Input path: /home/debian/html/nutritwin/output_llm/6666d42de65d0/input.json
Output path: /home/debian/html/nutritwin/output_llm/6666d42de65d0/output.json
Input text: Ma salade verte avec mon jambon un oeuf dur du fromage fromage. J'ai bu 75 cl d'eau
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: Ma salade verte avec mon jambon un oeuf dur du fromage fromage. J'ai bu 75 cl d'eau
==================================================================================================================================
==================================== 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: ###Ma salade verte avec mon jambon un oeuf dur du fromage fromage. J'ai bu 75 cl d'eau###.
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 : """Ma salade verte avec mon jambon un oeuf dur du fromage fromage. J'ai bu 75 cl d'eau""" 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 drink identifier, the name should not contain information related to quantity or container (like glass...). The cooking mode is not in the name. When the brand is very well-known (ex: Activia, Coca-Cola), the name is equal to the brand. 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. When the 'brand' is not specified and, the food or beverage is very well-known (like 'Coca-Cola'), provide the brand name in 'brand', otherwise set 'brand' to ''."@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": "salade verte",
"quantity": "",
"cookingMethod": "",
"type": "food",
"timeOfTheDay": "",
"brand": "",
"company": "",
"event": "declaration"
},
{
"name": "jambon",
"quantity": "",
"cookingMethod": "",
"type": "food",
"timeOfTheDay": "",
"brand": "",
"company": "",
"event": "declaration"
},
{
"name": "oeuf dur",
"quantity": "",
"cookingMethod": "",
"type": "food",
"timeOfTheDay": "",
"brand": "",
"company": "",
"event": "declaration"
},
{
"name": "fromage",
"quantity": "",
"cookingMethod": "",
"type": "food",
"timeOfTheDay": "",
"brand": "",
"company": "",
"event": "declaration"
},
{
"name": "eau",
"quantity": "75 cl",
"cookingMethod": "",
"type": "beverage",
"timeOfTheDay": "",
"brand": "",
"company": "",
"event": "declaration"
}
]
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
[
{
"name": "salade verte",
"quantity": "",
"cookingMethod": "",
"type": "food",
"timeOfTheDay": "",
"brand": "",
"company": "",
"event": "declaration"
},
{
"name": "jambon",
"quantity": "",
"cookingMethod": "",
"type": "food",
"timeOfTheDay": "",
"brand": "",
"company": "",
"event": "declaration"
},
{
"name": "oeuf dur",
"quantity": "",
"cookingMethod": "",
"type": "food",
"timeOfTheDay": "",
"brand": "",
"company": "",
"event": "declaration"
},
{
"name": "fromage",
"quantity": "",
"cookingMethod": "",
"type": "food",
"timeOfTheDay": "",
"brand": "",
"company": "",
"event": "declaration"
},
{
"name": "eau",
"quantity": "75 cl",
"cookingMethod": "",
"type": "beverage",
"timeOfTheDay": "",
"brand": "",
"company": "",
"event": "declaration"
}
]
```
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "salade verte", "quantity": "", "cookingMethod": "", "type": "food", "timeOfTheDay": "", "brand": "", "company": "", "event": "declaration" }, { "name": "jambon", "quantity": "", "cookingMethod": "", "type": "food", "timeOfTheDay": "", "brand": "", "company": "", "event": "declaration" }, { "name": "oeuf dur", "quantity": "", "cookingMethod": "", "type": "food", "timeOfTheDay": "", "brand": "", "company": "", "event": "declaration" }, { "name": "fromage", "quantity": "", "cookingMethod": "", "type": "food", "timeOfTheDay": "", "brand": "", "company": "", "event": "declaration" }, { "name": "eau", "quantity": "75 