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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｜>
|
<｜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 run special 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's break this down. The user is asking if the venue runs special themed nights. The opening hours document includes regular hours and last orders but not events. The crossover topics mention that upcoming events, like themed nights, are handled in another document. Since the query is about themed nights, which fall under events, the answer would be in the events document, not the opening hours. Guidelines say to exclude if it's a crossover topic. So the decision should be "exclude".
</think>
{
"reasoning": "The user is asking about special themed nights, which fall under the 'UPCOMING EVENTS' crossover topic. The opening hours document does not contain information about events, only regular operating hours and last order times. Since themed nights are explicitly handled in a separate document, the opening hours document is not relevant for answering this query and should be excluded to avoid providing incomplete or misleading 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 events with 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 see. The user is asking, "Do you organize events with themes?" I need to determine if the opening hours document is relevant here.
First, the opening hours document contains regular opening times, closing times, and last orders. The query is about themed events. Looking at the crossover topics, events are handled in the UPCOMING EVENTS document. That document includes details about event dates, themes, etc. Since the user is specifically asking about events with themes, the answer would be in the events document, not opening hours.
The guidelines say if the answer is in a crossover topic, exclude the opening hours. Also, the opening hours don't mention events or themes. Even if the user might visit for an event, the core question is about event organization, not when the venue is open. So the decision is to exclude the opening hours document.
</think>
{
"reasoning": "The query asks about organizing events with themes, which falls under the 'UPCOMING EVENTS' crossover topic. The opening hours document does not contain information about event themes or organization. Since the answer to the query must come from the events document, the opening hours document is excluded to avoid redundancy and ensure the next node uses the correct data source.",
"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 themed nights 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 tackle this query: "Do you hold themed nights or special events?" I need to determine if the opening hours document is relevant here.
First, the opening hours document includes regular schedules and last order times, but not events. The user is asking about themed nights or special events, which falls under the 'Upcoming Events' category mentioned in the Crossover Topics. Since those events are handled in another document (UPCOMING EVENTS CONTENTS), the opening hours should be excluded.
But wait, the guidelines mention that if the answer is in a crossover topic, we exclude the document. However, there's a note about public holidays not being events, but events on specific dates might still need opening hours. In this case, the query is about whether they have events, not the timing. The events document would handle the existence of events, not the regular hours.
Also, the guidelines state that if the next node can't answer without opening hours, include it. But here, confirming the existence of events doesn't require knowing the regular hours. The answer would come from the events document, so opening hours aren't needed. Therefore, decision is 'exclude'.
</think>
{
"reasoning": "The query asks about themed nights or special 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 resides in a different document (events-related), the opening hours document is not relevant for this specific 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 there any regular themed nights 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, I need to determine if the opening hours document is relevant for answering the user's query about regular themed nights. Let's break this down step by step.
The user is asking about themed nights, which typically fall under events. The crossover topics mention that upcoming events, including weekly ones, are handled in the events document. The opening hours document only contains regular operating hours and last order times, not event details.
The guidelines state that if the query relates to events, the opening hours should be excluded because the answer lies elsewhere. Additionally, there's no mention of specific times or days in the query that would require checking the current operating schedule.
Even though themed nights might occur during certain hours, the core information about the existence of such events isn't in the opening hours. The next node can answer using the events document without needing the hours, so including the opening hours here isn't necessary. Therefore, the decision is to exclude the document.
</think>
{
"reasoning": "The query asks about regular themed nights, which falls under the 'UPCOMING EVENTS CONTENTS' category. The opening hours document does not contain information about events, including themed nights, as this is handled by a different document. Since the answer to the query is not dependent on the venue's general operating hours or last order times, the opening hours document is not relevant here. The decision to exclude ensures the next node focuses on the correct document (events) for the 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 ###
Do you host any events based on 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 me start by understanding the user's query. The question is, "Do you host any events based on themes?" The user is asking if the venue has themed events.
Now, looking at the document we need to classify, which is the opening hours document. This document contains regular opening and closing times for each day of the week, plus last order times for the bar and kitchen. Important to note—it doesn't include any information about events, themes, or anything related to event hosting.
Next, the crossover topics. The "UPCOMING EVENTS CONTENTS" section explicitly mentions handling event dates, times, and details like weekly or seasonal events. Since the user's question is about themed events, that would fall under the upcoming events document, not the opening hours.
The guidelines say that if the answer is covered in another document (like events), the opening hours should be excluded. Also, even though events might affect opening hours, the events document itself would include the necessary hours for those specific dates. The opening hours document is only for the regular schedule.
There's no mention of specific times or days in the query, so the guideline about including opening hours when a time or day is mentioned doesn't apply here. The core of the query is about events, which is handled elsewhere.
Therefore, since the answer to the user's question about themed events is in the upcoming events document, the opening hours document isn't needed here. Including it wouldn't help the next node because the events document will handle the query, and opening hours don't provide relevant info on event themes.
</think>
{
"reasoning": "The query asks about themed events, which falls under the 'UPCOMING EVENTS CONTENTS' crossover topic. The opening hours document does not contain information about events, themes, or event scheduling. Since the answer to the query lies in a different document (events-related), the opening hours document should be excluded from the context to avoid redundancy and ensure the next node focuses on the correct source.",
"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 expect themed 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 analyze the user query: "Can I expect themed events at your location?" The user is asking about themed events.
Looking at the opening hours document, it contains regular opening times, closing times, and last orders. Themed events would fall under the UPCOMING EVENTS category in the crossover topics. The UPCOMING EVENTS document handles dates and times of events, which is separate from the regular opening hours.
The guidelines say that if a query is about a crossover topic, like events here, the opening hours document should be excluded. Since the answer about themed events would be provided by the UPCOMING EVENTS document, including the opening hours isn't necessary. The next node can answer using the events document without needing the opening hours in this case.
So the decision is to exclude the opening hours document.
</think>
{
"reasoning": "The user's query is about themed events, which falls under the 'UPCOMING EVENTS CONTENTS' crossover topic. Since the opening hours document does not contain information about events, themes, or schedules for such activities, it is not relevant for answering this query. The answer will be provided by 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 ###
Do you have themed evenings 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 tackle this query. The user is asking if the venue has themed evenings or events. The document in question here is the opening hours, which includes regular operating times and last orders.
First, I need to check if the query relates to opening hours. Themed evenings or events are more about what's happening rather than when the venue is open. The CROSSOVER TOPICS section mentions that upcoming events, including dates and times, are handled in the UPCOMING EVENTS document. So even though the user is asking about events, the opening hours document doesn't cover event specifics.
Also, the GUIDELINES state that if the answer is in another document's scope, like events here, the opening hours should be excluded. The opening hours only provide the regular schedule, not event details. The next node would rely on the events document to answer about themed evenings, not the opening hours. Therefore, including the opening hours here isn't necessary and might even be irrelevant.
I need to make sure not to include the opening hours unless the query specifically mentions a time frame that requires checking if the venue is open. Since the user isn't mentioning a specific time or day, just asking about events in general, the decision here should be "Exclude". The events document will handle the answer, and the opening hours don't contribute to that.
</think>
{
"reasoning": "The user is inquiring about themed evenings or events, which fall under the 'UPCOMING EVENTS CONTENTS' crossover topic. The opening hours document does not include event details, dates, or themes—it only contains regular operating hours and last order times. Since the answer to the query lies 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 ###
Are your events ever based on 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. The user is asking, "Are your events ever based on themes?" I need to determine if the opening hours document is relevant here. First, I check what's in the opening hours doc: regular hours, last orders. The query is about events and their themes.
Looking at the crossover topics, events are handled in the upcoming events document. The opening hours doc doesn't cover event themes. Also, the guidelines say that if the answer is in another document (like upcoming events), exclude opening hours. The user isn't asking about times or visiting intent, just themes. So the next node can answer using the events doc without needing opening hours. Therefore, exclude opening hours.
</think>
{
"reasoning": "The query asks about whether events are based on themes, which pertains to event-specific details. The opening hours document does not contain information about event themes, as this is covered under the 'UPCOMING EVENTS' crossover topic. Since the answer to the query lies outside the scope of the opening hours document and in a different 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 offer any special 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, I need to determine whether the opening hours document is relevant for answering the user's query about special themed nights. Let's start by breaking down the query. The user is asking if the venue offers any special themed nights. Themed nights would typically fall under events, right? According to the crossover topics, the UPCOMING EVENTS document covers dates and times of events, including weekly, monthly, one-off, or seasonal ones. So the answer should be in that document, not the opening hours.
The opening hours document only has regular operating hours and last orders. Themed nights are events, so even if they happen on specific days, the events document would include their details, including any altered hours for those events. The guidelines mention that if the answer is in another document (like events here), the opening hours should be excluded. Also, since the user isn't asking about regular hours or mentioning a specific time/day to visit, there's no need to include opening hours. Events have their own schedules, so the next node can answer using the events document without needing the general hours. Therefore, the decision should be to exclude the opening hours document.
</think>
{
"reasoning": "The query asks about special themed nights, which falls under the 'UPCOMING EVENTS CONTENTS' crossover topic. The opening hours document does not include event-specific details like themed nights, as these are covered in other documents. Since the answer to the query lies in a different document (events), 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 hold any themed nights or parties?
### 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 if the venue has any themed nights or parties. The document in question here is the opening hours document, which includes regular operating times and last orders. Now, according to the guidelines, I need to check if this query falls under any of the crossover topics handled by other documents.
Looking at the crossover topics, themed nights or parties would be covered under the upcoming events document. The opening hours document doesn't include event-specific information like themed nights; it's just about regular hours. The guidelines say that if the answer is in another document (like upcoming events here), the opening hours should be excluded.
Also, the task mentions that even if the next node might need supplementary info, if the answer isn't in the opening hours, it shouldn't be included. Since the query is specifically about events, the opening hours aren't relevant here. The reservations document isn't involved here either. So the decision is to exclude the opening hours document.
</think>
{
"reasoning": "The user is inquiring about themed nights or parties, which fall under the 'upcoming events' category as outlined in the crossover topics. The opening hours document does not contain information about events, themed nights, or parties, which are handled by a different document. Since the answer to the query lies 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 events hosted on a regular basis?
### 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 hosted regularly. The opening hours document only has the regular operating times and last orders. The crossover topics mention that event-related info like dates and times are handled in the upcoming events document. So, the answer about themed events would be there, not in opening hours. Plus, the query doesn't mention a specific time or day that would require checking if the venue is open. Even if the next node needs to answer, they wouldn't use opening hours for event schedules. So, decision is exclude.
