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<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you host events?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's tackle this query: "Do you host events?" The user wants to know if the venue hosts events. The task is to determine if the opening hours document is relevant here.
First, looking at the document's contents. The opening hours document has regular hours, last orders, etc. It doesn't mention events. The crossover topics list says events are handled in the upcoming events document. So, if the query is about events, the answer would be in that document, not opening hours.
The guidelines mention excluding opening hours if the answer is in another document. Since events are covered elsewhere, opening hours shouldn't be included here. Even if the user might visit for an event, the opening hours for events are part of the event details, not the regular schedule. Therefore, the next node can answer using the events document without needing the opening hours.
</think>
{
"reasoning": "The query 'Do you host events?' pertains to whether the venue organizes events, which is covered under the 'UPCOMING EVENTS CONTENTS' document. The opening hours document does not contain information about event hosting. Since this topic is explicitly listed under crossover topics handled by other documents, the opening hours document should be excluded. The decision aligns with the guideline to exclude documents when the answer lies in another designated resource.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Are events hosted at your location?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's break this down. The user is asking if events are hosted at the location. The opening hours document contains regular hours and last order times. The crossover topics mention that events, including their dates and times, are handled in the UPCOMING EVENTS document. Since the query is about events, which are covered in another document, the opening hours aren't needed here. The decision should be 'exclude' because the answer lies in the events document, not the opening hours.
</think>
{
"reasoning": "The query asks about events hosted at the venue. The opening hours document does not contain information about events, which are explicitly covered in the 'UPCOMING EVENTS' document. Since events are a crossover topic handled in another document, the opening hours document is irrelevant for answering this query.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you organize events?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's tackle this query: "Do you organize events?" The user is asking if the venue organizes events. The document in question here is the opening hours document. First, I need to check if the opening hours document contains information about organizing events. From the provided document content, it only includes regular opening and closing times, last orders for bar and kitchen. No mention of events organization there.
Next, I look at the crossover topics. The UPCOMING EVENTS CONTENTS section handles events, including dates and times of events. Since the query is about organizing events, the answer would likely be in the events-related document, not the opening hours. The guidelines mention that if the answer lies in a crossover topic, the opening hours document should be excluded.
The guidelines also specify scenarios where even if the user mentions visiting, other documents take precedence. Here, the user isn't indicating a visit but asking about event organization. Since events are covered in a different document, the opening hours aren't needed. The decision is to exclude the opening hours document because the answer isn't there and belongs to another section.
</think>
{
"reasoning": "The query 'Do you organize events?' is asking about event organization, which falls under the 'UPCOMING EVENTS CONTENTS' crossover topic. The opening hours document does not contain information about events, event planning, or event policies. Since the answer to this query would be found in the events-related document, the opening hours document should be excluded from the context for the next node's response.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Are private events hosted here?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's break this down. The user is asking if the venue hosts private events. The opening hours document contains regular operating hours and last orders. The crossover topics mention that upcoming events (like private events) are handled in a different document. Since the query is about private events, which fall under the 'upcoming events' category, the answer would be in that document, not the opening hours. Also, the guidelines say to exclude opening hours if the answer is in another document. Even though the user might need to know if the venue is open during an event, the events document should already have that info. So the decision is to exclude the opening hours.
</think>
{
"reasoning": "The query asks about private events, which falls under the 'Upcoming Events' crossover topic. The opening hours document does not handle event-related queries, including private events, as this is explicitly covered by another document. Including the opening hours document here would not provide relevant information for answering the user's question, as the answer lies in the 'Upcoming Events' document.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Can I host an event with you?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's see. The user is asking if they can host an event at the venue. The task is to determine if the opening hours document is relevant here. The opening hours document contains regular hours, last orders, but not event-specific info.
Looking at the crossover topics, events are handled under "Upcoming Events" and "Venue Information" which might include capacity or facilities needed for hosting. The query is about hosting an event, so it probably relates to reservations, group bookings, or venue capacity rather than regular hours.
