre - - 95 - - - KCA#652179cc35ad46dc7fb28650f7f7d732 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': "Hier après-midi j'ai mangé du steak avec un peu de riz.", 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify food and beverage consumption or declaration'], 'solutions': {'nutrition': [{'name': 'Steak Haché', 'normName': ' steak hache ', 'comment': 'steak haché', 'normComment': ' steak hache ', 'rank': 0, 'id': 'KCA#959303ed3534b9c5c79e9cca14656f10', 'quantity': 'un', 'quantityLem': '1', 'pack': ['STH.w100', 'ST2.w100'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'lunch', 'event': 'declaration', 'serving': 'STH-100', 'posiNormName': 0}, {'name': 'Riz', 'normName': ' riz ', 'comment': 'mélange de variétés, blanc, complet, rouge, sauvage,., cru', 'normComment': ' melange de variete blanc complet rouge sauvage cru ', 'rank': 0, 'id': 'CIQ#a07819c9749e64bb8fdf05c82933f975', 'quantity': 'un peu', 'quantityLem': '1 peu', 'pack': ['BOR.w200', 'CSS.w20'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'lunch', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.613668203353882} ---------------------------------------------------------------------------------- LLM CPU Time: 2.613668203353882