</think>
{
"reasoning": "The user's query asks about themed events being hosted regularly. The opening hours document only contains information about regular operating hours and last order times. Information about events, including themed or recurring ones, is explicitly listed under the 'UPCOMING EVENTS CONTENTS' crossover topic, which is handled in a separate document. The query does not mention a specific timeframe (e.g., a day or time) that would require the opening hours document to verify operational status. Therefore, the answer to the query would rely solely on the events document, not 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 events around certain 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 query: "Do you organize events around certain themes?" The user is asking about themed events. First, I check the opening hours document's contents—it's just about regular hours and last orders. The crossover topics mention that events are covered in the upcoming events document. So, the answer should be there, not in opening hours. The guidelines say to exclude if it's a crossover topic. No mention of specific times or visit intent here. So decision is exclude.
</think>
{
"reasoning": "The user is asking about events organized around certain themes, which falls under the 'UPCOMING EVENTS CONTENTS' crossover topic. The opening hours document does not contain information about event themes or schedules, and the answer would be provided by a different document (e.g., upcoming events document). The query does not signal intent to visit the venue or require supplementary context like opening hours (e.g., no specific time or day mentioned). Therefore, the opening hours document is not relevant 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 have themed event 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 tackle this query. The user is asking, "Do you have themed event nights?" The task is to determine if the opening hours document is relevant here.
First, I check what the opening hours document contains: regular opening and closing times, last orders for bar and kitchen. Themed event nights would likely fall under the upcoming events document, which is a crossover topic. The guidelines say that if the answer is in a crossover topic, exclude the opening hours document.
The query doesn't mention specific times or days, just asks about the existence of themed events. Since events are handled in another document, the opening hours aren't needed here. Even if the next node needed to know if the venue is open during events, the events document should have that info. So including opening hours isn't necessary.
Decision: Exclude.
</think>
{
"reasoning": "The query asks about themed event nights, which falls under the 'UPCOMING EVENTS CONTENTS' crossover topic. Since the opening hours document does not contain information about events, themes, or schedules beyond regular operating hours and last order times, it is not relevant here. The answer to this query would be found in the events-related document, not 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 partner with other brands for unique experiences or showcases?
### 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 start by looking at the user's query: "Do you partner with other brands for unique experiences or showcases?" The user is asking about partnerships or collaborations with other brands for events or experiences.
Now, I need to check the opening hours document's contents. According to the provided info, it includes regular opening and closing times for each day, plus last order times. There's no mention of partnerships, events, or collaborations in the opening hours document.
Next, I should review the crossover topics. The UPCOMING EVENTS section handles dates and times of events, but the question here is about partnerships for experiences, which isn't covered in the opening hours. The other documents like Reservations, Menu, and Venue Information don't seem relevant here either. Since partnerships or brand collaborations would typically fall under events or possibly venue information if it's about the space being used, but the opening hours don't address this.
The guidelines mention including opening hours if the user signals intent to visit, but the query here doesn't indicate that. They're just asking about partnerships, not planning a visit. Also, the example given in the guidelines about including opening hours when there's intent to visit doesn't apply here. There's no mention of a specific time or day in the query, so even the time-related guideline isn't triggered.
Moreover, the crossover topics list specifies that events-related info is handled elsewhere. Since the query is about partnerships for experiences, which could be part of events, the opening hours document isn't needed. The next node would rely on the events document or another relevant section to answer this, not the operating hours.
So, the decision is to exclude the opening hours document because the answer about brand partnerships isn't found there and falls under a different document's responsibility. Including it wouldn't help the next node provide an accurate response.
</think>
{
"reasoning": "The query asks about partnerships with other brands for unique experiences or showcases. The opening hours document does not contain information related to brand partnerships, events, collaborations, or special experiences. This topic would fall under upcoming events or venue information (if related to the physical space), which are handled in other documents. The opening hours document only provides operational timing details and does not contribute to answering the core question about partnerships or collaborations.",
"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 collaborations with other businesses for special 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 this down. The user is asking about collaborations with other businesses for special offerings. The document in question here is the opening hours document, which contains regular hours, last orders, etc. I need to check if this document is relevant for answering the query.
First, the query is about collaborations or partnerships. The opening hours document doesn't mention anything related to collaborations—it's strictly about operating times. So on the surface, it doesn't seem relevant.
Looking at the crossover topics, collaborations would likely fall under something else, maybe upcoming events or maybe venue information. But the listed crossover topics like UPCOMING EVENTS, RESERVATIONS, MENU, VENUE INFORMATION don't explicitly mention collaborations. However, special offerings through partnerships might be part of events or promotions, which are covered in the upcoming events document. Since the opening hours document is separate from that, including it wouldn't help here.
The guidelines mention that if the answer is in another document's scope, exclude the opening hours. Even though collaborations aren't explicitly listed, they probably belong to another category. Also, the user isn't mentioning a specific time or intent to visit soon, which would trigger including opening hours. So the next node wouldn't need the opening hours to answer about collaborations. Therefore, the decision is to exclude the opening hours document.
</think>
{
"reasoning": "The query asks about collaborations with other businesses for special offerings. The opening hours document does not contain information about business collaborations or special offerings. Collaborations and special offerings would typically fall under promotional events or partnerships, which are not covered in the opening hours document but might be addressed in other documents like upcoming events or venue information. Since the answer to the query is not present in the opening hours document and likely resides in a different document's scope, the opening hours document is irrelevant 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 work with local businesses to create exclusive guest experiences?
### 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 works with local businesses to create exclusive guest experiences. The task is to decide if the opening hours document is relevant here.
First, I'll check the opening hours document contents. It has regular hours, last orders, etc. The query is about partnerships with local businesses for exclusive experiences. That doesn't relate to when the venue is open.
Now, looking at the crossover topics. Upcoming events, reservations, menus, and venue info are handled elsewhere. The query seems to be about collaborations or partnerships, which isn't covered in any of those topics directly. But it's also not about the venue's operating hours.
The guidelines mention including opening hours if the user shows intent to visit. Here, the user is asking about business collaborations, not planning a visit. Even if they were, the core question is about partnerships, so opening hours wouldn't help answer that.
Also, the decision hinges on whether the next node can answer without the opening hours. Since the question is about partnerships, the opening hours document doesn't contribute any relevant info. The answer would come from a different document, maybe about services or partnerships, which isn't listed here.
Therefore, including the opening hours here wouldn't help. The decision is to exclude it.
</think>
{
"reasoning": "The query asks about partnerships with local businesses to create exclusive guest experiences, which does not relate to the venue's operating hours, last order times, or any information contained within the opening hours document. The query falls outside the predefined crossover topics (reservations, menus, venue information, etc.), and there is no indication of intent to visit the venue that would require opening hours for context. The answer to this query likely resides in another document not listed here, such as one detailing partnerships or services, making the opening hours document irrelevant.",
"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 upcoming partnerships or exclusive experiences happening?
### 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 there any upcoming partnerships or exclusive experiences happening?"
First, I need to determine if the opening hours document is relevant here. The document contains regular opening and closing times, plus last orders for the bar and kitchen. The user is asking about partnerships or exclusive experiences, which sound like special events or collaborations.
Looking at the crossover topics, the UPCOMING EVENTS section specifically covers dates and times of one-off or seasonal events, which likely includes partnerships or exclusive experiences. Since the opening hours document doesn't handle event details—only regular hours—the answer should come from the events document. Additionally, the guidelines mention that if the answer lies in another document (like events here), the opening hours should be excluded.
Also, the query doesn't mention any specific times or days that would necessitate checking regular hours. Even if they did, the events document would have the relevant hours for those specific dates. So including the opening hours here isn't necessary. The next node can answer using the events document without needing the regular hours info.
</think>
{
"reasoning": "The query asks about upcoming partnerships or exclusive experiences, which fall under the 'UPCOMING EVENTS' crossover topic. The opening hours document does not contain information about events, partnerships, or experiences—it only covers regular operating hours and last order times. Since the answer to the query would be found in the events document or similar specialized resources, the opening hours document is irrelevant here and should be excluded to avoid unnecessary 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 collaborate with others for limited-time experiences or features?
### 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 collaborates with others for limited-time experiences or features. The task is to decide if the opening hours document is relevant here.
First, the opening hours document covers regular schedules and last orders. The query is about collaborations or features, which sounds like it would relate more to events or special offerings. Checking the crossover topics, collaborations might fall under "UPCOMING EVENTS" which includes details about events and their times. Since the opening hours document doesn't handle event-specific information, and the UPCOMING EVENTS document would cover that, the opening hours aren't needed here.
Also, the guidelines mention that if the answer is in another document's scope (like Events here), we exclude opening hours. The user isn't asking about when the venue is open but about partnerships for temporary features. Even if such a collaboration affected hours, the Events doc would include those adjusted times, making the regular hours document irrelevant. Hence, the decision should be to exclude.
</think>
{
"reasoning": "The query asks about collaborations for limited-time experiences or features, which aligns with the 'UPCOMING EVENTS' crossover topic. The opening hours document does not contain information about collaborations, events, or special features, only regular operating hours and last order times. Since the answer would be found in a different document (e.g., events or partnerships-related documents), the opening hours document is not relevant here 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 there any co-hosted experiences or collaborations available for customers?
### 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 about co-hosted experiences or collaborations. The opening hours document contains regular hours, last orders, etc. The crossover topics mention that events, reservations, menus, and venue info are handled elsewhere. The query is about collaborations or co-hosted experiences, which sounds like it would fall under events or maybe partnerships. Since events are handled in the upcoming events document, the answer would be there, not in the opening hours. Also, the guidelines say that if the answer is in another document, exclude opening hours. So even though the user might need to know when the venue is open to attend these collaborations, the main info is in the events doc. So the opening hours document isn't needed here.
</think>
{
"reasoning": "The query asks about co-hosted experiences or collaborations, which would fall under the 'UPCOMING EVENTS' crossover topic. The opening hours document does not contain information about events or partnerships. Since the answer would be found in the events-related documents rather than operating hours, 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 offer any collaborative experiences with nearby businesses or brands?
### 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 I need to figure out if the opening hours document is relevant for answering the user's query. The query is asking if the venue offers collaborative experiences with nearby businesses or brands. Let me break this down.
