PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dbo: <http://dbpedia.org/ontology/>
PREFIX dbr: <http://dbpedia.org/resource/>
SELECT DISTINCT ?person ?label WHERE {
  ?person a dbo:Person ; dbo:birthPlace dbr:Sydney .
  OPTIONAL {
    ?person rdfs:label ?label FILTER ( LANG( ?label ) = 'en' )
  }
}
LIMIT 10

Got 10 rows and 2 columns:
| person                                                                        | label                       |
| ----------------------------------------------------------------------------- | --------------------------- |
| A. David Buckingham (dbr:A._David_Buckingham)                                 | A. David Buckingham (en)    |
| Aaron Mooy (dbr:Aaron_Mooy)                                                   | Aaron Mooy (en)             |
| Abbey McCulloch (dbr:Abbey_McCulloch)                                         | Abbey McCulloch (en)        |
| Abbie Myers (dbr:Abbie_Myers)                                                 | Abbie Myers (en)            |
| Adam Anderson (tennis) (<http://dbpedia.org/resource/Adam_Anderson_(tennis)>) | Adam Anderson (tennis) (en) |
| Adam Biddle (soccer) (<http://dbpedia.org/resource/Adam_Biddle_(soccer)>)     | Adam Biddle (soccer) (en)   |
| Adam Boland (dbr:Adam_Boland)                                                 | Adam Boland (en)            |
| Adam Casey (soccer) (<http://dbpedia.org/resource/Adam_Casey_(soccer)>)       | Adam Casey (soccer) (en)    |
| Adam Cullen (dbr:Adam_Cullen)                                                 | Adam Cullen (en)            |
| Adam D'Apuzzo (<http://dbpedia.org/resource/Adam_D'Apuzzo>)                   | Adam D'Apuzzo (en)          |

Here is a sample of people born in Sydney (not an exhaustive list): A. David Buckingham (dbr:A._David_Buckingham), Aaron Mooy (dbr:Aaron_Mooy), and others.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who's a person born in sydney?

[Assistant]
Let's break down the question:

1. We are looking for a person (entity of type dbo:Person).
2. The person should have a place of birth in Sydney.

First, I will search for the entity representing "Sydney" in DBpedia to get its IRI.

[Tool]
Top 10 entity alternatives:
1. Sydney (dbr:Sydney): Sydney ( (listen) SID-nee; Dharug: Cadi) is the capital city of ...made up of 658 suburbs, spread across 33 local government areas.
2. Sydney (<http://dbpedia.org/resource/Category:Sydney>)
3. .sydney (dbr:.sydney)
4. sydney (dbp:sydney)
5. Sydney FC, also known as The Sky Blues (dbr:Sydney_FC): Sydney Football Club is an Australian professional soccer club b...ompetition, the A-League, under licence from Football Australia.
6. Sydney Brenner, also known as Uncle Syd (dbr:Sydney_Brenner)
7. Sydney Swans (dbr:Sydney_Swans): The Sydney Swans is a professional Australian rules football clu...ub, and played amongst other clubs based in Melbourne, Victoria.
8. Sydney Kings (dbr:Sydney_Kings)
9. Sydney Pollack (dbr:Sydney_Pollack)
10. Sydney Leroux (dbr:Sydney_Leroux): Sydney Rae Leroux Dwyer (born May 7, 1990) is a professional soc...occer team starting in 2008 and later began playing for the U.S.

[Assistant]
The entity for the city of Sydney is dbr:Sydney.

Next, I need to determine the property used for "place of birth" in DBpedia. I'll search for properties related to "birth" to identify the correct one.