The guidelines mention that if the answer is in another document (like venue info or reservations), exclude opening hours. Since hosting an event would require info on availability, capacity, or policies found in other documents, the opening hours aren't needed here. The next node can answer using the event or venue info docs without needing the regular hours.
So, decision is to exclude opening hours because the answer lies elsewhere.
</think>
{
"reasoning": "The user is asking about hosting an event, which relates to event policies, availability, and venue facilities. These topics are covered in the 'UPCOMING EVENTS' and 'VENUE INFORMATION' documents, not the opening hours. The opening hours document only provides regular operating times and last orders, which are not directly relevant to event hosting inquiries. Since the answer will be addressed by other documents, the opening hours document should be excluded.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you hold events at your place?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's break this down. The user is asking, "Do you hold events at your place?" The task is to decide if the opening hours document is relevant here.
First, the opening hours document contains regular operating times and last orders. But the query is about events. Checking the crossover topics, events are handled by the UPCOMING EVENTS document. Since the question is specifically about events, the answer would come from that document, not opening hours.
Also, the guidelines mention that if the answer is in a crossover topic, exclude the opening hours. There's no mention of a specific time or day in the query, so even though events might have their own hours, the main opening hours aren't needed here. The next node can answer using the events document without needing the regular hours. So the decision is "exclude".
</think>
{
"reasoning": "The query asks about events held at the venue, which falls under the 'UPCOMING EVENTS CONTENTS' crossover topic. Since the opening hours document does not contain information about events and the answer will be sourced from the events document, the opening hours document is not required. Additionally, the query does not signal intent to visit the venue or reference a specific timeframe that would require verifying regular operating hours.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Are events allowed at your venue?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's tackle this query: "Are events allowed at your venue?" The user is asking whether the venue permits events. The opening hours document contains regular opening times, last orders, etc. But events-related info is handled in the UPCOMING EVENTS document. Since the query is about events being allowed, which is under events policy, it's a crossover topic. Even if the answer might need opening hours indirectly, the primary answer comes from another document. So, exclude opening hours.
</think>
{
"reasoning": "The query asks whether events are allowed at the venue, which falls under the 'UPCOMING EVENTS' crossover topic. The opening hours document does not contain information about event policies or permissions, as those are covered in a separate document. Including the opening hours here would not assist in answering the core question about event allowances, which must be addressed using the dedicated events-related document.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you host corporate events?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's tackle this query: "Do you host corporate events?" The user is asking about corporate event hosting. First, I need to check if the opening hours document is relevant here.
The opening hours document contains regular operating times, last orders, etc. Now, the crossover topics list other documents. The Venue Information document includes details about facilities and capacity, which seems related to hosting events. Since the query is about hosting events, it falls under Venue Information, not opening hours.
Also, the guidelines say if the answer is in another document's crossover topics, exclude opening hours. Since corporate events relate to venue facilities and capacity, the answer would be in the Venue Information document. Therefore, including the opening hours here isn't necessary. The next node can answer using the Venue Information without needing the opening hours. So decision is exclude.
</think>
{
"reasoning": "The query asks about hosting corporate events, which pertains to the venue's capacity, facilities, and event hosting policies. This information is covered under the 'VENUE INFORMATION CONTENTS' crossover topic. The opening hours document does not contain details about event hosting capabilities or policies, so it should be excluded. The answer to the query will be found in the venue information document rather than the opening hours document.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you organize birthday parties or special events?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's break this down. The user asked, "Do you organize birthday parties or special events?" I need to check if the opening hours document is relevant here.
First, the opening hours document only has regular hours and last order times. It doesn't mention events, parties, or anything about organizing them. The query is specifically asking about events and parties, which falls under the Upcoming Events category.