First, the opening hours document contains the regular opening and closing times, plus last order times. The crossover topics list mentions that other documents handle things like events, reservations, menus, and venue info. The user's question is about collaborations, which isn't directly mentioned in the crossover topics. However, collaborations might fall under venue information if they're about partnerships or services offered. But venue information's document includes things like address, capacity, facilities, takeout policies, etc. Collaborations with other businesses don't fit into any of those categories directly.
Wait, the guidelines say to consider if the next node can answer without the document. If collaborations are part of venue information, then even if it's not listed, maybe the next node would still need opening hours if the user's intent is to visit. But the query doesn't mention visiting or a specific time. The user is just asking about the existence of such experiences.
Looking at the guidelines again, unless the user signals intent to visit (like mentioning coming over or a specific time/day), opening hours aren't necessary. Since the query is purely asking about collaborations, which isn't in the opening hours doc, and there's no mention of visiting or a timeframe, the opening hours document isn't needed here. The answer about collaborations would come from another document, possibly venue info or even a separate one not listed. Therefore, excluding the opening hours document makes sense here.
</think>
{
"reasoning": "The user is inquiring about collaborative experiences with nearby businesses or brands, which relates to partnerships or services offered by the venue. This information would typically fall under venue information, marketing, or external partnership documents, none of which are part of the opening hours document. The query does not mention visiting the venue, specific times, or operational details like hours, which are the focus of the opening hours document. Additionally, collaborations are not listed as a crossover topic requiring backup context from opening hours. Since the answer to the query is not dependent on operational hours, the opening hours document is irrelevant 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 organize exclusive collaborations with other companies or artists?
### 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 query: "Do you organize exclusive collaborations with other companies or artists?" The user is asking about collaborations, which sounds like partnerships or events. Now, the task is to determine if the opening hours document is relevant here.
The opening hours document includes regular hours, last orders, etc. Crossover topics mention that if the query is about upcoming events, reservations, menus, or venue info, those are handled by other documents. Upcoming events include collaborations or special occasions, so that's a crossover topic.
The guidelines say that even if there's an intent to visit, we include opening hours. But here, the user isn't indicating a visit; they're asking about collaborations. Since collaborations would fall under upcoming events, which is a different document, the opening hours aren't needed. The next node would use the events document to answer, so including opening hours here isn't necessary. Decision should be exclude.
</think>
{
"reasoning": "The query asks about exclusive collaborations with companies or artists, which pertains to events or partnerships. The opening hours document does not contain information about events, collaborations, or partnerships. Instead, such details would be covered in the 'upcoming events' or other relevant documents. Since the answer to the query lies outside the scope of the opening hours document and does not require knowledge of operational hours to address the collaboration inquiry, the document is not relevant for 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 any special collaborative experiences available to enjoy 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 see. The user is asking about special collaborative experiences available at the venue. The document in question is the opening hours, which includes regular hours and last order times.
First, I need to check if the query falls into any crossover topics. The crossover topics include upcoming events, reservations, menus, and venue information. The user's question is about collaborative experiences, which might relate to events or activities. Looking at the Upcoming Events contents, that's where dates and times for events are covered. So if there's a special experience, it would likely be in the events document.
The opening hours document only has regular hours, not event-specific details. Even if the experience is an event, the opening hours might not be needed because the events document would include its own schedule. The guidelines say that if the answer is in another document (like events), we exclude opening hours.
Also, the user didn't mention a specific time or date, so there's no need to check if the venue is open. The decision hinges on whether the answer is in another document. Since collaborative experiences are probably events, the answer would be in the events document, so opening hours aren't needed here. Therefore, the decision is to exclude the document.
</think>
{
"reasoning": "The user is asking about 'special collaborative experiences,' which likely refers to events or activities that may be listed under the 'Upcoming Events' document. The opening hours document does not contain information about events, collaborations, or special experiences. Since the answer would be found in another document (Upcoming Events), the opening hours document should be excluded as per the crossover topics guidelines.",
"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 partnerships that bring in unique experiences for customers?
### 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 have partnerships that bring in unique experiences for customers?" The user is asking about partnerships that provide unique experiences. Now, I need to check if the opening hours document is relevant here.
The opening hours document contains regular operating hours, last orders times, but nothing about partnerships or events. The crossover topics mention that the upcoming events document handles event dates and times. Partnerships for unique experiences might relate to events, which are covered in the events document, not the opening hours.
Guidelines say if the answer is in another document (like events here), exclude opening hours. Since partnerships likely tie into events managed elsewhere, opening hours aren't needed. The next node can answer using the events document without needing the hours. So the decision should be exclude.
</think>
{
"reasoning": "The query asks about partnerships that bring in unique experiences, which would typically fall under **upcoming events** or **venue information** (e.g., collaborations, special programs). The opening hours document does not contain information about partnerships, events, or customer experiences beyond operational hours. Including it would not help answer the query, as the answer must come from documents covering events, partnerships, or venue-specific programs.",
"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 opportunities to experience exclusive collaborations 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 about "exclusive collaborations" at the venue. The opening hours document contains regular operating hours and last order times. I need to check if this query relates to any crossover topics handled by other documents.
Exclusive collaborations probably refer to special events or partnerships, which would fall under the upcoming events category. The upcoming events document covers dates and times for such occasions. Since the opening hours document only has the regular schedule, and the collaborations are likely events, the answer would come from the events document.
Additionally, there's no mention of specific times or days in the query that would require checking current opening hours. The guidelines say to exclude opening hours if the answer lies in another document. Since exclusive collaborations are events, they're handled by the events document, so opening hours aren't needed here.
</think>
{
"reasoning": "The query is asking about exclusive collaborations, which would typically fall under upcoming events or special promotions. These topics are covered in the 'Upcoming Events' document, which includes details about one-off or seasonal events. The opening hours document does not contain information about collaborations or events, only regular operating hours and last orders. Since the answer would be found in 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 work with other businesses to provide unique, curated experiences?
### 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 step by step. The user is asking if the venue works with other businesses to provide unique, curated experiences. The task is to decide whether the opening hours document is relevant here.
First, I need to check what's in the opening hours document. It contains regular opening and closing times, last orders for bar and kitchen. That's it. The query is about partnerships or collaborations with other businesses, which sounds more like events or maybe vendor relationships.
Looking at the crossover topics, "UPCOMING EVENTS" might cover collaborations for events, but the opening hours document doesn't handle that. The query is asking about working with other businesses, which isn't directly about hours. Even if the curated experiences happen during certain times, that info would be in the events document, not the opening hours.
The guidelines mention including opening hours if there's intent to visit, but the user here isn't signaling a visit. They're asking about partnerships. Also, if the answer isn't in the opening hours doc, it should be excluded. Since the answer would need info from events or another section, opening hours aren't needed here.
So, the decision is exclude because the opening hours don't cover business partnerships or events details.
</think>
{
"reasoning": "The query is about whether the venue collaborates with other businesses to provide curated experiences, which pertains to partnerships or events rather than the venue's operating hours. The opening hours document does not contain information about business collaborations, events, or external partnerships. Additionally, none of the crossover topics (like events or reservations) that might overlap with opening hours are relevant here. Since the answer to the query would be found in a document unrelated to operating hours (e.g., events or general venue partnerships), the opening hours document is not required.",
"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 collaborative efforts that bring unique offerings to your space?
### 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 work through this step by step. The user is asking about collaborative efforts that bring unique offerings to the space. The query is "Are there any collaborative efforts that bring unique offerings to your space?"
First, I need to check if the opening hours document is relevant here. The document mainly contains regular opening and closing times, last orders for the bar and kitchen. The crossover topics listed include things like events, reservations, menus, and venue information.
The key here is to see if the query falls into any of those crossover areas. Collaborative efforts and unique offerings might relate to events, partnerships, or special menus. For example, if there's a collaboration with a local brewery or a pop-up event, that would be in the upcoming events or maybe the menu document.
The guidelines mention that if the answer would be in another document, exclude opening hours. Since the user is asking about collaborations and unique offerings, that's likely covered under events or venue information, not the standard operating hours. There's no mention of specific times or days in the query, which would trigger including opening hours. Also, the user isn't signaling intent to visit imminently, so even if there was a collaborative event, the opening hours for that specific event would be in the events document, not the regular hours.
Therefore, the opening hours document isn't needed here. The next node can answer using the events or venue info documents instead.
</think>
{
"reasoning": "The user is inquiring about collaborative efforts and unique offerings, which would typically involve partnerships, events, or special features of the venue. The opening hours document does not contain information about collaborations or unique offerings—those details would fall under the 'Upcoming Events' or 'Venue Information' documents. Since the query does not explicitly or implicitly reference operating hours, days of operation, or time-sensitive visitation intent, the opening hours document is not required to answer 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 create experiences in partnership with local or national brands?
### 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. The user is asking if the venue creates experiences in partnership with local or national brands. The task is to determine if the opening hours document is relevant here.
First, I check the document's content: it's about regular opening times, last orders, etc. The crossover topics mention that partnerships or brand collaborations would fall under other documents like events or venue information. The opening hours don't cover partnerships.
The guidelines say to include opening hours if the user mentions a specific time or shows intent to visit. But this query isn't about visiting times; it's about partnerships. Even if the user intended to visit, there's no mention of timing here.
Also, the crossover topics for events and venue info include partnerships, so the answer would be in those documents. Including opening hours here isn't necessary. The next node can answer without it because the opening hours don't relate to brand collaborations.
So, decision is exclude.
</think>
{
"reasoning": "The user is inquiring about partnerships with brands, which pertains to events or collaborations. The opening hours document does not contain information about partnerships, events, or brand collaborations. This query falls under crossover topics handled by other documents such as upcoming events or venue information. Including the opening hours document would not provide relevant context to answer the 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 ###
Are there opportunities to enjoy co-hosted or exclusive experiences 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 about co-hosted or exclusive experiences. The opening hours document only has regular hours, last orders, etc. Crossover topics mention that events, reservations, menus, and venue info are handled elsewhere. Co-hosted experiences sound like events or maybe special reservations, which are covered by the UPCOMING EVENTS or RESERVATIONS docs. The guidelines say if the answer is in a crossover topic, exclude the opening hours. Since the query is about experiences, which probably fall under events, the opening hours aren't needed here. The next node can use the events doc to answer. So decision should be exclude.