[Tool]
Top 10 property alternatives:
1. birth (dbp:birth)
2. birth palce (dbp:birthPalce)
3. countryofbirth (dbp:countryofbirth)
4. birth era (dbp:birthEra)
5. birth time (dbp:birthTime)
6. birth image (dbp:birthImage)
7. placeofbirth (dbp:placeofbirth)
8. date of christening (dbp:dateOfChristening)
9. date of christening (dbo:christeningDate): xsd:date, ship
10. birth data (dbp:birthData)

[Tool]
Top 10 property alternatives:
1. place of birth (dbp:placeOfBirth)
2. birth place (dbo:birthPlace): where the person was born, animal, place
3. birth place (dbp:birthPlace)
4. date of birth (dbp:dateOfBirth)
5. birth year (dbp:birthYear)
6. birth year (dbo:birthYear): xsd:gYear, person
7. born date (dbp:bornDate)
8. birth date (dbo:birthDate): xsd:date, animal
9. birth date (dbp:birthDate)
10. born year (dbp:bornYear)

[Assistant]
The most relevant property for "place of birth" is dbo:birthPlace.

Now, I will construct a SPARQL query to find a person (dbo:Person) whose dbo:birthPlace is dbr:Sydney. I will also optionally retrieve their label for readability.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 16 for token OPTIONAL with content 'OPTIONAL' (the input most likely does not follow the grammar)

[Assistant]
It appears there was a syntax issue in my query. The OPTIONAL clause should be placed inside the WHERE block, not as a direct argument to SELECT.

Let me correct the query and try again.

[Tool]
Got 10 rows and 2 columns:
| person                                        | label                       |
| --------------------------------------------- | --------------------------- |
| A. David Buckingham (dbr:A._David_Buckingham) | A. David Buckingham (de)    |
| A. David Buckingham (dbr:A._David_Buckingham) | A. David Buckingham (en)    |
| A. David Buckingham (dbr:A._David_Buckingham) | Amyand Buckingham (fr)      |
| A. David Buckingham (dbr:A._David_Buckingham) | Amyand Buckingham (pt)      |
| A. David Buckingham (dbr:A._David_Buckingham) | Букингем, Эмианд Дэвид (ru) |
| A. David Buckingham (dbr:A._David_Buckingham) | ديفيد باكنغهام (ar)         |
| Aaron Mooy (dbr:Aaron_Mooy)                   | Aaron Mooy (ca)             |
| Aaron Mooy (dbr:Aaron_Mooy)                   | Aaron Mooy (de)             |
| Aaron Mooy (dbr:Aaron_Mooy)                   | Aaron Mooy (en)             |
| Aaron Mooy (dbr:Aaron_Mooy)                   | Aaron Mooy (es)             |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is generally correct and returns people born in Sydney, as requested. However, the answer should be refined in two ways:

1. The answer should not include duplicate entities (A. David Buckingham appears multiple times due to multiple labels). The query should use DISTINCT to avoid this.
2. The answer should clarify that the list is not exhaustive and is just a sample (which is implied by LIMIT 10, but could be stated more clearly).
3. Optionally, to improve readability, the query could filter for English labels (e.g., FILTER(LANG(?label) = 'en')) if labels are shown, but this is not strictly necessary unless the user requests it.

Suggested refinement: Add DISTINCT to the SELECT clause to avoid duplicate people, and optionally filter for English labels.

[Assistant]
Thank you for your feedback. Here’s how I will refine the query and answer:

1. I will add DISTINCT to the SELECT clause to ensure each person appears only once, regardless of how many labels they have.
2. I will clarify in the answer that this is just a sample of people born in Sydney.
3. I will also filter for English labels for better readability, as an optional improvement.

Here is the improved query and answer.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves people born in Sydney by selecting instances of dbo:Person with dbo:birthPlace dbr:Sydney, and optionally includes their English labels. The query returns IRIs as required and does not use any unsupported constructs. The answer is a sample, as expected with the LIMIT 10. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dbo: <http://dbpedia.org/ontology/>
PREFIX dbr: <http://dbpedia.org/resource/>
SELECT ?company ?companyLabel WHERE {
  dbr:The_Outside_Chance_of_Maximilian_Glick dbo:productionCompany ?company .
  OPTIONAL {
    ?company rdfs:label ?companyLabel FILTER ( lang( ?companyLabel ) = 'en' )
  }
}

The production company of 'The Outside Chance of Maximilian Glick' is the National Film Board of Canada (dbr:National_Film_Board_of_Canada).