cl", "cookingMethod": "", "type": "beverage", "timeOfTheDay": "", "brand": "", "company": "", "event": "declaration" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'salade verte', 'quantity': '', 'cookingMethod': '', 'type': 'food', 'timeOfTheDay': '', 'brand': '', 'company': '', 'event': 'declaration'}, {'name': 'jambon', 'quantity': '', 'cookingMethod': '', 'type': 'food', 'timeOfTheDay': '', 'brand': '', 'company': '', 'event': 'declaration'}, {'name': 'oeuf dur', 'quantity': '', 'cookingMethod': '', 'type': 'food', 'timeOfTheDay': '', 'brand': '', 'company': '', 'event': 'declaration'}, {'name': 'fromage', 'quantity': '', 'cookingMethod': '', 'type': 'food', 'timeOfTheDay': '', 'brand': '', 'company': '', 'event': 'declaration'}, {'name': 'eau', 'quantity': '75 cl', 'cookingMethod': '', 'type': 'beverage', 'timeOfTheDay': '', 'brand': '', 'company': '', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'salade verte', 'quantity': '', 'cookingMethod': '', 'type': 'food', 'timeOfTheDay': '', 'brand': '', 'company': '', '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 '% salade verte %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Salade Verte - salade verte - avec vinaigrette - - 61586 - - - KCA#4ab5b82c387924b3ce222cda9fdf1f3e
Salade Verte - salade verte - sans vinaigrette - - 15302 - - - KCA#ffaecdf2b67b1ae9d2055afa2173c027
----------------------------------------------------
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': 'jambon', 'quantity': '', 'cookingMethod': '', 'type': 'food', 'timeOfTheDay': '', 'brand': '', 'company': '', '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 '% jambon %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Jambon Cru - jambon cru - - - 9885 - - - CIQ#64b8482a5f9494f91650a6dfbb0cd41e
Jambon Sec - jambon sec - - - 0 - - - CIQ#96c8fe38103fc721a15cfe55d6e25c6f
Jambon Cru - jambon cru - fumé - - 268 - - - CIQ#5f3f73264b7c8e8500821bffaac09aee
Jambon Sec - jambon sec - découenné, dégraissé - - 293 - - - CIQ#25959c69f01c1f2120ccc677017fa727
Jambon Cru - jambon cru - fumé, allégé en matière grasse - - 0 - - - CIQ#f647a53f900ffb0f8b6bcc1b9daac3fd
Jambon Fumé - jambon fume - - - 1235 - - - KCA#b89a3b14af6277985c3d77e8a43fd3a7
Jambon Cuit - jambon cuit - fumé - - 130 - - - CIQ#17ca7e15b0319f1e287cbd0bcf02e149
Jambon Cuit - jambon cuit - choix - - 0 - - - CIQ#31a3ba17bd765304c35083900245a906
Jambon Cuit - jambon cuit - supérieur - - 879 - - - CIQ#62b09fb38df99e94d05d097272b0f943
Jambon Cuit - jambon cuit - choix, avec couenne - - 0 - - - CIQ#c197beb44fda0f03581cdd01ee751078
Jambon Cuit - jambon cuit - supérieur, découenné - - 0 - - - CIQ#a4feb0298e2ed9bf7086021f843d5542
Jambon Cuit - jambon cuit - supérieur, avec couenne - - 0 - - - CIQ#44f954aa2607fc98de99e42c7a2f34f0
Jambon Cuit - jambon cuit - choix, découenné dégraissé - - 0 - - - CIQ#1bdbfa77737e32f3afd8b85235c13da8
Jambon Cuit - jambon cuit - de Paris, découenné dégraissé - - 0 - - - CIQ#2204461860d60e77475581012d525590
Jambon Cuit - jambon cuit - supérieur, découenné dégraissé - - 0 - - - CIQ#7fe80de772280767444b552c0124ab0f
Jambon Cuit - jambon cuit - supérieur, à teneur réduite en sel - - 0 - - - CIQ#f6e3b7457066170ebc96fe96171fba23
Jambon Blanc - jambon blanc - - - 41088 - - - KCA#a2c3580fad4917288fe40406fb88cadb
Jambon Bayonne - jambon bayonne - - - 2108 - - - KCA#a7501ed926d61fc6282a9dc417593554
Jambon Persillé - jambon persille - - - 315 - - - KCA#a68e12a46f2795c6c267b411dd8111f4
Jambon de Poulet - jambon de poulet - - - 5421 - - - KCA#8a8c7fe60575ff37bd0a2f58c58a75a0
----------------------------------------------------
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
----------- result to be analyzed -----------