</think>
{
"reasoning": "The query asks about co-hosted or exclusive experiences, which pertains to events or special programming at the venue. The opening hours document does not contain information about experiences or events, as these are covered by the UPCOMING EVENTS document. Since the answer to the query falls under a crossover topic (events), 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 collaborate with creatives or businesses for one-of-a-kind 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 start by understanding the user's query. They're asking if the venue collaborates with creatives or businesses for one-of-a-kind offerings. That sounds like they're interested in partnerships or special events, maybe something like pop-up events or collaborations.
Now, looking at the opening hours document. Its purpose is to provide regular opening and closing times, last orders for the kitchen and bar. It doesn't mention anything about partnerships, collaborations, events, or special offerings.
Next, checking the crossover topics. The upcoming events document covers dates and times for events, which could include collaborations. The reservations, menu, and venue info documents handle other aspects, but none of these are directly related to collaborations either. However, the key point here is that the query is about collaborations or partnerships, which isn't listed under any of the crossover topics. Wait, actually, the query is about "one-of-a-kind offerings" which might be part of events. But the guidelines say that if the answer is in a crossover topic, exclude the opening hours.
Wait, the user is asking about collaborations with creatives or businesses. Even if such collaborations result in events, the events would be covered in the upcoming events document. But the opening hours document itself doesn't contain info about collaborations. The decision here is whether the opening hours are needed to answer the query. The answer to the query would likely be in another document, perhaps venue information or upcoming events. However, according to the crossover topics list, venue information includes things like address, facilities, takeout policy, dress code, etc. There's no mention of partnerships there.
But the guidelines state that if the answer is in a crossover topic, exclude opening hours. However, if the query's answer isn't in any of the listed crossover topics, then opening hours might still be needed if relevant. But in this case, the query isn't about operating hours. The user wants to know about collaborations. So the answer doesn't rely on knowing the opening hours. Therefore, the opening hours document isn't relevant here.
The reasoning is that the query is about partnerships or special offerings, which isn't covered in the opening hours document. The next node can answer using other documents (possibly venue info or events if relevant), so the opening hours should be excluded.
</think>
{
"reasoning": "The user's query asks about collaborations with creatives or businesses for unique offerings, which pertains to partnerships or special events. The opening hours document does not contain information about collaborations, partnerships, or event-specific offerings. This type of inquiry would fall under other documents, such as 'upcoming events' or 'venue information', which handle event details, partnerships, or venue policies. Since the answer to the query is not dependent on the venue's operating hours, the opening hours document is irrelevant 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 ###
Are partnerships with other companies part of your unique guest experiences?
### 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 I need to decide whether the opening hours document is relevant for answering the user's query about partnerships with other companies being part of unique guest experiences. Let me start by breaking down the query. The user is asking if partnerships with other companies contribute to their guest experiences. The opening hours document contains info on regular hours, last orders, etc., but nothing about partnerships or collaborations with other companies.
Looking at the crossover topics, the partnerships would likely fall under a different category, maybe venue information or events. But the guidelines mention that if the answer is in one of the crossover topics, the opening hours should be excluded. The query here is about partnerships, which isn't covered in the opening hours. The document's contents don't mention anything related to partnerships, company collaborations, or guest experiences beyond operational hours.
Guidelines also state to think if the next node can answer without the opening hours. Since partnerships aren't related to hours, the next node wouldn't need the opening hours here. Therefore, excluding the document is appropriate.
</think>
{
"reasoning": "The query asks about partnerships with other companies as part of unique guest experiences. The opening hours document does not contain any information about partnerships, collaborations, or guest experience offerings. This topic would fall under other documents (e.g., venue information or events), which handle operational collaborations or experiential details. Since partnerships are unrelated to operating hours, reservations, menus, or venue logistics covered in the opening hours document, excluding it is correct.",
"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 collaborations that bring exclusive opportunities to visitors?
### 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 organize collaborations that bring exclusive opportunities to visitors?" The task is to determine if the opening hours document is relevant here.
First, I need to check what the opening hours document contains. It has regular opening times, closing times, and last orders for the bar and kitchen. That's all about when the venue is open, not about collaborations or events.
Now, the query is about collaborations leading to exclusive opportunities. Looking at the crossover topics, collaborations would likely fall under UPCOMING EVENTS, which is handled in another document. The guidelines say if the answer is in a crossover topic, exclude the opening hours document.
Also, the user isn't mentioning anything about visiting hours, specific times, or needing to know if the venue is open. The question is purely about collaborations, which are events. Even if there was an event, the events document would include the necessary hours for that specific event.
The guidelines also mention that if the next node can't answer without opening hours, include it. But in this case, the next node would use the events document, which already has relevant hours if needed. Since the main topic is collaborations (events), the opening hours aren't needed here.
So, the decision is to exclude the opening hours document because the answer lies in the events document, a crossover topic.
</think>
{
"reasoning": "The query asks about collaborations and exclusive opportunities, which likely relate to events or special activities. The opening hours document only contains regular operating times and last orders, not information about collaborations or events. Since the answer would be found in the 'UPCOMING EVENTS' document (a crossover topic), the opening hours document is excluded to avoid redundancy and ensure the next node uses the correct data source.",
"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 co-created experiences with other businesses available for guests?
### 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 work through this problem step by step. The user is asking if there are co-created experiences with other businesses available for guests. I need to determine if the opening hours document is relevant here.
First, looking at the opening hours document: it contains regular opening and closing times, last orders for the bar and kitchen. That's all. The query is about partnerships or collaborative experiences with other businesses. That doesn't seem related to operating hours.
Next, checking the crossover topics. The "co-created experiences" likely fall under either Events or Venue Information. Upcoming Events include info about events, which might involve collaborations. Venue Information covers facilities and other business-related aspects. Since the opening hours doc is excluded if the answer is in another document, and the query is about partnerships/experiences, which aren't covered in opening hours, the opening hours doc shouldn't be included.
Also, the user isn't mentioning any specific time or intent to visit imminently. The guidelines say to include opening hours if the user signals intent to visit, like coming over to work, but here the query is purely about business collaborations. No mention of visiting times or needing to know if the venue is open.
Additionally, even if the next node needed context, the opening hours don't provide info about partnerships. The answer would rely on Events or Venue Info docs. So excluding opening hours here is correct because the required info isn't there, and including it wouldn't help the next node answer the query.
</think>
{
"reasoning": "The query asks about co-created experiences with other businesses, which relates to partnerships, events, or collaborative offerings. The opening hours document does not contain information about business collaborations, events (other than operational hours for regular days), or external partnerships. This topic would fall under the 'UPCOMING EVENTS' or 'VENUE INFORMATION' documents, which handle event details and venue-specific collaborations. Since the answer must be sourced from another document, the opening hours document is 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 collaborate with other businesses to create unique experiences?
### 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: "Do you collaborate with other businesses to create unique experiences?" The task is to determine if the opening hours document is relevant here.
First, the opening hours document includes regular operating times and last orders. The query is about collaborations, which sounds like partnerships or events. Now, checking the crossover topics. Collaborations might fall under upcoming events, which are handled in a different document. The UPCOMING EVENTS section mentions events like weekly, monthly, or seasonal ones, which would cover collaborations.
Also, the guidelines say to exclude opening hours if the answer is in another document. Since collaborations likely relate to events or partnerships handled elsewhere, the opening hours aren't needed here. The user isn't asking about when the venue is open or any specific time-related details; they're interested in business collaborations.
Even though the next node might need context, the answer to this specific question doesn't require knowing the operating hours. Therefore, the opening hours document isn't relevant here.
</think>
{
"reasoning": "The user's query asks about collaborations with other businesses to create unique experiences. This relates to partnerships or events, which fall under the 'UPCOMING EVENTS CONTENTS' or general venue operations not covered by the opening hours document. The opening hours document does not contain information about business collaborations, events, or partnerships. Since the answer to this query would be addressed in other documents (e.g., upcoming events or venue information), the opening hours document is irrelevant here 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 there any unique experiences available through partnerships with local brands?
### 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. The user is asking about unique experiences through partnerships with local brands. I need to check if the opening hours document is relevant here.
First, the opening hours document includes regular hours, last order times, and that's it. The question is about partnerships and experiences, which seems more like events or services offered. The crossover topics mention that upcoming events are handled in another document. Unique experiences through partnerships might fall under events or maybe venue information.
Checking the guidelines, if the query isn't about reservations and mentions a specific time, then include opening hours. But here, there's no mention of a time or day. The user is just asking about availability of experiences. Since partnerships and unique experiences would likely be covered in the events or venue info documents, the opening hours aren't needed here.
Also, the next node would need info from the events or partnerships section, not the operating hours. Without including opening hours, the next node can still answer about the partnerships. So excluding the document makes sense.
</think>
{
"reasoning": "The query asks about unique experiences through partnerships with local brands, which likely pertains to events, collaborations, or special services. The opening hours document only contains operational hours and last order times, which are unrelated to partnerships or experiences. Additionally, crossover topics like partnerships or events are managed in other documents (e.g., upcoming events or venue information). Since the query does not explicitly reference operational hours, days, or timeframes requiring confirmation of open/closed status, 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 host unique experiences developed in collaboration with other companies?
### 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 try to figure out if the opening hours document is needed for this query. The user is asking, "Do you host unique experiences developed in collaboration with other companies?"
First, the opening hours document has regular hours, last orders, etc. The crossover topics mention that if the answer is in another document (like Upcoming Events, Reservations, etc.), the opening hours should be excluded.
The query is about unique experiences, which sounds like it would fall under Upcoming Events or maybe Venue Information. The Upcoming Events document handles dates and times of events, including collaborations. Since the user is asking about hosting experiences with other companies, that's probably covered in the Upcoming Events or Venue Information docs, not the opening hours.
Even though the guidelines mention including opening hours if there's an intent to visit, the user here isn't indicating a specific time or day. They're just asking about the existence of such experiences. So there's no need to check if the venue is open when they might come.
Also, the next node (probably handling Upcoming Events) would need to answer this, and they don't require the opening hours since they have their own schedule. Therefore, excluding the opening hours document makes sense here.
</think>
{
"reasoning": "The user is asking about unique experiences developed in collaboration with other companies. This falls under the 'UPCOMING EVENTS CONTENTS' category, which explicitly includes details about events and collaborations. The opening hours document does not contain information about events, partnerships, or experiences, but rather focuses on regular operating hours and last order times. Since the answer to the query is covered by another document (Upcoming Events), the opening hours document should be excluded as per the crossover topics guidelines.",
"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 one-of-a-kind experiences offered through joint efforts with other organizations?