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what is the production company of the outside chance of maximilian glick?

[Assistant]
Let's break down the question:

1. The entity is "The Outside Chance of Maximilian Glick", which is a film.
2. The property we are interested in is the "production company".

First, I will search for the entity "The Outside Chance of Maximilian Glick" in DBpedia to get its IRI.

[Tool]
Top 10 entity alternatives:
1. The Outside Chance of Maximilian Glick (dbr:The_Outside_Chance_of_Maximilian_Glick)
2. The Curiosity of Chance (dbr:The_Curiosity_of_Chance): The Curiosity of Chance is a 2006 comedy film directed by Russel... produced by Bigfoot Entertainment and starring Tad Hilgenbrink.
3. The Logic of Chance (dbr:The_Logic_of_Chance): The Logic of Chance is the second album by dan le sac vs Scroobi... title of a book by John Venn, the inventor of the Venn Diagram.
4. The Wheels of Chance (dbr:The_Wheels_of_Chance): The Wheels of Chance is an early comic novel by H. G. Wells abou...o a silent film The Wheels of Chance directed by Harold M. Shaw.
5. The Music of Chance (dbr:The_Music_of_Chance)
6. The Chain of Chance (dbr:The_Chain_of_Chance): The Chain of Chance (original Polish title: Katar, literally, "R...ey have all happened purely by chance (hence the English title).
7. The Car of Chance (dbr:The_Car_of_Chance): The Car of Chance is a 1917 American silent drama film directed ...ton and starring Franklyn Farnum, Agnes Vernon and Helen Wright.
8. The Taming of Chance (dbr:The_Taming_of_Chance): The Taming of Chance is a 1990 book about the history of probabi...gence of Probability (1975). The book received positive reviews.
9. The Minister of Chance (dbr:The_Minister_of_Chance)
10. The Philosophy of Chance (dbr:The_Philosophy_of_Chance): The Philosophy of Chance, with subtitle "Literature in the Light...ry theory and the influence of literature on the modern culture.

[Assistant]
The top search result matches the film: dbr:The_Outside_Chance_of_Maximilian_Glick.

Next, I need to find the property in DBpedia that represents the "production company" of a film. I will search for properties related to "production company".

[Tool]
Top 10 property alternatives:
1. production company (dbp:productionCompany)
2. production company (dbo:productionCompany): the company that produced the work e.g. Film, MusicalWork, Software, company, work
3. production companies (dbp:productionCompanies)
4. Production Partner (dbp:productionPartner)
5. produced by (dbp:producedBy)
6. agency producer (dbp:agencyProducer)
7. production (dbo:production): xsd:nonNegativeInteger, company
8. production (dbp:production)
9. producer (dbo:producer): The producer of the creative work., agent, work
10. producer (dbp:producer)

[Assistant]
There are two main candidates for the property: dbo:productionCompany and dbp:productionCompany. The dbo:productionCompany is the ontology property and is more likely to be structured, so I will use that first.

Now, I will construct a SPARQL query to find the production company of dbr:The_Outside_Chance_of_Maximilian_Glick using dbo:productionCompany, and also retrieve its label if available.

[Tool]
Got 1 row and 2 columns:
| company                                                           | companyLabel                       |
| ----------------------------------------------------------------- | ---------------------------------- |
| National Film Board of Canada (dbr:National_Film_Board_of_Canada) | National Film Board of Canada (en) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the production company of 'The Outside Chance of Maximilian Glick' by querying the dbo:productionCompany property for the relevant entity. The query returns the IRI of the company and optionally its English label, which matches the user's request. The answer is accurate and complete according to the data in DBpedia. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dbo: <http://dbpedia.org/ontology/>
PREFIX dbr: <http://dbpedia.org/resource/>
PREFIX dbp: <http://dbpedia.org/property/>
SELECT ?album ?label WHERE {
  ?album a dbo:Album ; dbp:genre dbr:Hard_rock .
  OPTIONAL {
    ?album rdfs:label ?label .
    FILTER ( lang( ?label ) = 'en' )
  }
}
LIMIT 5