Looking at the crossover topics, the UPCOMING EVENTS CONTENTS include details about dates and times of events. Since the user is asking about organizing events, the answer would be in the upcoming events document, not the opening hours. The guidelines say that if the answer is in another document, exclude opening hours.
Also, there's no mention of specific times or days in the query, like "this weekend" or a particular time. Even though the guidelines mention including opening hours if there's intent to visit, this query is more about event organization rather than visiting based on hours. The next node can answer using the events document without needing the opening hours. So, the decision is to exclude the opening hours document.
</think>
{
"reasoning": "The query is asking about organizing birthday parties or special events, which falls under the 'UPCOMING EVENTS CONTENTS' crossover topic. Since the opening hours document does not contain information about event organization, policies, or availability, and the answer would reside in a different document (e.g., events or reservations), the opening hours document is not relevant here. There is no explicit mention of a specific timeframe or intent to visit that would require checking operational hours.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Can events be held at your location?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's tackle this query: "Can events be held at your location?" The user wants to know if the venue hosts events.
First, I check the opening hours document content. It includes regular hours and last orders but nothing about event hosting. The crossover topics mention that venue information covers facilities and physical space details. Since event hosting relates to venue capacity and facilities, that's in the venue information document, not opening hours.
The guidelines say to exclude the opening hours if the answer is in another document. Since event hosting is under venue information, opening hours aren't needed here. Even if the user might need hours for planning an event, the query doesn't mention specific times or days. Without a time reference, opening hours aren't required. So the decision is to exclude the document.
</think>
{
"reasoning": "The query asks whether events can be held at the venue, which pertains to the venue's capacity, facilities, and policies for hosting events. This information falls under the 'VENUE INFORMATION CONTENTS' crossover topic. The opening hours document does not contain details about event hosting capabilities, only operational hours and last order times. Therefore, the answer to the query must come from the venue information document, not the opening hours document. Additionally, the query does not reference a specific timeframe (e.g., 'this weekend' or 'at 7pm') that would require supplementary context from the opening hours document.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you hold private functions or events?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's break this down. The user is asking if the venue holds private functions or events. The document in question here is the opening hours document. According to the guidelines, I need to check if the query relates to the opening hours or if it's covered by another document.
First, looking at the crossover topics. The "upcoming events" document covers event dates and times, and the "reservations" document deals with bookings and group policies, which might include private events. The query is specifically about private functions or events, which seems more aligned with the events or reservations documents rather than the opening hours.
The opening hours document only has regular operating times and last orders. Private events would likely be under the events or reservations sections, which are handled by other documents. Even though the user might need to know if the venue is open during their event, the main answer about hosting events isn't in the opening hours. Also, the guidelines mention that if the core of the query is handled by another document, opening hours should be excluded.
Additionally, there's no mention of a specific time or imminent visit in the query, so the guideline about including opening hours when a time is mentioned doesn't apply here. Therefore, the opening hours document isn't necessary for answering this particular query.
</think>
{
"reasoning": "The query asks about private functions or events, which falls under the 'UPCOMING EVENTS' or 'RESERVATIONS' crossover topics. These topics are handled in other documents, and the opening hours document does not contain information about event hosting policies. While the opening hours might indirectly relate to event logistics, the core answer lies outside its scope. Including it here would not directly address the user's intent.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you host celebrations or gatherings?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, so the user is asking if the venue hosts celebrations or gatherings. The task is to decide whether the opening hours document is relevant here. Let's break it down.
First, the opening hours document has regular hours, last orders, etc. But the query is about hosting events. Now, checking the crossover topics, events are handled in the UPCOMING EVENTS document. The RESERVATIONS doc would handle group bookings or reservations for such gatherings. The VENUE INFORMATION might include capacity or facilities which are also related.