{'name': 'oeuf dur', 'quantity': '', 'cookingMethod': '', 'type': 'food', 'timeOfTheDay': '', 'brand': '', 'company': '', '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 '% oeuf dur %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Oeuf Dur - oeuf dur - - - 34213 - - - KCA#0c9196f2d28e211ac0aeb81d4c9361a9
Oeufs Durs Mayonnaise - oeuf dur mayonnaise - - - 663 - - - KCA#83f10a89cbed801d608ea90ed01c9822
Oeufs Durs Farcis à la Tapenade - oeuf dur farci tapenade - - - 5 - - - KCA#af83d09a7ef0f36516f2c0e50c960f19
----------------------------------------------------
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
----------- result to be analyzed -----------
{'name': 'fromage', 'quantity': '', 'cookingMethod': '', 'type': 'food', 'timeOfTheDay': '', 'brand': '', 'company': '', '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 '% fromage %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Fromage - fromage - - - 23096 - - - KCA#e2646df35885ba5fc75c406a551c9fbc
Fromage 45% MG - fromage 45% mg - - - 6874 - - - KCA#14ed2b0745972d44df97c5d52a44ac69
Fromage 20% MG - fromage 20% mg - - - 1124 - - - KCA#e32d6c98bf1d5f0a3c853a8f6bb7c3b3
Fromage 70% MG - fromage 70% mg - - - 494 - - - KCA#351b50fec02ae7c43d964985ac9086c6
Fromage de Tête - fromage de tete - - - 258 - - - CIQ#a80997979cdf84066ed5ed98f0291aef
Fromage de Chèvre - fromage de chevre - - - 4537 - - - KCA#87a40b8f006dcb11aafd4e97014ed3f4
Fromage de Brebis - fromage de brebi - pâte pressée - - 0 - - - KCA#58787aec327646598cc7785b49eea77a
Fromage de Brebis - fromage de brebi - pâte molle à croûte fleurie - - 0 - - - KCA#a463c1fc485a4f9d296ce6817ce2c361
Fromage de Chèvre - fromage de chevre - lactique affiné, au lait cru type Crottin - - 250 - - - KCA#2c01ba493c1fac82cabb393f8f3648a7
Fromage Frais 0% MG - fromage frai 0% mg - - - 519 - - - KCA#88f1992eded597fa4d19465f74683774
Fromage Fondu 25% MG - fromage fondu 25% mg - - - 3246 - - - KCA#d149670a9548a1b193a2c41eca41b75f
Fromage Frais 30% MG - fromage frai 30% mg - - - 145 - - - KCA#7925728898a08e85f13745b60bc71320
Fromage Fondu 45% MG - fromage fondu 45% mg - - - 95 - - - KCA#6d8e1e183c61d211654c306cf3835256
Fromage Frais 20% MG - fromage frai 20% mg - - - 81 - - - KCA#0c277d2e26315ef0b610a1ac6f0b2c8f
Fromage Fondu 70% MG - fromage fondu 70% mg - - - 55 - - - KCA#4310db392dfdcff70718326fee922034
Fromage Fondu 65% MG - fromage fondu 65% mg - - - 52 - - - KCA#df8a055eb661bce01be58e63581e3ace
Fromage Blanc Nature - fromage blanc nature - 0% MG - - 24178 - - - CIQ#36c17f9437be97fba469ea7cd5441d75
Fromage Blanc Nature - fromage blanc nature - 3% MG environ - - 10606 - - - CIQ#4a1c07f162d63ff83801c1fb767aafcf
Fromage Blanc Nature - fromage blanc nature - gourmand, 8% MG environ - - 0 - - - CIQ#4ec95c0d5d5444677063a6486af1e1c9
Fromage Fondu aux Noix - fromage fondu au noix - - - 23 - - - KCA#849bff96c14abb755613ff11508fe7c9
----------------------------------------------------
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
----------- result to be analyzed -----------
{'name': 'eau', 'quantity': '75 cl', 'cookingMethod': '', 'type': 'beverage', 'timeOfTheDay': '', 'brand': '', 'company': '', '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 '% eau %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Eau - eau - - - 10064 - - - KCA#08cfe774cbf7476b1e582734c7082ecd
Eau de Vie - eau de vie - - - 210 - - - CIQ#2397ddba68eefec7e38e3a061b6060e3
Eau de Coco - eau de coco - - - 574 - - - CIQ#4f6cfd4687e4da85c9063e194dd3113b
Eau Minérale - eau minerale - - - 0 - - - CIQ#682a311be3fc15a20a88c168408e5304
Eau Minérale - eau minerale - aliment moyen - - 160 - - - KCA#69addfd353e07f633ee05c6be8ac5d4d
Eau Minérale - eau minerale - plate, aliment moyen - - 18 - - - CIQ#9f35a4198a700eac62fe4d1dc426f1a4