Got 5 rows and 2 columns:
| album                                                                                | label                                       |
| ------------------------------------------------------------------------------------------------------------- | ------------------------------------------- |
| ¿Dónde Están Mis Amigos? (<http://dbpedia.org/resource/¿Dónde_Están_Mis_Amigos%3F>)                           | ¿Dónde Están Mis Amigos? (en)               |
| ...Like Clockwork (dbr:...Like_Clockwork)                                                                     | ...Like Clockwork (en)                      |
| ...The Stories We Could Tell (dbr:...The_Stories_We_Could_Tell)                                               | ...The Stories We Could Tell (en)           |
| ...To Be Loved: The Best of Papa Roach (<http://dbpedia.org/resource/...To_Be_Loved:_The_Best_of_Papa_Roach>) | ...To Be Loved: The Best of Papa Roach (en) |
| ...Ya Know? (<http://dbpedia.org/resource/...Ya_Know%3F>)                                                     | ...Ya Know? (en)                            |

An example of a hard rock album is "...Like Clockwork" (http://dbpedia.org/resource/...Like_Clockwork).

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] what's an example of a hard rock album

[Assistant]
Let's break down the question:

1. We are looking for an example of an album that is classified as "hard rock".
2. We need to identify the entity for "hard rock" in DBpedia.
3. Then, we need to find albums (likely instances of dbo:Album) that have a genre property pointing to "hard rock".

First, I will search for the entity "hard rock" in DBpedia.

[Tool]
Top 10 entity alternatives:
1. Hard rock (dbr:Hard_rock): Hard rock or heavy rock is a loosely defined subgenre of rock mu...ng Stones, the Yardbirds, Cream and the Jimi Hendrix Experience.
2. Rock Hard (dbr:Rock_Hard): "Rock Hard" is a single by the Beastie Boys, released by Def Jam...Sounds of Science, AC/DC refused to allow the sample to be used.
3. Jahmal Harvey, also known as Hard Rock (dbr:Jahmal_Harvey)
4. Hard rock (<http://dbpedia.org/resource/Category:Hard_rock>)
5. Hard Rock (dbr:Hard_Rock)
6. Hård rock (<http://dbpedia.org/resource/Hård_rock>)
7. Hard Rock Stadium (dbr:Hard_Rock_Stadium): Hard Rock Stadium is a multi-purpose stadium located in Miami Ga...ollege football bowl game, and the Miami Open tennis tournament.
8. Hard Rock Cafe (dbr:Hard_Rock_Cafe)
9. Hard Rock Hallelujah (dbr:Hard_Rock_Hallelujah): "Hard Rock Hallelujah" is a song by Finnish hard rock band Lordi...h Eurovision entry in the 40 years the country had participated.
10. Rock Hard Ten (dbr:Rock_Hard_Ten): Rock Hard Ten (foaled April 5, 2001, in Kentucky) is an American.... He was sired by Kris S., out of the Mr. Prospector mare Tersa.

[Assistant]
The most relevant entity for the genre "hard rock" is dbr:Hard_rock.

Next, I need to find albums (likely instances of dbo:Album) that have a genre property pointing to dbr:Hard_rock. I will search for properties related to "genre" to confirm the correct property to use.

[Tool]
Top 10 property alternatives:
1. genre (dbo:genre): The genre of the thing (music group, film, etc.), genre
2. genre (dbp:genre)
3. genres (dbp:genres)
4. genre header (dbp:genreHeader)
5. literary genre (dbo:literaryGenre): A literary genre is a category of literary composition. Genres m...ique, tone, content, or even (as in the case of fiction) length., written work, genre
6. music subgenre (dbo:musicSubgenre): music genre
7. music title (dbp:musicTitle)
8. multigenre (dbp:multigenre)
9. song type (dbp:songType)
10. subgenres (dbp:subgenres)

[Assistant]
The most relevant property for genre is dbo:genre.