The guidelines mention that even if the user intends to visit, opening hours would be needed. But here, the user isn't asking about visiting times; they're asking about hosting events. The answer would depend on policies in Reservations or Venue Info, not the regular hours. Since the query falls under a crossover topic (like Reservations or Venue Information), the opening hours document shouldn't be included. The next node can answer using the relevant documents without needing the hours here.
</think>
{
"reasoning": "The query asks whether the venue hosts celebrations or gatherings, which relates to event hosting policies and group bookings. This information is covered under the 'RESERVATIONS CONTENTS' and 'VENUE INFORMATION CONTENTS' in the crossover topics. The opening hours document does not contain information about event hosting policies, group bookings, or venue facilities required to answer this query. Therefore, excluding the opening hours document is appropriate as the answer will be handled by other specialized documents.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Are you open to hosting weddings or similar events?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Alright, let's tackle this query. The user is asking if the venue hosts weddings or similar events. The opening hours document contains regular operating hours and last orders, but the query is about event hosting.
Looking at the crossover topics, events and venue information are handled elsewhere. The Venue Information document includes capacity and facilities, which are relevant to hosting events. Since the answer isn't in the opening hours, excluding it makes sense.
Also, the user didn't mention a specific time or imminent visit, so the guidelines about including opening hours for visit intent don't apply here. The next node can use the Venue Information document to answer without needing the opening hours. Therefore, decision is "exclude".
</think>
{
"reasoning": "The query asks about hosting weddings or similar events, which falls under venue capacity and facilities covered in the VENUE INFORMATION document. The opening hours document does not contain information about event hosting capabilities. Since the answer lies in another document (VENUE INFORMATION), the opening hours document should be excluded as per crossover topic rules. No specific time/day mention in the query triggers the inclusion guideline either.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Can I host a large event at your place?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Alright, let's break this down. The user is asking if they can host a large event at the venue. The opening hours document contains regular hours and last order times. Now, I need to check if this document is relevant.
Looking at the crossover topics, hosting a large event would likely involve the venue's capacity, facilities, or group booking policies. These are covered under the Venue Information and Reservations documents, not the opening hours. The opening hours are about regular times, not special events. Even though the user might need to know if the venue is open, the event-specific details would be in other documents. Plus, the guidelines mention that if the answer is in another document, exclude opening hours. So even if time is involved, the events or reservations docs would handle that. Therefore, the decision is exclude.
</think>
{
"reasoning": "The query about hosting a large event relates to the venue's capacity, facilities, and policies for group bookings or events, which fall under the 'VENUE INFORMATION CONTENTS' and 'RESERVATIONS CONTENTS'. The opening hours document does not contain information about hosting events, capacity, or group policies. While the venue's general availability (e.g., being open) might be indirectly relevant, the core answer requires details outside the scope of the opening hours document. Additionally, the 'RESERVATIONS CONTENTS' explicitly includes group booking policy and has its own operating schedule, making the opening hours document redundant here.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you offer space for hosting events?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's break this down. The user is asking if the venue offers space for hosting events. The opening hours document includes regular operating hours and last order times, but the query is about event space availability.
Looking at the crossover topics, venue information covers details about the physical space, including event hosting. Since venue information is a separate document, including opening hours here isn't necessary. The next node can answer using the venue info document without needing the opening hours. Even if time was mentioned, the core question is about space, not when they're open. So the decision should be to exclude the opening hours document.
</think>
{
"reasoning": "The query asks about event hosting space, which falls under the 'VENUE INFORMATION CONTENTS' (physical space details). The opening hours document does not contain information about event spaces. The answer to the query will be addressed by the venue information document, making the opening hours document irrelevant in this context.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Are there options for hosting events at your location?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's start by breaking down the user's query: "Are there options for hosting events at your location?" The user is asking about event hosting possibilities.
First, I need to check if the opening hours document is relevant here. The opening hours doc contains regular operating times, last orders, etc., but not information about event facilities or policies. Hosting events would typically fall under venue information, which includes details like capacity, seating, facilities, etc. According to the crossover topics, venue information is handled in another document.
