Input path: /home/debian/html/nutritwin/output_llm/67114659af51e/input.json Output path: /home/debian/html/nutritwin/output_llm/67114659af51e/output.json Input text: Champignons. 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: Champignons. ================================================================================================================================== ==================================== 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: ###Champignons.###. 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 : """Champignons.""" 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": "Champignons", "type": "food", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "Champignons", "type": "food", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Champignons", "type": "food", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Champignons', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'Champignons', '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 '% champignon %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Champignon - champignon - cèpe, cru - - 0 - - - CIQ#507bf7eedd01023a656de6a680e5253b Champignon - champignon - morille, crue - - 0 - - - CIQ#5a42db3f720c459ca8a664618d25cb75 Champignon - champignon - pleurote, crue - - 0 - - - CIQ#8a27db7118edd4e9f4660a26806fc021 Champignon - champignon - tout type, cru - - 0 - - - CIQ#5a45b2147e895e9c204f1ec73d856944 Champignon - champignon - oronge vraie, crue - - 0 - - - CIQ#dae7b304a96a7fcf5a6a266a6d84aad8 Champignon - champignon - rosé des prés, cru - - 0 - - - CIQ#f324b9c23b69a938642850ec277feabe Champignon - champignon - tout type, égoutté - - 0 - - - CIQ#334a7f823845a3a699895c405348f517 Champignon - champignon - chanterelle ou girolle, crue - - 0 - - - CIQ#92c83cfc5f670913dcac08ecee3da035 Champignon - champignon - lentin comestible ou shiitaké - - 0 - - - CIQ#3c4b31a66351114e03870c4dd8b9ae1b Champignon - champignon - lentin comestible ou shiitaké, séché - - 0 - - - CIQ#fca11dc03464769331766aed3628d0ba Champignons Crus - champignon cru - - - 3579 - - - KCA#3cc80555ef5ce4a78c202b8ab14d5e06 Champignons Sautés - champignon saute - - - 956 - - - KCA#f1a890378210c207314dbfecc84cff43 Champignons Grillés - champignon grille - aux Tomates et au Basilic - - 14 - - - KCA#9e228d5fbbc34e30d173cb3d39d14353 Champignons Gratinés - champignon gratine - - - 37 - - - KCA#928331d41ce0d6041dddaed4bf258197 Champignons en Salade - champignon en salade - - - 160 - - - KCA#4b803014b0707eb6119d6f8b5cf1091a Champignons Apertisés - champignon apertise - - - 68 - - - KCA#ffb947a6246047e223a055c43af04259 Champignons à la Crème - champignon creme - - - 654 - - - KCA#8d6f5386b19b03577f6a1e2cc4483343 Champignons Vinaigrette - champignon vinaigrette - - - 24 - - - KCA#2b370fdead13ae1b072147efe2939971 Champignons Crus en Salade - champignon cru en salade - - - 59 - - - KCA#2f96039f4b2b2afe907b0ec3ef0e8a64 Champignon de Paris ou Champignon de Couche - champignon de pari ou champignon de couche - cru - - 0 - - - CIQ#3d3674c5fd5a40d6343a2a115a1b0ead ---------------------------------------------------- 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 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 --------------------------------- final result ----------------------------------- {'prompt': 'Champignons.', 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Champignon', 'normName': ' champignon ', 'comment': 'cèpe, cru', 'normComment': ' cepe cru ', 'rank': 0, 'id': 'CIQ#507bf7eedd01023a656de6a680e5253b', 'quantity': '', 'quantityLem': '', 'pack': ['LEG.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.2796359062194824} ---------------------------------------------------------------------------------- LLM CPU Time: 1.2796359062194824