Now, I will construct a SPARQL query to find an album (dbo:Album) that has dbo:genre dbr:Hard_rock. I will also try to return the album's IRI and optionally its label.

Here is the query I will use:
```sparql
SELECT ?album WHERE {
  ?album a dbo:Album ;
         dbo:genre dbr:Hard_rock .
}
LIMIT 1
```
I will execute this query to get an example.

[Tool]
Got 1 row and 1 column:
| album                                                                       |
| --------------------------------------------------------------------------- |
| All the Madmen (song) (<http://dbpedia.org/resource/All_the_Madmen_(song)>) |

[Assistant]
The query returned "All the Madmen (song)" as an example, but this appears to be a song, not an album. To improve the result, I will also retrieve the label and ensure that the result is indeed an album. Additionally, I will increase the limit to get more options and check their labels.

Here is the refined query:
```sparql
SELECT ?album ?label WHERE {
  ?album a dbo:Album ;
         dbo:genre dbr:Hard_rock .
  OPTIONAL { ?album rdfs:label ?label . FILTER (lang(?label) = 'en') }
}
LIMIT 5
```
I will execute this query to get better examples.

[Tool]
Got 5 rows and 2 columns:
| album                                                                       | label                      |
| --------------------------------------------------------------------------- | -------------------------- |
| All the Madmen (song) (<http://dbpedia.org/resource/All_the_Madmen_(song)>) | All the Madmen (song) (en) |
| Aqualung (song) (<http://dbpedia.org/resource/Aqualung_(song)>)             | Aqualung (song) (en)       |
| Big Generator (song) (<http://dbpedia.org/resource/Big_Generator_(song)>)   | Big Generator (song) (en)  |
| Black Country Rock (dbr:Black_Country_Rock)                                 | Black Country Rock (en)    |
| Coma White (dbr:Coma_White)                                                 | Coma White (en)            |

[Assistant]
The results are still returning songs rather than albums, even though the query specifies dbo:Album. This suggests that some entities may be incorrectly typed in DBpedia.

To improve accuracy, I will try searching for albums with the genre "hard rock" using the dbp:genre property, which is sometimes used for music genres in DBpedia. I will also filter for entities that are explicitly typed as dbo:Album.

Here is the revised query:
```sparql
SELECT ?album ?label WHERE {
  ?album a dbo:Album ;
         dbp:genre dbr:Hard_rock .
  OPTIONAL { ?album rdfs:label ?label . FILTER (lang(?label) = 'en') }
}
LIMIT 5
```
I will execute this query to see if it returns better examples.

[Tool]
Got 5 rows and 2 columns:
| album                                                                                | label                                       |
| ------------------------------------------------------------------------------------------------------------- | ------------------------------------------- |
| ¿Dónde Están Mis Amigos? (<http://dbpedia.org/resource/¿Dónde_Están_Mis_Amigos%3F>)                           | ¿Dónde Están Mis Amigos? (en)               |
| ...Like Clockwork (dbr:...Like_Clockwork)                                                                     | ...Like Clockwork (en)                      |
| ...The Stories We Could Tell (dbr:...The_Stories_We_Could_Tell)                                               | ...The Stories We Could Tell (en)           |
| ...To Be Loved: The Best of Papa Roach (<http://dbpedia.org/resource/...To_Be_Loved:_The_Best_of_Papa_Roach>) | ...To Be Loved: The Best of Papa Roach (en) |
| ...Ya Know? (<http://dbpedia.org/resource/...Ya_Know%3F>)                                                     | ...Ya Know? (en)                            |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves examples of hard rock albums by selecting resources of type dbo:Album with the genre dbp:genre dbr:Hard_rock. The query returns IRIs for the albums and optionally their English labels, which follows the guidelines. The answer provided is a valid example from the result set. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dbo: <http://dbpedia.org/ontology/>
PREFIX dbp: <http://dbpedia.org/property/>
SELECT DISTINCT ?person ?label WHERE {
  ?person ?occProp ?occupation .
  FILTER ( ?occProp IN ( dbp:occupation , dbo:occupation ) ) FILTER ( lcase( str( ?occupation ) ) = "model" || lcase( str( ?occupation ) ) = "fashion model" ) ?person ?deathProp ?cause .
  FILTER ( ?deathProp IN ( dbo:deathCause , dbp:causeOfDeath , dbp:deathCause , dbp:causeofdeath ) ) FILTER ( lcase( str( ?cause ) ) = "car accident" || lcase( str( ?cause ) ) = "car crash" || lcase( str( ?cause ) ) = "automobile accident" ) OPTIONAL {
    ?person rdfs:label ?label
  }
  FILTER ( lang( ?label ) = 'en' )
}
LIMIT 10