The guidelines mention that if the answer lies in a crossover topic, the opening hours document should be excluded. Since event hosting is covered in the venue information document, the opening hours aren't needed here. Even though knowing if the venue is open might seem relevant, the specific question is about availability of event options, not timing.
Also, the next node (which would handle venue info) can answer without needing the opening hours. There's no specific time mentioned in the query like "this weekend" or a particular day, so the opening hours aren't necessary for context. Therefore, the decision is to exclude the opening hours document.
</think>
{
"reasoning": "The query asks about event hosting options, which pertains to the venue's facilities and policies for events. This information is covered under the VENUE INFORMATION CONTENTS, a crossover topic handled by another document. Since the opening hours document does not contain details about event hosting capabilities, it should be excluded. The next node can address the query using the venue information document without needing the opening hours context.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you host social or community events?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's analyze this query: "Do you host social or community events?" The user is asking about whether the venue organizes events, which falls under the UPCOMING EVENTS document. The opening hours document contains regular hours and last orders but doesn't mention events. The CROSSOVER TOPICS state that if the query relates to events, the opening hours doc should be excluded. Since the answer would be in the events document, including the opening hours here wouldn't help. Also, there's no mention of specific times or intent to visit that would require checking if the venue is open. So the decision is to exclude.
</think>
{
"reasoning": "The query is asking about hosting social or community events, which falls under the 'UPCOMING EVENTS CONTENTS' in the crossover topics. The opening hours document does not contain information about events, only regular operating hours and last order times. Since the answer to this query would be found in the events document, the opening hours document should be excluded from the context.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you organize special events for occasions?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's start by looking at the user's query: "Do you organize special events for occasions?" The main thing the user is asking about is whether the venue organizes special events. Now, I need to check if the opening hours document is relevant here.
First, I'll recall that the opening hours document contains regular operating hours, last orders times, but nothing about events. The crossover topics mention that events are handled in the "Upcoming Events" document. So if the query is about events, that's a different document.
The guidelines say that if the answer lies in a crossover topic, the opening hours document should be excluded. Since organizing events would fall under upcoming events, the opening hours aren't needed. Even though the user might be planning to visit for an event, the question is specifically about organization, not current hours. Also, there's no mention of a specific time or day in the query like "this weekend" which would require checking opening hours.
Also, the next node would rely on the events document to answer about special events. Including the opening hours here wouldn't help because the question isn't about when the venue is open but whether they host events. Therefore, the decision is to exclude the opening hours document.
</think>
{
"reasoning": "The query asks about organizing special events, which falls under the 'Upcoming Events' crossover topic. The opening hours document does not contain information about event organization, only regular operating hours. Since the answer would be provided by another document, the opening hours document is not relevant here.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you offer your space for event hosting?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's step through this. The user is asking, "Do you offer your space for event hosting?" I need to determine if the opening hours document is relevant here.
First, the opening hours doc includes regular hours, last orders, etc. The query is about event hosting, which seems related to venue facilities. Checking the crossover topics, venue information includes details about the physical space and event hosting. So the answer likely resides in the venue info document, not opening hours.
Guidelines mention that even if a user might visit, but the core question is covered elsewhere, exclude opening hours. Here, the main point is event hosting availability, not when they're open. The next node can answer using venue info without needing current hours. So the decision is to exclude the opening hours document.
</think>
{
"reasoning": "The query is asking about event hosting, which falls under the VENUE INFORMATION CONTENTS category. The opening hours document does not contain information about event hosting availability or policies. The answer to this query would be found in the venue information document, not the opening hours document. Since the core question relates to a crossover topic handled by another document, the opening hours document should be excluded.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you have any event hosting options?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let me try to figure this out. The user is asking if the venue has event hosting options. The document I need to classify is the opening hours document, which includes regular hours and last orders.