### 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 work through this. The user is asking about "one-of-a-kind experiences offered through joint efforts with other organizations." So first, I need to figure out what kind of information that would involve. It sounds like they're looking for special events or collaborations, maybe something like a themed night, a pop-up event, or a partnership with another company or local group.
Looking at the document to classify, which is the opening hours document, it only has regular opening times and last orders. The crossover topics mention that upcoming events are handled in a different document. The opening hours don't include information about events, collaborations, or experiences—those would be in the upcoming events document.
The guidelines also say that if the answer is in one of the crossover topics (like events here), we should exclude the opening hours document. Even though the user didn't explicitly mention a time, the query is about experiences from collaborations, which fall under events. The opening hours wouldn't help here because the next node would need the events document to answer about the experiences.
So, the decision should be to exclude the opening hours document because the answer lies in the upcoming events content, not in the operational hours.
</think>
{
"reasoning": "The user is inquiring about unique experiences resulting from collaborations with other organizations, which falls under upcoming events or special offerings. The opening hours document only contains regular operating hours and last order times, not information about events, partnerships, or experiential offerings. Since crossover topics explicitly state that event-related content is handled in other documents (e.g., UPCOMING EVENTS), the opening hours document is irrelevant to this query. The answer would require information from a different section entirely.",
"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 enjoy unique experiences created with the help of partner businesses?
### 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 I need to determine if the opening hours document is relevant for the query: "Can I enjoy unique experiences created with the help of partner businesses?" Let me break this down step by step.
First, the query is asking about unique experiences involving partner businesses. The opening hours document contains regular hours, last orders, etc. The crossover topics mention that if the answer lies in other documents like Upcoming Events, Reservations, Menu, or Venue Info, the opening hours should be excluded.
Looking at the crossover topics, unique experiences created with partners would likely fall under Upcoming Events, which includes details about events, including those with partners. The opening hours document doesn't cover events or partnerships. The guidelines say that if the answer is in another document's scope, exclude opening hours.
The user isn't asking about visiting times or hours, which would require the opening hours. They're asking about experiences provided through partnerships, which would be in the Events document. Therefore, the opening hours aren't needed here.
</think>
{
"reasoning": "The query asks about unique experiences involving partner businesses, which falls under the 'UPCOMING EVENTS' crossover topic. Since the opening hours document does not contain information about events, partnerships, or experiences, and the answer must come from the events document, the opening hours document is excluded. The decision aligns with the rule that documents should be excluded if another document is better suited to answer the 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 ###
Are there exclusive and unique experiences available through your collaborations?
### 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 about exclusive and unique experiences through collaborations. The opening hours document has the regular hours and last orders. The crossover topics mention that if the answer is in another document, like upcoming events or venue info, we should exclude opening hours. The query here is about collaborations/exclusive experiences, which probably fall under upcoming events or maybe venue information. The opening hours don't cover events details, so the answer would be in another document. So the decision should be exclude.
</think>
{
"reasoning": "The user's query is about exclusive and unique experiences tied to collaborations, which would fall under the scope of upcoming events or partnerships. The opening hours document does not contain information about collaborations, events, or special experiences—it only details regular operating hours and last order times. Since the answer to the query relies on information outside the opening hours document (likely in an events or partnerships document), the 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 partner with others to bring unique experiences to your space?
### 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 partners with others to bring unique experiences. The opening hours document includes regular hours and last orders but nothing about partnerships or events. The crossover topics mention that upcoming events and venue info are handled elsewhere. The query is about partnerships, which likely relates to events or collaborations. Since events are covered in the UPCOMING EVENTS document and partnerships might be part of venue information, the opening hours aren't relevant here. Also, the user isn't asking about timing or visiting intent that would require checking if the venue is open. So the decision should be to exclude the opening hours document.
</think>
{
"reasoning": "The user's query asks about partnerships for unique experiences, which relates to collaborations or events. The opening hours document does not contain information about partnerships, events, or venue collaborations. This topic is covered in other documents such as UPCOMING EVENTS or VENUE INFORMATION, which handle event details and venue partnerships. Since the query does not mention timeframes, reservations, or operational hours, the opening hours document is not required to answer this question. Excluding it ensures the next node focuses on the correct documents to address the partnership inquiry.",
"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 unique customer experiences designed with input from other businesses?
### 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 unique customer experiences designed with input from other businesses. First, I need to determine if the opening hours document is relevant here. The opening hours document only contains regular hours, last order times, etc. The query seems to be about collaborations or partnerships with other businesses to create experiences.
Looking at the crossover topics, the venues information document covers things like collaborations or partnerships. The opening hours don't mention anything about partnerships, events, or customer experiences. The user isn't asking about when the venue is open or any specific times, so including the opening hours here wouldn't help answer their question. The next node would need information from the venue information or possibly events documents, not the opening hours. So the decision is to exclude the opening hours document.
</think>
{
"reasoning": "The query asks about unique customer experiences designed with input from other businesses. The opening hours document does not contain information about partnerships, collaborations, or customer experience design, as these topics fall under venue information or upcoming events. Since the answer lies outside the scope of the opening hours document, it should be excluded to avoid redundancy and ensure the next node fetches the correct document for an accurate 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 ###
Do you provide unique experiences crafted alongside local creators or brands?
### 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 go through this step by step. The user is asking, "Do you provide unique experiences crafted alongside local creators or brands?" I need to check if the opening hours document is relevant here.
First, the opening hours document contains the venue's regular schedule and last order times. It doesn't mention anything about partnerships, events, or collaborations. The query is about unique experiences with local creators or brands, which sounds like it would fall under events or maybe venue information about special offerings.
Looking at the crossover topics, the UPCOMING EVENTS section includes details about events, which this query seems related to. Since the answer would be in the events document or another section, the opening hours doc isn't needed here. Also, the GUIDELINES say to exclude if the answer is in another document. The user isn't asking about timing or visiting hours, so including opening hours wouldn't help. The next node can answer using the events or venue info docs without needing the schedule. So the decision is to exclude the opening hours document.
</think>
{
"reasoning": "The query is asking about unique experiences involving local creators or brands, which relates to collaborations or events. The opening hours document does not contain information about partnerships, events, or experiences. This falls under the 'UPCOMING EVENTS' crossover topic, which is handled in a separate document. Including the opening hours document here would not provide relevant context to answer the query, as the answer lies outside its scope.",
"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 memorable, unique experiences offered through collaborative efforts?
### 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 work through this step by step. The user is asking about memorable, unique experiences through collaborative efforts. The opening hours document only has info on regular hours and last orders. The crossover topics mention that events are handled in another document (upcoming events), which includes details about dates and times of events. Since the query is about experiences that might be part of events or collaborations, the answer would come from the events document, not the opening hours. The guidelines say to exclude the opening hours if the answer is in a crossover topic. Even though events might have their own hours, the main answer doesn’t rely on the regular hours. So the decision here is to exclude the opening hours document.
</think>
{
"reasoning": "The query asks about memorable, unique experiences offered through collaborative efforts, which falls under event-related offerings. The opening hours document does not contain information about events, collaborations, or experiential offerings. These topics are explicitly covered in the 'upcoming events' and 'venue information' crossover documents. Including the opening hours document would add no value to answering this specific 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 have any special events coming up that need a reservation?
### 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 about special events that might require a reservation. The opening hours document contains regular hours and last orders, but the query is specifically about events needing reservations.
Looking at the crossover topics, the UPCOMING EVENTS section handles event dates and times, and the RESERVATIONS document includes details about reservation policies and availability. Even though the user mentions reservations, the main topic here is events, which are covered in a different document.
The guidelines mention that if the answer lies in a crossover topic, the opening hours should be excluded. Since the query is about events and their reservation requirements, the relevant info would be in the UPCOMING EVENTS and RESERVATIONS documents, not the opening hours. Even though reservations are involved, the core of the query is about events, which is outside the opening hours scope.
Also, there's no mention of a specific time or day in the query that would necessitate checking the regular hours. The next node can answer using the events and reservation docs without needing the opening hours. So, the decision is to exclude the opening hours document here.
</think>
{
"reasoning": "The user's query is about special events requiring reservations, which falls under the 'UPCOMING EVENTS' and 'RESERVATIONS' crossover topics. The opening hours document does not contain event-specific details or reservation policies, and the 7-day schedule in the reservations document would already cover operational hours for reservation-related queries. Including the opening hours document here would not add relevant context for answering the event-specific reservation inquiry.",
"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 exclusive activities happening soon that require tickets?
### 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. The user is asking about exclusive activities happening soon that require tickets. First, I need to see if the opening hours document is relevant here. The document contains regular opening and closing times, last orders, but no info on events or activities.
The query mentions "exclusive activities" and "tickets," which points to special events. The crossover topics list says that upcoming events, including dates and times, are handled in the events document. Since the opening hours don't cover events, the answer would come from the events document, not this one.
The guidelines mention that if the answer is in another document's scope (like events here), the opening hours should be excluded. Also, even though the user is asking about something happening soon, the events document would include the necessary details, including any relevant times. Therefore, including the opening hours here isn't necessary because the next node can answer using the events document without needing the regular hours. So the decision is "exclude."
</think>
{
"reasoning": "The user is inquiring about exclusive activities requiring tickets, which falls under the 'UPCOMING EVENTS' category as per the crossover topics. The opening hours document does not contain information about events, tickets, or exclusive activities. Since events and their details are managed in a separate document, the opening hours document is not relevant here. Including it would not contribute to answering the query and overlaps with the scope of another 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 I need to book in advance for any of your upcoming 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 me try to work through this problem step by step. The user's query is: "Do I need to book in advance for any of your upcoming events?"
First, I need to determine if the opening hours document is relevant here. The opening hours document includes regular opening times, last orders, etc. The user is asking about booking for events. The crossover topics mention that reservations-related queries (like booking policies, availability) are handled by the reservations document. The upcoming events document covers event dates and times.
The query specifically mentions "upcoming events" and whether booking is needed. According to the guidelines, if the answer lies in a crossover topic (like reservations or upcoming events), the opening hours document should be excluded. Since the user is asking about the need for reservations for events, this falls under the reservations policy, which is covered in the reservations document. Therefore, the opening hours document isn't needed here.
Additionally, the opening hours document doesn't contain information about booking policies or event-specific details. Including it wouldn't help answer the user's question, so it's better to exclude it to avoid unnecessary context for the next node.