Got 2 rows and 2 columns:
| person                                | label                |
| ------------------------------------- | -------------------- |
| Heather Bratton (dbr:Heather_Bratton) | Heather Bratton (en) |
| Nike Ardilla (dbr:Nike_Ardilla)       | Nike Ardilla (en)    |

Heather Bratton and Nike Ardilla are models who died due to a car accident.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Name a model that died due to a car accident

[Assistant]
Let's break down the question:

1. We are looking for a "model" (profession: model) who "died due to a car accident".
2. We need to identify the entity type for "model" and the property for "cause of death" or "death by car accident".

Step 1: Search for the entity representing "model" in DBpedia.

[Tool]
Top 10 entity alternatives:
1. Model (dbr:Model)
2. model (dbo:Model)
3. model (dbo:model)
4. MODEL (dbr:MODEL)
5. model (dbp:model)
6. Curitiba, also known as ("Model City"), ;("Green City"), ;("The City of Eternal Fog"), ("Ecological Capital of Brazil"), ;("Capital ofAraucarias"); (dbr:Curitiba)
7. Walter Model (dbr:Walter_Model): Otto Moritz Walter Model (IPA: [ˈmoːdəl]; 24 January 1891 – 21 A... in the retreats of 1941–1942 determined his future career path.
8. Yan Xishan, also known as "Model Governor" (dbr:Yan_Xishan): Yan Xishan (IPA: [jɛ̌n ɕǐʂán]; 8 October 1883 – 22 July 1960, Ch...volution to the 1949 Communist victory in the Chinese Civil War.
9. Iman (model) (<http://dbpedia.org/resource/Iman_(model)>): Iman Abdulmajid (born Zara Mohamed Abdulmajid; Somali: Zara Maxa... of English rock musician David Bowie, whom she married in 1992.
10. Standard Model (dbr:Standard_Model)

[Assistant]
The relevant entity for the profession "model" is likely dbr:Model, which represents the occupation.

Next, we need to find a property related to "cause of death" or "death by car accident". Let's search for properties related to "cause of death".

[Tool]
Top 10 property alternatives:
1. cause of death (dbp:causeOfDeath)
2. death cause (dbo:deathCause): person
3. death cause (dbp:deathCause)
4. causeofdeath (dbp:causeofdeath)
5. Deaths (dbo:pendamicDeaths): Number of deaths caused by pandemic, xsd:integer, Outbreak
6. deaths (dbp:deaths)
7. death reason (dbp:deathReason)
8. place of death (dbp:placeOfDeath)
9. death (dbp:death)
10. death pllace (dbp:deathPllace)

[Assistant]
The most relevant properties are dbo:deathCause and dbp:causeOfDeath.

Now, we need to find the value for "car accident" or similar as a cause of death. Let's search for objects of dbo:deathCause with the query "car accident".