First, I check the crossover topics. The "upcoming events" and "venue information" sections mention event-related details. The opening hours document doesn't talk about events themselves, just operating times. The query is about event hosting options, which would probably be covered in venue information (like facilities or capacity) or maybe a separate events document.
But the guidelines say that even if the query is about something else, if the user's intent is to visit, we include opening hours. However, in this case, the user isn't explicitly stating they plan to visit soon. They're just asking about hosting options. Also, the opening hours document doesn't have info on event hosting. Since the answer would be found in another document (venue info or events), the opening hours aren't needed here.
So the decision is to exclude the opening hours document because the answer isn't there and it's handled by another section.
</think>
{
"reasoning": "The user is inquiring about event hosting options, which falls under the venue's facilities and services. The opening hours document does not contain information about event hosting, as this is covered in the 'VENUE INFORMATION CONTENTS' section, specifically under 'facilities' and 'seating configurations'. Since the answer to the query is not within the opening hours document and is instead addressed by another document, the opening hours document should be excluded from the context.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you organize themed nights?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let me break this down. The user is asking, "Do you organize themed nights?" I need to determine if the opening hours document is relevant here.
First, the opening hours document includes regular operating times, last orders, etc. Themed nights sound like events. Checking the crossover topics, events are handled under the "Upcoming Events" document. The opening hours doc doesn't mention events or themed nights.
The guidelines say that if the query relates to events (a crossover topic), the opening hours doc should be excluded. Even if the user mentions a specific time, since themed nights are events, the answer would come from the events document, not opening hours.
The next node wouldn't need opening hours to answer about themed nights. So the decision is to exclude the document.
</think>
{
"reasoning": "The query asks about themed nights, which falls under the 'UPCOMING EVENTS' crossover topic. The opening hours document does not contain information about events or themed nights, as its scope is limited to regular operating hours and last order times. Since themed nights are events, the relevant information would be in the events document, not the opening hours document. Therefore, the opening hours document is not required to answer this query and should be excluded.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Are themed events held at your place?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's break this down. The user is asking if themed events are held at the place. The opening hours document includes regular operating hours and last order times. The crossover topics mention that event details, including dates and times, are handled in the upcoming events document. Themed events would fall under that category. The guidelines say if the answer is in a crossover topic, exclude the opening hours. Since events are covered elsewhere, the opening hours aren't needed here. Even though the user might want to know when to attend an event, the events doc would have that info. So, the decision is to exclude.
</think>
{
"reasoning": "The query asks about themed events, which are covered under the 'UPCOMING EVENTS CONTENTS' crossover topic. The opening hours document does not contain information about events, only regular operating hours and last order times. Since the answer to the query will be provided by the events document, the opening hours document should be excluded to avoid redundancy.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you offer themed events or nights?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's analyze this query. The user is asking if the venue offers themed events or nights. The opening hours document includes regular operating hours and last order times, but not information about events. The crossover topics mention that upcoming events, including themed nights, are covered in the UPCOMING EVENTS document. Since the query is specifically about themed events, the answer would be found in the events document, not the opening hours. Therefore, including the opening hours here isn't necessary because the events document should already have the relevant details. The decision should be to exclude the opening hours document.
</think>
{
"reasoning": "The query asks about themed events or nights, which falls under the 'UPCOMING EVENTS CONTENTS' crossover topic. The opening hours document does not contain information about events, as this is handled by a separate document. Including the opening hours document here would not provide relevant context, as the answer must be sourced from the events-related document instead.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Are there any themed nights hosted here?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's break this down. The user is asking if there are any themed nights hosted here. First, I need to check if this falls under the opening hours document or another category. The opening hours document includes regular hours and last order times but not events. Themed nights would be considered events, which are covered in the upcoming events document. The crossover topics clearly state that if the query relates to events, the opening hours document should be excluded because the answer is in another document. The guidelines mention that events have their own schedule, so the next node can answer without the opening hours. Therefore, the decision is to exclude the opening hours document here.