</think>
{
"reasoning": "The query asks whether advance booking is required for upcoming events. The opening hours document does not contain information about reservations policies, event-specific booking requirements, or upcoming events details. This information is covered under the 'RESERVATIONS CONTENTS' and 'UPCOMING EVENTS CONTENTS' crossover topics, which are handled by other documents. Since the answer depends on reservation policies rather than general operating hours, the opening hours document is not relevant for 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 ###
Are reservations mandatory for any of the scheduled 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 me start by reading the user's query: "Are reservations mandatory for any of the scheduled events?" The main thing they're asking is whether reservations are required for events.
Now, looking at the document to classify, which is the opening hours document. That document includes regular opening and closing times for each day, plus last orders for the bar and kitchen. It doesn't mention anything about reservations or events policies.
Next, checking the crossover topics. The reservations document handles reservation policies, including whether they're mandatory. The upcoming events document would have info about specific events. Since the query is about reservations for events, this definitely falls under the reservations and events documents, which are separate from opening hours.
The guidelines say that if the answer is in another document (like reservations or events), opening hours should be excluded. Also, the opening hours document doesn't have any info on reservation requirements. Even though events might have their own hours listed in their respective documents, the user isn't asking about times but about reservation necessity.
So, including the opening hours here wouldn't help answer the query. The next node can handle the reservations and events info without needing the opening hours document. Therefore, the decision is to exclude the opening hours document.
</think>
{
"reasoning": "The query is asking about reservation requirements for scheduled events. The opening hours document does not contain information about reservation policies or event-specific requirements, which are covered in the Reservations and Upcoming Events documents. Since the answer lies within the Reservations document's scope, the opening hours document should be excluded to avoid redundancy and ensure the next node focuses on the correct data source.",
"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 ###
Is there a ticketing system for any future activities 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 me try to work through this. The user is asking about a ticketing system for future activities at the venue. The opening hours document they provided contains regular opening times, last orders, etc. Now, according to the crossover topics, anything about upcoming events, including their dates and times, is handled by the UPCOMING EVENTS document. The query here is specifically about ticketing for future activities, which I think falls under events.
The guidelines mention that if the query relates to a crossover topic, like events here, the opening hours document should be excluded because the answer would be in another document. Even though the opening hours might sometimes be needed for context, in this case, since the events document would handle event-specific details including any ticketing, there's no mention of time frames or needing to check if the venue is open. The user isn't asking about when the venue is open during an event, just about the ticketing system itself. So the next node can answer using the events document without needing the opening hours. Therefore, the decision should be to exclude the opening hours document.
</think>
{
"reasoning": "The query is asking about a ticketing system for future activities, which relates to event management. The opening hours document does not contain information about ticketing systems or future events, as these fall under the 'Upcoming Events' crossover topic. Since the answer would be handled 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 pre-booking for special occasions 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 offers pre-booking for special occasions or events. The task is to decide whether the opening hours document is relevant here.
First, the opening hours document contains regular operating times and last orders, but not reservation policies. The query is specifically about reservations for events. Checking the crossover topics, reservations are handled in a different document. The reservations document includes policies on bookings, availability, group bookings, etc.
The guidelines mention that if the query relates to reservations, even if a time is mentioned, the opening hours should be excluded because the answer lies in the reservations document. The user isn't asking about current operating times but about booking procedures. Including the opening hours here isn't necessary because the next node would use the reservations document to answer, which already has the necessary information, including the opening schedule if needed.
Therefore, the opening hours document isn't needed for this query. The decision should be to exclude it.
</think>
{
"reasoning": "The query asks about pre-booking for special occasions or events, which directly relates to the reservation policies and procedures. According to the crossover topics, reservations (including policies, availability, and group bookings) are covered in the reservations document, not the opening hours document. The opening hours document does not contain information about booking procedures, even though it includes a 7-day schedule. Since the answer to the user's question depends on reservation-specific details, the opening hours document is not relevant here 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 there any events where space is limited and requires a reservation?
### 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: "Are there any events where space is limited and requires a reservation?" The user is asking about events that need reservations because space is limited.
First, I need to check if the opening hours document is relevant. The opening hours doc includes regular hours and last order times. The query is about events requiring reservations.
Looking at the crossover topics, the 'UPCOMING EVENTS' document handles event dates and times, while 'RESERVATIONS' covers reservation policies and availability. Since the question is about events needing reservations, the answer would come from the Events and Reservations docs, not the opening hours.
The guidelines mention that if the answer is in another document's scope, exclude opening hours. Even though the user might need to know if the venue is open when the event happens, the events document should have the specific hours for those events. Also, there's no mention of a specific time or day in the query that would require checking current opening hours.
Therefore, including the opening hours here isn't necessary. The next node can use the Events and Reservations documents to answer without needing the opening hours. So, the decision is to exclude the opening hours document.
</think>
{
"reasoning": "The user is inquiring about events that require reservations due to limited space. The opening hours document does not contain information about events or reservation policies, which are covered in the 'UPCOMING EVENTS' and 'RESERVATIONS' documents. Since the query directly pertains to event-specific reservations and space constraints, the answer falls under the scope of other documents. The opening hours document is not needed to address 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 have any featured experiences that need advanced booking?
### 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 step by step. The user is asking, "Do you have any featured experiences that need advanced booking?" I need to determine if the opening hours document is relevant here.
First, looking at the query, it's about featured experiences that require booking. The main topics here are featured experiences and advanced booking. The opening hours document includes regular hours and last orders, but not events or reservations.
Now, checking the crossover topics. The reservations document covers reservation policies, availability, group bookings, etc. Featured experiences needing advanced booking probably fall under reservations or upcoming events. The UPCOMING EVENTS section handles dates and times of special events, while RESERVATIONS includes how to book and availability.
The guidelines mention that if the answer is in a crossover topic, exclude the opening hours. Since the query relates to reservations or events, those documents would handle it. Even though the opening hours have a 7-day schedule, the reservations document also includes that info. So including opening hours here isn't necessary because the answer lies elsewhere.
Also, the user didn't mention a specific time or day, so the guideline about including opening hours for imminent visits doesn't apply. The next node can answer without the opening hours since the required info is in another document.
</think>
{
"reasoning": "The query asks about featured experiences requiring advanced booking, which falls under reservations or upcoming events. The opening hours document does not contain information on reservations, events, or booking policies. The reservations document includes the 7-day schedule, so the opening hours document is not needed. The answer will be handled by other documents (reservations/events), so opening hours 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 tickets required for any of your seasonal or one-time 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 the query: "Are tickets required for any of your seasonal or one-time events?" The user is asking about ticket requirements for events, which clearly falls under the UPCOMING EVENTS category. The opening hours document doesn't contain information about events or ticket requirements.
Checking the CROSSOVER TOPICS, UPCOMING EVENTS handles event dates and times, including seasonal or one-time events. Since the query is about tickets for these events, the answer would be in the UPCOMING EVENTS document, not the opening hours.
The GUIDELINES mention that if the answer lies in another document's scope, we should exclude the opening hours. Here, the ticket inquiry is outside the opening hours document's scope and belongs to events. Therefore, including the opening hours isn't necessary as the next node can answer using the events document.
Additionally, there's no mention of timeframes or visiting intent in the query that would require opening hours. The decision is to exclude the document.
</think>
{
"reasoning": "The query asks about ticket requirements for seasonal or one-time events, which falls under the 'UPCOMING EVENTS CONTENTS' category. The opening hours document does not contain information about events, tickets, or reservations. Since the answer to the query is explicitly covered in a crossover topic (upcoming events), the opening hours document should be excluded as per the guidelines. Including it would not provide relevant context for answering the ticket-related inquiry.",
"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 I need to reserve a spot for any exclusive experiences happening soon?
### 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 they need to reserve a spot for any exclusive experiences happening soon. The main focus here is on reservations for exclusive experiences. The opening hours document contains regular hours and last order times, but reservations and events are handled in other documents.
The CROSSOVER TOPICS list mentions that reservations and upcoming events are covered in other documents. The query specifically mentions "exclusive experiences," which likely fall under upcoming events. Since the UPCOMING EVENTS document would include details about those experiences, including their dates and times, the opening hours document isn't needed here.
The GUIDELINES state that even if a time or day is mentioned, if the core of the query relates to a crossover topic like reservations or events, the opening hours should be excluded. In this case, the reservation aspect and exclusive experiences are covered by other documents. Therefore, including the opening hours wouldn't help the next node answer the query accurately. The decision is to exclude the document because the answer lies in the reservations or events documents.
</think>
{
"reasoning": "The query is asking about reservations for exclusive experiences, which falls under the 'RESERVATIONS CONTENTS' and 'UPCOMING EVENTS CONTENTS' crossover topics. The opening hours document does not contain information about reservations policies, exclusive events, or reservation availability. Since these topics are explicitly handled in other documents, the opening hours document is not relevant here. Additionally, the query does not mention a specific timeframe (e.g., a day or time) that would require checking the regular operating hours for 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 any limited-capacity events that require prior reservations?
### 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 there are any limited-capacity events that require prior reservations. The opening hours document has the regular opening times, last orders, etc. Now, the crossover topics mention that reservations-related info, like reservation policies, availability, etc., are handled in the reservations document. The query here is specifically about events needing reservations. Since events and reservations are covered in other documents (UPCOMING EVENTS and RESERVATIONS), the opening hours doc isn't the right source here. Even though the user is asking about events, which might involve timing, the events document would have their specific hours. So including opening hours isn't necessary here. The decision should be to exclude the document.
</think>
{
"reasoning": "The query asks about limited-capacity events requiring prior reservations. The opening hours document only contains regular operating hours and last order times, not event-specific details or reservation policies. Reservation requirements and event capacity details are covered in the 'Upcoming Events' and 'Reservations' documents, which handle these crossover topics explicitly. Including the opening hours document would not provide relevant information to answer the 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 any of your upcoming programs require a ticket purchase?
### 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, I need to determine if the opening hours document is relevant for answering the user's query: "Do any of your upcoming programs require a ticket purchase?" Let's break this down step by step.
First, the query is asking about upcoming programs that might require purchasing a ticket. The opening hours document contains regular opening and closing times, but not information about events or programs. The crossover topics mention that upcoming events, including ticket requirements, are handled in the UPCOMING EVENTS document. Since the user is specifically asking about programs that need tickets, that falls under the events category, not the opening hours.
