the following content is the metadata for a bacterial isolate from 2 different sources. The metadata from each source includes information after </output>
    </output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx
    <output/>

You must check if the metadata from 2 different sources are all consist. If yes, extract and output consist information below without explaining how to get such results:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
    <output>
        accession number: xxx->species name: xxxx->strain name: xxxx->isolate or collection date in yyyy-mm-dd: xxxx format->geographic information of islateion: xxxx->host name: xxxx->mlst type: xxxx->serotype: xxxx->vaccine: yes/no
    <output/>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------

where xxxx is corresponding information. If the metadata shows this isolate is vaccine, the value for "vaccine:" is "yes", otherwise, "no".

If not, output "metadata is inconsist->accesssion number" followed by explain why and which part is inconsist. PS:
    a. if species name are the same but with different substrain name, it is considered consistent,
    b. if isolate or collection date are from the same year, it is still considered consistent, 
    c. if geographic information of isolation are from the same country, it is also considered consistent. 
    d. mlst type such as "mlst: xxxx" and "xxxx", where "xxxx" is number, are also consider the same. also, "mlst" may mispell as "mlsty", you need correct it before comparing
    e. Ignore upper and lower case of the metadata

------------------------------
source 0:
------------------------------
```
accession number        species name    strain name     isolate or collection date in yyyy-mm-dd format geographic information of islateion     host name       mlsty type      serotype
GCA_029074345.1 Erysipelothrix rhusiopathiae    EMAI_59 N/A     Not Applicable  pig     99      N/A
```
source 1:
------------------------------
Here's the extracted information based on the provided JSON data:

1. **Accession:** GCA_029074345.1
2. **Species Name:** Erysipelothrix rhusiopathiae
3. **Strain Name:** EMAI_59
4. **Isolate or Collection Date:** N/A 
5. **Geographic Information of Isolation:** N/A
6. **Host Name:** pig 


**Explanation of how the data was extracted:**

* **Accession:** Found under the top-level key "accession".
* **Species Name:** Found within the nested dictionaries under  "organism": {"organism_name": "Erysipelothrix rhusiopathiae"}
* **Strain Name:** Found within the nested dictionaries under "organism": {"infraspecific_names": {"strain": "EMAI_59"}}
* **Isolate or Collection Date:** Found within the "biosample": {"attributes"} list, under the dictionary with  "name": "collection_date". The value is "Not Applicable", so we use "N/A".
* **Geographic Information of Isolation:** Found within the "biosample": {"attributes"} list, under the dictionary with "name": "geo_loc_name". The value is "Not Applicable", so we use "N/A".
* **Host Name:** Found within the "biosample": {"attributes"} list, under the dictionary with "name": "host". The value is "pig".