[Tool]
Top 10 entity alternatives:
1. Car accident (dbr:Car_accident)
2. Accident (dbr:Accident): An accident is an unplanned event that sometimes has inconvenien... of severe injury and that reduce injury incidence and severity.
3. Car bomb (dbr:Car_bomb)
4. Falling (accident) (<http://dbpedia.org/resource/Falling_(accident)>): Falling is the action of a person or animal losing stability and... exercise appears to decrease the rate of falls in older people.
5. Aviation accident (dbr:Aviation_accident)
6. Cardiomegaly (dbr:Cardiomegaly): Cardiomegaly (sometimes megacardia or megalocardia) is a medical...he heart is enlarged, the patient can suffer from heart failure.
7. Mining accident (dbr:Mining_accident)
8. Car crash (dbr:Car_crash)
9. Single-vehicle accident (dbr:Single-vehicle_accident)
10. Automobile accident (dbr:Automobile_accident)

No other items found

No literal items found

[Assistant]
The relevant objects for "car accident" as a cause of death are dbr:Car_accident, dbr:Car_crash, and dbr:Automobile_accident.

Now, let's construct a SPARQL query to find people who are models (occupation: dbr:Model) and whose cause of death is one of these car accident entities. We'll also try to get their labels if possible.

First, let's check which property is used for occupation. I'll search for properties related to "occupation" for a known model, e.g., dbr:Iman_(model).

[Tool] Constraint "dbr:Iman_(model)" for subject position is not a valid IRI. IRIs can be given in prefixed form, like "wd:Q937", as URIs, like "http://www.wikidata.org/entity/Q937", or in full form, like "<http://www.wikidata.org/entity/Q937>".

[Tool]
Top 10 property alternatives:
1. occupation (dbp:occupation)
2. birth date (dbo:birthDate): xsd:date, animal
3. birth date (dbp:birthDate)
4. birth place (dbo:birthPlace): where the person was born, animal, place
5. birth place (dbp:birthPlace)
6. spouse (dbp:spouse)
7. caption (dbp:caption)
8. years active (dbp:yearsActive)
9. birth name (dbo:birthName): rdf:langString, person
10. birth name (dbp:birthName)

No other items found

[Assistant]
The property for occupation is dbp:occupation.

Now, let's construct a query to find people whose dbp:occupation is dbr:Model and whose dbo:deathCause is dbr:Car_accident, dbr:Car_crash, or dbr:Automobile_accident. We'll also try to get their labels.

Here's the query:

```sparql
SELECT DISTINCT ?person WHERE {
  ?person dbp:occupation dbr:Model .
  ?person dbo:deathCause ?cause .
  VALUES ?cause { dbr:Car_accident dbr:Car_crash dbr:Automobile_accident }
}
```

Let's execute this query to see if it returns any results.

[Tool] Got no rows and 1 columns

[Assistant]
The query returned no results. This could be due to several reasons:
- The occupation might be recorded differently (e.g., as a string literal or with a different property).
- The cause of death might be recorded with a different property or value.
- The data may be incomplete.

Let's try broadening the occupation property to include dbo:occupation and also allow for string literals containing "model". Additionally, let's check if the cause of death is sometimes recorded as a string literal containing "car accident", "car crash", or "automobile accident".

I'll construct a broader query:

```sparql
SELECT DISTINCT ?person WHERE {
  ?person ?occProp ?occupation .
  FILTER (?occProp IN (dbp:occupation, dbo:occupation))
  FILTER (lcase(str(?occupation)) = "model" || lcase(str(?occupation)) = "fashion model")
  ?person ?deathProp ?cause .
  FILTER (?deathProp IN (dbo:deathCause, dbp:causeOfDeath, dbp:deathCause, dbp:causeofdeath))
  FILTER (
    lcase(str(?cause)) = "car accident" ||
    lcase(str(?cause)) = "car crash" ||
    lcase(str(?cause)) = "automobile accident"
  )
}
LIMIT 10
```

Let's execute this query.