Eau Minérale - eau minerale - gazeuse, aliment moyen - - 28 - - - CIQ#38da155cfd970d21ba9f4b87294b96df
Eau Minérale - eau minerale - ou de source aromatisée agrumes - - 33 - - - KCA#47ee70f086c3080428426febc2426e8c
Eau Minérale - eau minerale - ou de source aromatisée, arôme autre qu'agrumes - - 36 - - - KCA#0daeef02b69e5526427bc855f1ec3111
Eau Minérale - eau minerale - embouteillée, faiblement minéralisée, aliment moyen - - 0 - - - CIQ#a8b887f21f002cd8ddbda99766ee5ec4
Eau de Source - eau de source - embouteillée, aliment moyen - - 0 - - - CIQ#b6c1ba3e6cb4c788d63711a9b869730b
Eau du Robinet - eau robinet - - - 273 - - - CIQ#4c4a29ce4ec63b6cfc6bc3914ccf7056
Eau Minérale Dax - eau minerale da - embouteillée, non gazeuse, moyennement minéralisée, Dax, 40 - - 0 - - - CIQ#a07a880ef627fa44150fe5583484549d
Eau de Vie de Vin - eau de vie de vin - type armagnac, cognac - - 0 - - - CIQ#c0440021ea15aa2abf11853bbd2191a4
Eau Minérale Néro - eau minerale nero - embouteillée, non gazeuse, faiblement minéralisée, Grèce - - 0 - - - CIQ#8ab34da104cb5b744e0ad6eaece161a6
Eau Minérale Avra - eau minerale avra - embouteillée, non gazeuse, faiblement minéralisée, Grèce - - 0 - - - CIQ#b0465b7ee2f045df840aac281b388253
Eau Minérale Luso - eau minerale luso - embouteillée, non gazeuse, très faiblement minéralisée, Portugal - - 0 - - - CIQ#45d467ce96aa14e71c62e6ca943f5621
Eau Minérale Eden - eau minerale eden - La Goa, embouteillée, non gazeuse, faiblement minéralisée, Suisse - - 0 - - - CIQ#341195c07e8f951269157ecad800778a
Eau Minérale Ogeu - eau minerale ogeu - embouteillée, gazeuse, faiblement minéralisée, Ogeu-les-Bains, 64 - - 0 - - - CIQ#14fc742b6db6af7dce1a08288d62ddf6
Eau Minérale Vals - eau minerale val - embouteillée, gazeuse, moyennement minéralisée, Vals-les-Bains, 07 - - 0 - - - CIQ#11be70594fa1e46c35dca065d17b5ca6
----------------------------------------------------
--------------------------------- final result -----------------------------------
{'prompt': "Ma salade verte avec mon jambon un oeuf dur du fromage fromage. J'ai bu 75 cl d'eau", 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Salade Verte', 'normName': ' salade verte ', 'comment': 'avec vinaigrette', 'normComment': ' avec vinaigrette ', 'rank': 61586, 'id': 'KCA#4ab5b82c387924b3ce222cda9fdf1f3e', 'quantity': '', 'quantityLem': '', 'pack': ['SAL.w170'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Jambon Cru', 'normName': ' jambon cru ', 'comment': '', 'normComment': '', 'rank': 9885, 'id': 'CIQ#64b8482a5f9494f91650a6dfbb0cd41e', 'quantity': '', 'quantityLem': '', 'pack': ['TR3.w25'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Oeuf Dur', 'normName': ' oeuf dur ', 'comment': '', 'normComment': '', 'rank': 34213, 'id': 'KCA#0c9196f2d28e211ac0aeb81d4c9361a9', 'quantity': '', 'quantityLem': '', 'pack': ['OEU.w60'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Fromage', 'normName': ' fromage ', 'comment': '', 'normComment': '', 'rank': 23096, 'id': 'KCA#e2646df35885ba5fc75c406a551c9fbc', 'quantity': '', 'quantityLem': '', 'pack': ['CAM.w20', 'GRU.w20', 'MIM.w20', 'ROC.w20', 'CH2.w20'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Eau', 'normName': ' eau ', 'comment': '', 'normComment': '', 'rank': 10064, 'id': 'KCA#08cfe774cbf7476b1e582734c7082ecd', 'quantity': '75 cl', 'quantityLem': '75 cl', 'pack': ['VAE', 'VX1', 'VA2', 'GOB', 'VA4', 'VA4', 'VA3'], 'type': 'beverage', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'VAE-75cl', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 9.008473873138428}
----------------------------------------------------------------------------------
LLM CPU Time: 9.008473873138428