</think>
{
"reasoning": "The query asks about themed nights, which fall under the 'UPCOMING EVENTS' category. The opening hours document does not contain information about events or themed nights, as these are handled in a separate document. Since the answer requires details about events, the opening hours document is not relevant and should be excluded to avoid redundancy.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you have any themed events?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's break this down. The user is asking, "Do you have any themed events?" The task is to decide if the opening hours document should be included to answer this.
First, I need to check what's in the opening hours document. It contains regular opening and closing times, and last orders. Themed events aren't mentioned here. The CROSSOVER TOPICS section says that events are handled in the UPCOMING EVENTS document. So, if the query is about events, the answer would come from there, not the opening hours.
The GUIDELINES mention that if the query is about a crossover topic like events, the opening hours should be excluded. The reasoning here is that themed events are covered in another document. Even if the opening hours might help provide context, the primary info is elsewhere. Additionally, the user isn't specifying a time or day that would require checking current opening hours. Since the next node can answer using the events document alone, including opening hours isn't necessary here.
So, the decision is exclude because the query is about events, which is a crossover topic.
</think>
{
"reasoning": "The user's query asks about themed events, which fall under the 'UPCOMING EVENTS' crossover topic. The opening hours document does not contain information about events, and the answer will rely on the events document. Including the opening hours document here would not add relevant context, as events have their own dedicated document with specific details like dates and times. The next node can address the query using the events document alone.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Do you host events with specific themes?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's tackle this step by step. The user is asking, "Do you host events with specific themes?" I need to determine if the opening hours document is relevant here.
First, the query is about events with themes. The opening hours document contains regular hours and last orders but not event details. The crossover topics mention that event information, including dates and times, is handled in the "Upcoming Events" document. Since the user's question is about hosting themed events, the answer would rely on the events document, not the opening hours.
The guidelines state that if the query falls under a crossover topic, like events here, we should exclude the opening hours document. Even though sometimes opening hours might provide supplementary info, in this case, events have their own schedule. Also, there's no mention of a specific time or intent to visit that would require checking current hours. So the decision is to exclude the opening hours.
</think>
{
"reasoning": "The query asks about hosting events with specific themes, which pertains to event-related information. The opening hours document does not contain details about events or themes, as this is covered under the 'Upcoming Events' crossover topic. Since the answer requires information outside the scope of the opening hours document, it should be excluded.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
<｜begin▁of▁sentence｜>
<|System|>
You are document classifier working for a bar/restaurant. You are in a node that is responsible for making a decision on whether the opening hours document is relevant for answering the user query. Ensure you take proper care and consideration to ensure you do not make the wrong decision.
When analysing the information in the prompt to test query relevance, make sure that if the answer to the query is in one of the listed crossover topics, you exclude the document. The reasoning will be explained in the prompt.
Make sure to follow the rules set out in hte guidleines section of the prompt. To ensure you are making the correct decision.
Please make sure to parse your "reasoning" and "decision" and output them in the following json format.
Ensure you follow the following json schema no matter the query you are working with:
EXAMPLE JSON OUTPUT:
```json
{{
"reasoning": "The reasoning as to why the document should be included or excluded",
"decision": will be either "include" or "exclude"
}}
```
### END OF EXAMPLE ###
<｜User｜>
Look at the following query:
### QUERY ###
Are themed nights part of your event offerings?
### TASK ###
You are responsible for making a decision on whether the opening hours document is relevant for answering the user query. And should be included in the context for the next nodes repsonse.
### DOCUMENT TO CLASSIFY ###
To ensure you are able to make the correct decision, below are the contents of the opening hours document:
### OPENING HOURS DOCUMENT ###
-The opening hours document contains the 7 day regular opening and closing times of the venue.
-It also contains last orders times for the bar and kitchen.
!Important Do not assume any other information other than the above is in the opening hours document.