Additionally, the guidelines state that if the answer is in a crossover topic, the opening hours should be excluded. Even if the user might visit, there's no mention of a specific time or day in the query that would necessitate checking current opening hours. Therefore, including the opening hours here wouldn't help, as the ticket info is elsewhere. The next node can answer using the events document without needing the opening hours. So the decision should be to exclude.
</think>
{
"reasoning": "The query asks about upcoming programs requiring a ticket purchase, which falls under the 'UPCOMING EVENTS' crossover topic. The opening hours document does not include event-specific details like ticket requirements. Since the answer would be found in another document (e.g., events or reservations), the opening hours document is not relevant here and should be excluded to avoid redundancy and ensure the next node uses the correct data source.",
"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 ###
Is pre-registration necessary for any of the events 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>
Alright, let's tackle this query. The user is asking if pre-registration is necessary for any events at the venue. The first thing I need to do is check if the opening hours document is relevant here.
The opening hours document contains regular opening times, closing times, and last orders for the bar and kitchen. It doesn't mention events, registrations, or anything related to event requirements. The query is specifically about whether pre-registration is needed for events, which falls under event policies.
Looking at the crossover topics, the UPCOMING EVENTS document handles event details, including dates and times. RESERVATIONS cover policies like reservations, group bookings, cancellations, etc. Since pre-registration is similar to reservations or event sign-ups, it's likely covered in the RESERVATIONS or UPCOMING EVENTS documents.
The guidelines mention that if the answer lies in a crossover topic, the opening hours document should be excluded. Additionally, there's no mention of specific times or days in the query that would necessitate checking the opening hours. The user isn't asking about when the venue is open but about registration for events.
Therefore, the opening hours document isn't needed here. The next node can answer using the relevant event or reservation documents without needing the opening hours. Excluding it avoids unnecessary information and ensures the response is accurate based on the correct document.
</think>
{
"reasoning": "The query is asking about pre-registration for events, which falls under the 'UPCOMING EVENTS' or 'RESERVATIONS' crossover topics. The opening hours document does not contain information about event registration requirements, policies, or procedures. Since the answer lies in a crossover topic 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 ###
Do you host any ticketed events or activities on a regular basis?
### 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 ticketed events or activities regularly. The document in question is the opening hours, which includes regular operating times and last orders.
Now, looking at the crossover topics, events are covered in the "Upcoming Events" document. The opening hours don't mention events, only standard operating hours. The query is specifically about events, so even though the opening hours might be related to when events could happen, the actual answer about events would come from the Events document.
Also, the guidelines say that if the answer is in another document like Upcoming Events, we exclude the opening hours. Since the user's question is about ticketed events, which is a different document's responsibility, the opening hours aren't needed here. The next node can answer using the Events info without needing the operating hours. Plus, there's no mention of specific times or days in the query that would require checking if the venue is open during those times. So the decision should be to exclude the opening hours document.
</think>
{
"reasoning": "The query asks about ticketed events or activities, which falls under the 'Upcoming Events' document. The opening hours document does not contain information about events, only regular operating times. Since the answer requires information from a different document, the opening hours document is irrelevant here 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 there any upcoming themed nights that need reservations?
### 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 about upcoming themed nights that require reservations. The opening hours document here includes regular hours and last order times, but not event specifics. The crossover topics mention that events and reservations are handled in other documents. The UPCOMING EVENTS document would have details on themed nights, including dates and times. The RESERVATIONS document covers reservation policies. Since the query is about both events and reservations, the answer isn't in the opening hours. Plus, guidelines say to exclude the opening hours if the answer is in another document. So the decision is to exclude.
</think>
{
"reasoning": "The query asks about upcoming themed nights requiring reservations. The opening hours document contains regular operating hours and last order times but does not include information about events or reservation requirements. Themed nights fall under 'UPCOMING EVENTS CONTENTS' and reservation policies fall under 'RESERVATIONS CONTENTS', both of which are handled by other documents. Since the answer lies in crossover topics, 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 ###
Will any special occasions require advance ticketing or booking?
### 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 any special occasions require advance ticketing or booking. The document in question is the opening hours, which includes regular hours and last orders. Now, the CROSSOVER TOPICS mention that reservations and upcoming events are handled in other documents. The query is about special occasions needing bookings or tickets, which sounds like it would fall under upcoming events or reservations. The opening hours don't cover events or booking policies, so those details would be in their respective documents. The guidelines say to exclude opening hours if the answer is in another document. Also, since the user is asking about special occasions, that's likely an event, which isn't covered in the opening hours. So, the decision should be to exclude the opening hours document here.
</think>
{
"reasoning": "The query asks about special occasions requiring advance ticketing or booking, which pertains to event-specific requirements. The opening hours document only contains regular operating hours and last order times, but does not cover special events, ticketing, or reservation policies. These topics fall under the 'UPCOMING EVENTS' and 'RESERVATIONS' crossover documents, which handle event details and booking requirements. 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 ###
Do I need to reserve seats for any of your exclusive programs?
### 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 if they need to reserve seats for any exclusive programs. The task is to determine if the opening hours document is relevant here.
First, the opening hours document contains regular opening times and last orders. The query is about reservations for exclusive programs. Looking at the crossover topics, reservations are handled in the RESERVATIONS document, which includes policies and availability. Since the user is asking about needing reservations for programs, even though "exclusive programs" might relate to events, the direct mention of reservations points to the RESERVATIONS document.
The guidelines mention that if the query falls under a crossover topic, like reservations, the opening hours should be excluded. Even though the opening hours might have some schedule info, the RESERVATIONS document already includes the 7-day schedule, so including both would be redundant. Therefore, the answer lies in the RESERVATIONS document, not the opening hours. So, the decision is to exclude.
</think>
{
"reasoning": "The query asks about reserving seats for exclusive programs, which directly relates to reservation policies and availability. According to the crossover topics, reservation-related queries are handled by the RESERVATIONS document, which includes the necessary information like reservation policies and availability. The opening hours document does not cover reservation requirements for programs, and including it would be redundant since the RESERVATIONS document already contains a 7-day opening schedule. Therefore, the opening hours document is excluded as the answer lies outside its scope.",
"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 unique gatherings planned that require tickets?
### 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 unique gatherings planned that require tickets. The opening hours document contains regular hours and last order times, but not events. The crossover topics mention that upcoming events are handled in another document. So, even though the user is asking about gatherings needing tickets, which is an event-related question, the opening hours doc doesn't cover events. Therefore, including it wouldn't help here. The answer should come from the events document. Also, the query doesn't mention a specific time or day that would require checking current opening hours. So, decision is exclude.
</think>
{
"reasoning": "The user is inquiring about unique gatherings that require tickets, which falls under the 'Upcoming Events' category. The opening hours document does not contain information about events, tickets, or gatherings, as these are handled in a separate document. Since the query is specifically about events requiring tickets, the opening hours document is irrelevant here. The answer to this query would be found in the 'Upcoming Events' document, not 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 offer early booking options for limited-time 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 break this down. The user is asking, "Do you offer early booking options for limited-time events?" I need to determine if the opening hours document is relevant here.
First, the opening hours document includes regular hours and last order times. The query is about booking options for events. Checking the crossover topics, reservations handle booking policies, availability, etc. Since the question is specifically about booking options, that falls under the reservations document.
The guidelines mention to exclude opening hours if the answer lies in another document. Here, early booking options are a reservation matter. The opening hours don't cover booking processes. Even if the user is planning to visit, the core of the query is about booking availability, which is handled elsewhere.
Also, there's no mention of a specific time or day in the query that would require checking current opening hours. The events' scheduling would be in the events document. Therefore, the opening hours document isn't needed here. Decision is to exclude.
</think>
{
"reasoning": "The query asks about early booking options for limited-time events, which pertains to reservation policies and availability. The opening hours document does not contain information about booking options, reservation policies, or event-related availability. This information is covered in the reservations and upcoming events documents. Since the answer to the query lies in a crossover topic (reservations), 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 ###
Are any of your planned events available only by reservation?
### 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 any of your planned events available only by reservation?" The user is asking about events that require reservations.
First, I need to check if the opening hours document is relevant here. The opening hours doc includes regular hours and last order times, but not event details or reservation policies.
Looking at the crossover topics, events and reservations are handled in other documents. The UPCOMING EVENTS document covers event dates and times, while RESERVATIONS includes reservation policies and availability. The query specifically asks about events that need reservations, which falls under both Events and Reservations.
The guidelines say that if the answer is in a crossover topic, the opening hours doc should be excluded. Even though the question mentions reservations, the main focus is on events requiring them. Since Events and Reservations documents handle that, the opening hours doc isn't needed here. Also, the opening hours don't provide info on event-specific reservations.
So, including the opening hours wouldn't help answer the query, and the next node can rely on the Events and Reservations docs instead. Therefore, the decision is to exclude the opening hours document.
</think>
{
"reasoning": "The query asks about whether planned events require reservations, which pertains to event-specific reservation policies. The opening hours document does not contain information about events or reservation requirements. This information is covered in the 'UPCOMING EVENTS' and 'RESERVATIONS' crossover topics, meaning the answer lies outside the scope of the opening hours document. Including it would not contribute to answering the 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 any of your upcoming shows require advance booking?
### 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: "Do any of your upcoming shows require advance booking?" The user is asking about whether advance booking is needed for upcoming shows.
First, I need to check which document would handle this. The opening hours document contains regular opening times and last orders, but the query is about shows and their booking requirements. The Crossover Topics mention that UPCOMING EVENTS handle dates, start/close times of events, and RESERVATIONS cover policies like advance booking.
The question specifically mentions "advance booking," which falls under the Reservations document, not Opening Hours. Even if the next node needs to know if the venue is open, the Reservations document already includes the 7-day schedule. So including Opening Hours here would be redundant.
The Guidelines say to exclude Opening Hours if the answer is in another document. Since the query is about reservations for events, it's handled by the Reservations or Upcoming Events documents. Therefore, the Opening Hours document isn't needed here.
</think>
{
"reasoning": "The query asks about advance booking for upcoming shows, which relates to reservation policies and event details. The opening hours document does not contain information about reservations or events, as these are covered by the reservations and upcoming events documents. Even though the opening hours include a 7-day schedule, the reservations document already has this information, making the opening hours document redundant for 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 ###
Are there any limited-access events that need pre-registration?
### 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 the query: "Are there any limited-access events that need pre-registration?" The user is asking about events that require pre-registration.
