Input path: /home/debian/html/nutritwin/output_llm/66f401fae5ce6/input.json Output path: /home/debian/html/nutritwin/output_llm/66f401fae5ce6/output.json Input text: Je bois un café expresso avec un sucre tutti frais 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 bois un café expresso avec un sucre tutti frais ================================================================================================================================== ==================================== 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: ###Je bois un café expresso avec un sucre tutti frais###. 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 : """Je bois un café expresso avec un sucre tutti frais""" 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": "café expresso", "quantity": "un", "type": "beverage", "event": "declaration" }, { "name": "sucre", "quantity": "un", "type": "food", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "café expresso", "quantity": "un", "type": "beverage", "event": "declaration" }, { "name": "sucre", "quantity": "un", "type": "food", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "café expresso", "quantity": "un", "type": "beverage", "event": "declaration" }, { "name": "sucre", "quantity": "un", "type": "food", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'café expresso', 'quantity': 'un', 'type': 'beverage', 'event': 'declaration'}, {'name': 'sucre', 'quantity': 'un', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'café expresso', 'quantity': 'un', 'type': 'beverage', '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 '% cafe expresso %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Café Expresso - cafe expresso - non instantané, non sucré, prêt à boire - - 5358 - - - CIQ#71484d6749acf1476e8d6abb42471db7 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'sucre', 'quantity': 'un', '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 '% sucre %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Sucre - sucre - en poudre - - 13047 - - - KCA#a61491f490cb44bcf59ef948a0097b8f Sucre - sucre - en morceau - - 0 - - - KCA#54f1b4b11e3cacc4441b29dc0d4e6d7d Sucre d'Orge - sucre orge - sucre d'orge - - 0 - - - KCA#0aad9125e3f7faaedd95c65b67cdfff8 Thé Sucré (1 Sucre) - the sucre - sucré (1 sucre) - - 0 - - - KCA#ce556337e0d9788306e32b24fe0fe081 Tarte au Sucre - tarte sucre - au sucre - - 0 - - - KCA#b88be5d2e1f4fc863d3a9d26612348c4 Thé sans Sucre - the san sucre - sans sucre - - 0 - - - KCA#9de5d7e3a39cb14df7a2014ed9319364 Cramique au Sucre - cramique sucre - - - 0 - - - KCA#206b9e9912d03ca3e5d1fb7e0ec65a02 Thé au Lait Sucré - the lait sucre - 1 sucre - - 2799 - - - KCA#f79219b7fdb1e0186da32547f7467cc3 Compote sans Sucre Ajouté - compote san sucre ajoute - - - 2324 - - - KCA#17a6c2151d31a2bb189254fd2c58c402 Crêpe Beurre Sucre - crepe beurre sucre - - - 1261 - - - KCA#adf06f3567a044e35baea32b960ad4dc Thé au Lait sans Sucre - the lait san sucre - sans sucre - - 0 - - - KCA#978c8f4bf945ce13218480e6d937996a Yaourt Maigre Sucré - yaourt maigre sucre - maigre sucré - - 0 - - - KCA#ab6f36de7f77a66f9719584243652846 Yaourt Nature Sucré - yaourt nature sucre - nature sucré - - 0 - - - KCA#04a07931e0bb88a2fa79ac588ff372a1 Yaourt Nature Sucré Canne - yaourt nature sucre canne - sucré canne - - 0 - - - KCA#d4d5ace21d166e38b4293d4e7494b03b Lait Concentré Sucré - lait concentre sucre - entier - - 54 - - - CIQ#d4f364c31af4c7307ce5a6915bf7b666 Thé à la Menthe sans Sucre - the menthe san sucre - sans sucre - - 0 - - - KCA#d6b018fd859ac0e6ee70bca51b09db90 Lait Concentré Sucré Entier - lait concentre sucre entier - - - 0 - - - KCA#88a049a8f0f8d6c0874b091aa262d73d Chewing-gum sans Sucre - chewing gum san sucre - - - 1111 - - - KCA#bee105cc0aa2520383874741d086579b Chocolat Noir sans Sucres Ajoutés - chocolat noir san sucre ajoute - avec édulcorants, en tablette - - 0 - - - CIQ#3cece312c84cb7ddd4bcc80edf31a153 Chocolat au Lait sans Sucres Ajoutés - chocolat lait san sucre ajoute - avec édulcorants, tablette - - 0 - - - CIQ#09bc5fef8a8b1113265bb2a0ddc95b2f ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': 'Je bois un café expresso avec un sucre tutti frais', 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Café Expresso', 'normName': ' cafe expresso ', 'comment': 'non instantané, non sucré, prêt à boire', 'normComment': ' non instantane non sucre pret boire ', 'rank': 5358, 'id': 'CIQ#71484d6749acf1476e8d6abb42471db7', 'quantity': 'un', 'quantityLem': '1', 'pack': ['TA2', 'TA3'], 'type': 'beverage', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'TA2-100', 'posiNormName': 0}, {'name': 'Sucre', 'normName': ' sucre ', 'comment': 'en poudre', 'normComment': ' en poudre ', 'rank': 13047, 'id': 'KCA#a61491f490cb44bcf59ef948a0097b8f', 'quantity': 'un', 'quantityLem': '1', 'pack': ['CSS.w5'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'CSS-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.625249147415161} ---------------------------------------------------------------------------------- LLM CPU Time: 3.625249147415161