### CROSSOVER TOPICS ###
Here are some crossover topics that are handled in other documents. If these arise note that the opening hours document should be excluded from the context as the answer will lie in the other documents, outside of your scope;
UPCOMING EVENTS CONTENTS:
-The date and start/close times of upcoming weekly, monthly, one-off or seasonal events.
RESERVATIONS CONTENTS:
-The reservation policy and how to make a reservation.
-The reservation availability.
-Walk in policy.
-Group booking policy.
-Table time limits.
-Reservation cancellation policy.
-Late arrival policy.
-The reservations document will also have a 7 day opening hours operation schedule so if the query will require the reservations document to answer it, the opening hours document should be excluded.
MENU CONTENTS:
-The menus on all the different product types supplied at the venue. Any query that exclusively asks about a product will be answered in the menu document.
-Prices, and detailed descriptions of the food and drink items.
VENUE INFORMATION CONTENTS:
-The address, contact details of the venue.
-The capacity of the venue.
-Seating configurations.
-The venue's facilities.
-The venues takeout policy. i.e (foodpanda, uber eats etc)
-Any dress code policy.
-All information about the physical space of the venue.
### GUIDELINES ###
When making a decision, even if the query is asking for something else, so long as the customer has signalled intent in the query to visit the venue, for example if the query was:
"Does the venue have wifi?, Im thinking of coming over to get a bit of work done."
Even though the core of the query is asking about whether the venue has wifi, which would usually come under venue information. We would still require the opening hours as the user has expressed strong intent to imminently visit the venue. And we need the opening hours to see if the venue will be open when the user intends to visit.
The worst thing that could happen is the user visits the venue and it is closed, this would lead to a bad customer experience.
Public holidays are not events, the venue could have an event on christmas day or new years eve. But the opening hours would still be needed to provide supplementary context to the event document in such case as if an event is not listed for that date the next node would not have any information about the operating times for that day.
Furthermore if the query asks when the venue will be busiest. The opening hours document cannot answer this query, but the next node will find it impossible to answer the query if it does not even know the general hours of operation of the venue, thus in scenarios like this the opening hours document should be included in the context.
Think of your answer this way, If the document is not included, will the next node be able to answer the query?
If the query is not about reservations. So long as a specific time(like 6pm etc), day(Monday) or term like "this weekend", "next weekend" is mentioned in the query. The opening hours document should be included in the context.
Timeframes like next month / next year / next week are not relevant to the opening hours document however as you cannot tell if the venue will be open at the time mentioned in the query as we only have a seven day schedule.
Also time frames for events do not need backup context from the opening hours as the events document will have the opening hours for the venue when those events occur.
<｜Assistant｜>
<think>
Okay, let's break down the user's query: "Are themed nights part of your event offerings?" The user is specifically asking about themed nights as events. The task here is to determine if the opening hours document is relevant for answering this.
Looking at the opening hours document, it contains regular opening and closing times, last orders, but not events. The crossover topics mention that Upcoming Events content is handled in another document. Themed nights would fall under events, so the answer would be in the Events document, not Opening Hours.
The guidelines say that if a query relates to a crossover topic like Events, the opening hours should be excluded. Even though events might have their own hours, the opening hours document isn't needed here because the Events document already contains that info for the event dates. Plus, the user isn't asking about timing; they just want to know if themed nights are offered.
Therefore, including the opening hours wouldn't help, and the next node can answer using the Events document alone. Decision is to exclude.
</think>
{
"reasoning": "The query is asking about themed nights as part of event offerings. Themed nights fall under the 'UPCOMING EVENTS CONTENTS' crossover topic, which is handled in a separate document. Since the opening hours document does not contain information about events or themed night offerings, and this topic is explicitly listed as a crossover responsibility of another document, the opening hours document is irrelevant here. The answer to the query will be found in the events-related document, not the opening hours document.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
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