Looking at the opening hours document, it contains regular opening times, closing times, and last orders. The question is about events, which fall under the "UPCOMING EVENTS CONTENTS" in the crossover topics. The guidelines say if the answer is in another document (like events), the opening hours should be excluded.
Also, the query doesn't mention a specific time or day, so there's no need to check if the venue is open when the user plans to visit. Since events are handled in another document and the opening hours don't include event details, excluding the document makes sense. The next node can use the events document to answer without needing the opening hours here.
</think>
{
"reasoning": "The query is about limited-access events requiring pre-registration, which falls under the 'UPCOMING EVENTS CONTENTS' crossover topic. The opening hours document does not contain event-specific details like pre-registration requirements or event schedules. Since the answer must be sourced from the events document, the opening hours document should be excluded to avoid redundancy and ensure the next node references the correct data source.",
"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 any events where tickets must be purchased in advance?
### 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. The user is asking if the venue hosts events that require tickets to be bought in advance. The task is to decide if the opening hours document is relevant here.
First, looking at the opening hours document, it includes regular hours and last order times but nothing about events or ticketing. The query is about events needing tickets, which falls under the "Upcoming Events" crossover topic. Since the opening hours don't cover event details, the answer would come from the events document, not opening hours.
Also, the guidelines mention excluding opening hours if the answer is in another document’s scope. Since events are handled elsewhere, the decision here would be to exclude the opening hours document. The next node can answer using the events info without needing the hours.
</think>
{
"reasoning": "The query asks about events requiring advance ticket purchases, which falls under the 'Upcoming Events' crossover topic. The opening hours document does not contain information about events or ticketing policies, only operational hours and last order times. Since the answer would be found in the events-related document, the opening hours document should be excluded to avoid redundant or irrelevant 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 specific activities that require reserving a spot beforehand?
### 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's query is asking if there are specific activities that require reserving a spot beforehand. The task is to determine whether the opening hours document is relevant here.
First, looking at the document's contents: it includes regular opening and closing times, last orders for bar and kitchen. But the user is asking about reservations for activities.
Now, checking the crossover topics. The Reservations document covers reservation policies, availability, group bookings, etc. So if the query is about needing reservations, that's handled there. The guidelines mention that if the answer lies in another document's scope, exclude opening hours.
The query is specifically about activities requiring reservations, which falls under Reservations content. Even though the opening hours might be part of the Reservations doc, according to the guidelines, if the query requires the Reservations document, opening hours should be excluded. Also, the next node (probably using Reservations doc) can answer without needing the opening hours here, as the Reservations doc already includes the 7-day schedule if needed.
Therefore, the decision should be to exclude the opening hours document.
</think>
{
"reasoning": "The query is asking about activities that require reservations, which directly pertains to the reservation policy. According to the crossover topics, reservations-related information is handled by the reservations document, which includes details like reservation policies and availability. Since the opening hours document's content (regular hours, last orders) does not address reservation requirements for activities, it should be excluded. The answer will be found in the reservations 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 ###
For any upcoming events, will I need to book ahead?
### 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. The user is asking, "For any upcoming events, will I need to book ahead?" So first, I need to figure out if the opening hours document is relevant here.
The opening hours document contains regular opening times and last orders, but not event-specific info. The query is about upcoming events and whether booking is needed. The events and reservations documents would handle that. The guidelines mention crossover topics: if the answer is in another document (like Reservations or Upcoming Events), exclude opening hours.
Even though the user is asking about booking for events, which relates to reservations, the opening hours might not be needed here. The reservations policy would cover whether booking is required. Also, the events document has its own opening times for those dates. The guidelines say that if another document (like Reservations or Events) can answer it, opening hours should be excluded.
But wait, the guidelines also say if the user mentions a specific time or day, include opening hours. However, the query here doesn't mention a specific time or day—it's a general question about upcoming events. Therefore, the opening hours aren't necessary because the answer about booking is covered by reservations, and event timings are in the events document. Next node can handle the answer without opening hours.
</think>
{
"reasoning": "The user's query is about whether booking is required for upcoming events. The opening hours document does not contain information about reservation policies or event-specific booking requirements, which are covered in the reservations and upcoming events documents. Since the answer to the query lies in the reservations policy (a crossover topic), the opening hours document is not required for the next node to address the user's question.",
"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 exclusive gatherings that require a prior reservation?
### 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 exclusive gatherings that require a prior reservation?" So, first, I need to figure out what kind of information they're seeking. The key terms here are "exclusive gatherings" and "prior reservation."
Looking at the opening hours document, it's about regular opening times, closing times, and last orders. That doesn't directly relate to reservations or exclusive events. The crossover topics list mentions that reservations information, including policies and availability, is handled in the Reservations document. The query is specifically about whether such gatherings exist and if they need reservations, which falls under the Reservations category, not the opening hours.
Even though the user might be planning to visit, the question isn't about when the venue is open but rather about the existence of events requiring reservations. Since the answer would depend on the Reservations document, which includes policies and availability, the opening hours document isn't necessary here. The next node can answer using the Reservations document without needing the opening times.
Additionally, there's no mention of a specific time or day in the query, so the guideline about including opening hours for imminent visits doesn't apply here. Therefore, excluding the opening hours document is the right call.
</think>
{
"reasoning": "The query is asking about exclusive gatherings that require prior reservations. This directly relates to reservation policies and availability, which are covered in the RESERVATIONS document. The opening hours document does not contain information about reservation requirements for events or gatherings. Since the answer would be found in the reservations document, the opening hours document should be excluded to avoid redundancy and ensure the next node uses the correct 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 tickets available now for any special activities 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 break down the user's query: "Are tickets available now for any special activities at your venue?" The user is asking about ticket availability for special activities.
First, I need to check if this relates to the opening hours document. The opening hours document contains regular operating times, last orders, etc. The crossover topics mention that events, including special activities, are handled in the upcoming events document. The query is about tickets for special activities, which falls under the upcoming events category.
According to the guidelines, if the query is about events or reservations, the opening hours document should be excluded because those topics are covered in other documents. Even if the user might need to know if the venue is open during the event, the events document should already include the relevant hours for those specific dates.
Also, the user isn't mentioning a specific time or day that would require checking the regular hours. They're focused on ticket availability for activities, which is outside the scope of the opening hours document. Therefore, including it here isn't necessary as the next node can answer using the events document without needing the general operating hours.
</think>
{
"reasoning": "The query asks about ticket availability for special activities, which pertains to upcoming events. The opening hours document does not contain information about events or ticket availability; this is handled by the upcoming events document. Since the core of the query falls under a crossover topic (events), 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 I need to secure a reservation for any of your future 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 tackle this query. The user is asking if they need to secure a reservation for future offerings. The document in question is the opening hours, which has regular hours and last order times. The crossover topics include reservations, which covers policies and availability. The query is about reservations for future offerings, which falls under the reservations document. The opening hours doc shouldn't be included because the answer is in another document. Also, the guidelines say to exclude if the answer is in crossover topics. So, decision is exclude.
</think>
{
"reasoning": "The query asks about the need for reservations for future offerings, which directly relates to the reservation policy and availability. These topics are covered in the 'RESERVATIONS CONTENTS' section of the crossover topics, not in the opening hours document. While the opening hours document includes a 7-day schedule, the reservations document also contains this information and is the appropriate source for answering reservation-related queries. Including the opening hours document would be redundant and unnecessary in this case.",
"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 ###
Will any of the events you're hosting soon require advance tickets?
### 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 any upcoming events require advance tickets. The opening hours document here has regular hours and last order times but doesn't mention events. The crossover topics say events are handled in the UPCOMING EVENTS document. So, even if the user is asking about tickets, that's part of event details, which the opening hours doc doesn't cover. Plus, the guidelines note that if the answer is in another document (like events), we exclude opening hours. The query isn't about hours or visiting times but events and tickets. So, the decision is exclude.
</think>
{
"reasoning": "The user's query is asking about whether upcoming events require advance tickets. The opening hours document does not contain information about events or ticket requirements; such details would be covered in the 'upcoming events' document. Since the query pertains to event-specific information, the opening hours document is not relevant for answering it.",
"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 featured experiences that need booking in advance?
### 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 featured experiences that require booking in advance. The opening hours document here includes regular opening and closing times, as well as last orders for the bar and kitchen.
Now, looking at the crossover topics, the reservations document handles things like booking policies, availability, group bookings, etc. The query is specifically about featured experiences needing advance booking. That seems related to reservations or maybe upcoming events. The opening hours don't cover booking requirements; they just tell when the place is open.
The guidelines mention that if the answer is in another document (like reservations or events), the opening hours should be excluded. Since featured experiences needing booking would fall under either reservations or events, the opening hours aren't necessary here. Also, the user isn't mentioning a specific time or day, so there's no need to check if the venue is open then.
Therefore, the decision is to exclude the opening hours document because the answer lies elsewhere.
</think>
{
"reasoning": "The query asks about featured experiences that require booking in advance, which pertains to reservation policies or event details. The opening hours document does not contain information about reservations, booking requirements, or featured experiences. Instead, reservations and upcoming events are handled by their respective documents (RESERVATIONS and UPCOMING EVENTS). Since the answer lies 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 ###
Do any of your planned celebrations require prior registration?
### 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's query is asking whether any planned celebrations require prior registration. The task is to determine if the opening hours document is relevant here.
First, I need to check what's in the opening hours document. It has regular opening and closing times for each day of the week, plus last orders for the bar and kitchen. That's it. No information about events, reservations, or registrations.
The query is about whether prior registration is needed for celebrations. That sounds like it's related to events or maybe reservations. Looking at the crossover topics, the "Upcoming Events" document covers event dates and times, and the "Reservations" document deals with policies like registration. The opening hours don't mention anything about registrations or event requirements.
The guidelines say that if the answer is in a crossover topic, the opening hours should be excluded. Since the question is about registration for celebrations, that's handled by either Events or Reservations, not the opening hours. Even if someone needed to know if the venue is open during an event, the Events document would include those hours. Also, the query doesn't mention a specific time or day that would make opening hours necessary here.
So the decision is to exclude the opening hours document because the answer lies in another document's scope.
</think>
{
"reasoning": "The user's query asks whether prior registration is required for planned celebrations, which pertains to event-specific policies. The opening hours document does not contain information about event registration requirements, which would fall under the 'Upcoming Events' or 'Reservations' documents. Since the query directly relates to crossover topics (event registration policies), the opening hours document is not relevant here and should be excluded.",
"decision": "exclude"
}
<｜end▁of▁sentence｜>
|
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