Input path: /home/debian/html/nutritwin/output_llm/68150fa5ab6c9/input.json Output path: /home/debian/html/nutritwin/output_llm/68150fa5ab6c9/output.json Input text: Je vais manger des pâtes avec un peu de poulet. 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: Je vais manger des pâtes avec un peu de poulet. ================================================================================================================================== ==================================== 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: ###Je vais manger des pâtes avec un peu de poulet.###. 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 : """Je vais manger des pâtes avec un peu de poulet.""" 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": "pâtes", "quantity": "un", "type": "food", "event": "intent" }, { "name": "poulet", "quantity": "un peu de", "type": "food", "event": "intent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "pâtes", "quantity": "un", "type": "food", "event": "intent" }, { "name": "poulet", "quantity": "un peu de", "type": "food", "event": "intent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "p\u00e2tes", "quantity": "un", "type": "food", "event": "intent" }, { "name": "poulet", "quantity": "un peu de", "type": "food", "event": "intent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'pâtes', 'quantity': 'un', 'type': 'food', 'event': 'intent'}, {'name': 'poulet', 'quantity': 'un peu de', 'type': 'food', 'event': 'intent'}], 'cost': 0.10175999999999999} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'pâtes', 'quantity': 'un', 'type': 'food', 'event': 'intent'} 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 '% pate %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Pâté - pate - - - 35 - - - CIQ#afa9f7f047da1f15de2883f037186a92 Pâtes - pate - sans gluten, à base de riz et maïs, à l'eau, non salées - - 0 - - - CIQ#fbb4c57fdca55e795247628ccb5aecdd Pâtes - pate - sans gluten, à base de lentilles corail, à l'eau, non salées - - 0 - - - CIQ#b616881505a8dc3bb22f36ba73c591e5 Pâté Breton - pate breton - - - 0 - - - CIQ#7bf7cf124b0a4bd2e2ef3a9a0a499589 Pâtes Cuites - pate cuite - - - 40303 - - - KCA#5f79f58611165eed8a9639bfa123a9ca Pâté de Foie - pate de foie - - - 754 - - - KCA#a5e2912dd9f9cde202e6768375fa2481 Pâté de Tête - pate de tete - - - 191 - - - KCA#f90aa2ff530cc5bc04459e1ca2ba4490 Pâtes Sèches - pate seche - aux oeufs, crues - - 0 - - - CIQ#52cf76f71ceae840a6e8cfb7bb87401e Pâtes Sèches - pate seche - sans gluten, crues - - 0 - - - CIQ#a6df809c43c5e8ea99c2290e16e50a23 Pâtes Sèches - pate seche - au blé complet, crues - - 0 - - - CIQ#2cd29b7b7d0a8beffb2a20bdcd5b67d9 Pâtes Sèches - pate seche - aux oeufs, non salées - - 0 - - - CIQ#475f5a3e0ebed8ce058915c8c0e2488a Pâtes Sèches - pate seche - sans gluten, non salées - - 0 - - - CIQ#a83a046d5cb792a1634de34a8b103f8c Pâtes Sèches - pate seche - au blé complet, non salées - - 0 - - - CIQ#086a2b5c3417a99bed48fb94c6f8e347 Pâte d'Amande - pate amande - - - 753 - - - CIQ#7c0811ad432704e3560ead7d11dcc54b Pâté de Lapin - pate de lapin - - - 228 - - - CIQ#cd9ac9416e8376ef0d33dc474b22d8d1 Pâte de Fruits - pate de fruit - - - 904 - - - CIQ#ddc417db85ad45f7b63c72987afd1efd Pâté en Croûte - pate en croute - - - 69 - - - CIQ#e2118c3e025007fd1644c613af45b0cf Pâté de Gibier - pate de gibier - - - 62 - - - CIQ#68811d74011dd1931c6725029c3ec0d8 Pâté Ardennais - pate ardennai - - - 33 - - - KCA#1c1510a6deb74a99fe2687d0ba87d678 Pâtes Fraîches - pate fraiche - aux oeufs, crues - - 0 - - - CIQ#9afbc65919a12bd31e467b9e01a43777 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'poulet', 'quantity': 'un peu de', 'type': 'food', 'event': 'intent'} 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 '% poulet %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Poulet - poulet - - - 8795 - - - KCA#2b8a36538eae9db1a126faeda234fa36 Poulet - poulet - escalope panée - - 0 - - - CIQ#bae631670e62c77d45034eff236a1db0 Poulet - poulet - croquette panée ou nuggets - - 0 - - - CIQ#d8096293142be1614c2e2d792fb0d135 Poulet - poulet - cuisse, viande et peau, cru - - 0 - - - CIQ#7de39f1b0aefe1479f456f2eeffe360d Poulet - poulet - filet, sans peau, sauté/poêlé - - 0 - - - CIQ#bdeff1663af053ba0ef4dfc523f03224 Poulet - poulet - cuisse, viande, rôti/cuit au four - - 0 - - - CIQ#2760b1ebd16b8f276e8dc49751990e69 Poulet - poulet - viande et peau, rôti/cuit au four - - 0 - - - CIQ#ea614234aa25e31d1b1bd4f1dbbbce1a Poulet - poulet - filet, sans peau, sauté/poêlé, bio - - 0 - - - CIQ#8d157895c46690cf07811470dcb92052 Poulet - poulet - cuisse, viande, bouilli/cuit à l'eau - - 0 - - - CIQ#698505f6db4f71029aeeab2e3a06e19c Poulet - poulet - manchons marinés, rôtis/cuits au four - - 0 - - - CIQ#960d39abb32cc5f3c56126dfd2e03e8f Poulet - poulet - aile, viande et peau, rôti/cuit au four - - 0 - - - CIQ#f9c58ba832cc3603548917e8084ee304 Poulet - poulet - cuisse, viande et peau, rôtie/cuite au four - - 0 - - - CIQ#124b0a1b1080244ea5c3ca52f7866c32 Poulet - poulet - poitrine, viande et peau, rôti/cuit au four - - 0 - - - CIQ#e3de333fab10eb5afe51680b6cb1d486 Poulet - poulet - cuisse, viande et peau, bouilli/cuit à l'eau - - 0 - - - CIQ#b2d906c4947a322c9b05108f5b1a0ae3 Poulet Rôti - poulet roti - - - 10622 - - - KCA#8f4155b2705cf340fe3f2777bcfbe7ea Poulet Frit - poulet frit - - - 2594 - - - KCA#dd0ae748ef0c8413ce4c89f25d8229d1 Poulet Marengo - poulet marengo - - - 57 - - - KCA#f706ed1fc95afe84c20df295d5844034 Poulet à l'Ail - poulet ail - - - 51 - - - KCA#ada607ff9b9084654b8663e6d96eaa93 Poulet au Miel - poulet miel - et salade de Fenouil et Céleri à la crème - - 43 - - - KCA#10b8495a1834253e87733dc33ffcfd80 Poulet au Curry - poulet curry - - - 1421 - - - KCA#89f6cd1b00b67266a7db24596103e009 ---------------------------------------------------- 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 --------------------------------- final result ----------------------------------- {'prompt': 'Je vais manger des pâtes avec un peu de poulet.', 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify food and beverage consumption or declaration'], 'solutions': {'nutrition': [{'name': 'Pâté', 'normName': ' pate ', 'comment': '', 'normComment': '', 'rank': 35, 'id': 'CIQ#afa9f7f047da1f15de2883f037186a92', 'quantity': 'un', 'quantityLem': '1', 'pack': ['TR5.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'intent', 'serving': 'TR5-100', 'posiNormName': 0}, {'name': 'Poulet', 'normName': ' poulet ', 'comment': '', 'normComment': '', 'rank': 8795, 'id': 'KCA#2b8a36538eae9db1a126faeda234fa36', 'quantity': 'un peu de', 'quantityLem': '1 peu', 'pack': ['POU.w100', 'CUI.w200'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'intent', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 6.606173038482666} ---------------------------------------------------------------------------------- LLM CPU Time: 6.606173038482666