Input path: /home/debian/html/nutritwin/output_llm/670bdf777795b/input.json Output path: /home/debian/html/nutritwin/output_llm/670bdf777795b/output.json Input text: Sauce nem autour du 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: Sauce nem autour du riz. ================================================================================================================================== ==================================== 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: ###Sauce nem autour du riz.###. 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 : """Sauce nem autour du riz.""" 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": "Sauce nem", "type": "food", "event": "declaration" }, { "name": "riz", "type": "food", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "Sauce nem", "type": "food", "event": "declaration" }, { "name": "riz", "type": "food", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Sauce nem", "type": "food", "event": "declaration" }, { "name": "riz", "type": "food", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Sauce nem', 'type': 'food', 'event': 'declaration'}, {'name': 'riz', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'Sauce nem', '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 '% sauce nem %' 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 '% sauce nem %' AND V_NormTrademark LIKE '%%' ------------- Found solution (max 20) -------------- Sauce Nems - sauce nem - - U - 0 - 3256225269020 - 3256225269020 - OFF#50fafcd046ee86d89d7757a612c0358c Sauce Nems - sauce nem - - Cora - 0 - 3257984890043 - 3257984890043 - OFF#9cf0c25ce8b27a527738869c123e4b1e Sauce Nems - sauce nem - - Metro Chef - 0 - 3439495120752 - 3439495120752 - OFF#b5d79b1757c08f5e8fdd441dfb9457b3 Sauce Nems - sauce nem - - Suzi Wan - 0 - 4002359017803 - 4002359017803 - OFF#28cad3d2a4054ba51f4d52508d1479c3 Sauce Nems - sauce nem - - Suzi Wan - 0 - 4002359017964 - 4002359017803 - OFF#526880bf57291086fecc54d8b69fe098 Sauce Nems Pimentee - sauce nem pimentee - - Metro Chef - 0 - 3439495120783 - 3439495120783 - OFF#fdf81348c2ff70b16bce2ad775822cdb ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'riz', '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: Wrong quantity: '' ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': 'Sauce nem autour du riz.', 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Sauce Nems', 'normName': ' sauce nem ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#50fafcd046ee86d89d7757a612c0358c', 'quantity': '', 'quantityLem': '', 'pack': ['CSL.w18', 'CCL.w5'], 'type': 'food', 'gtin': '3256225269020', 'gtinRef': '3256225269020', 'brand': 'U', 'time': '', 'event': 'declaration', 'serving': '', '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': '', 'quantityLem': '', 'pack': ['BOR.w200', 'CSS.w20'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.521557331085205} ---------------------------------------------------------------------------------- LLM CPU Time: 1.521557331085205