[Tool]
Got 2 rows and 1 column:
| person                                |
| ------------------------------------- |
| Heather Bratton (dbr:Heather_Bratton) |
| Nike Ardilla (dbr:Nike_Ardilla)       |

[Tool]
Got 2 rows and 2 columns:
| person                                | label                |
| ------------------------------------- | -------------------- |
| Heather Bratton (dbr:Heather_Bratton) | Heather Bratton (en) |
| Nike Ardilla (dbr:Nike_Ardilla)       | Nike Ardilla (en)    |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves models whose cause of death is listed as a car accident (or similar terms) and returns their IRIs, with optional English labels. The answer matches the query result and is relevant to the user's question. The query uses appropriate properties for occupation and cause of death, and the use of FILTER and OPTIONAL is correct. No further refinement is needed.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dbo: <http://dbpedia.org/ontology/>
PREFIX dbr: <http://dbpedia.org/resource/>
PREFIX dbp: <http://dbpedia.org/property/>
SELECT DISTINCT ?genre ?genreLabel WHERE {
  dbr:Dwane_Husbands ?p ?genre .
  FILTER ( ?p IN ( dbo:genre , dbp:genre ) ) OPTIONAL {
    ?genre rdfs:label ?genreLabel FILTER ( lang( ?genreLabel ) = 'en' )
  }
}

Got 3 rows and 2 columns:
| genre                                                             | genreLabel            |
| ----------------------------------------------------------------- | --------------------- |
| Contemporary R&B (<http://dbpedia.org/resource/Contemporary_R&B>) | Contemporary R&B (en) |
| Pop music (dbr:Pop_music)                                         | Pop music (en)        |
| Reggae (dbr:Reggae)                                               | Reggae (en)           |

Dwane Husbands makes Contemporary R&B, Pop music, and Reggae.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What kind of music does dwane husbands make?

[Assistant]
Let's break down the question:

1. The entity in question is "dwane husbands". I need to find the correct entity in DBpedia.
2. The property of interest is the "kind of music" he makes, which likely refers to the genre or style of music.

First, I'll search for "dwane husbands" in DBpedia to find the correct entity.

[Tool]
Top 10 entity alternatives:
1. Dwane Husbands (dbr:Dwane_Husbands): Dwane Husbands (born 24 July 1985) is a Barbadian singer who is ...iously worked as a janitor prior to his break in music industry.
2. Dwane (dbr:Dwane)
3. Husbands (<http://dbpedia.org/resource/Category:Husbands>)
4. Husbands (dbr:Husbands)
5. husbands (dbp:husbands)
6. Dwane Casey (dbr:Dwane_Casey): Dwane Lyndon Casey (born April 17, 1957) is an American basketba...ptors, with whom he won the NBA Coach of the Year Award in 2018.
7. Clifford Husbands (dbr:Clifford_Husbands): Sir Clifford Straughn Husbands GCMG KStJ KA QC (5 August 1926 – ... wife, Lady Ruby Husbands (née Parris), who died on 7 July 2009.
8. House Husbands (dbr:House_Husbands): House Husbands is an Australian television comedy drama. The sho...Husbands won Most Popular Drama Series at the 2013 Logie Awards.
9. Blind Husbands (dbr:Blind_Husbands): Blind Husbands is a 1919 American drama film directed by Erich v...The film is an adaptation of the story The Pinnacle by Stroheim.
10. Dwane Lee (dbr:Dwane_Lee): Dwane Anthony Lee (born 26 November 1979 in Hillingdon, Greater London) is a retired Grenadan football midfielder.

[Assistant]
The correct entity for "dwane husbands" is dbr:Dwane_Husbands, who is a Barbadian singer.

Next, I need to find the property that describes the "kind of music" he makes. This is likely related to "genre" or "music genre". I'll search for properties related to "genre" for this entity.

[Tool]
Top 10 property alternatives:
1. genre (dbo:genre): The genre of the thing (music group, film, etc.), genre
2. genre (dbp:genre)
3. class (dbp:class)
4. label (dbp:label)
5. occupation (dbp:occupation)
6. record label (dbo:recordLabel): record label
7. associated musical artist (dbo:associatedMusicalArtist): musical artist
8. name (dbp:name)
9. has abstract (dbo:abstract): Reserved for DBpedia., rdf:langString
10. origin (dbp:origin)

No other items found

[Assistant]
The most relevant property for the "kind of music" Dwane Husbands makes is dbo:genre or dbp:genre.

Now, I'll construct a SPARQL query to retrieve the genre(s) associated with dbr:Dwane_Husbands using both dbo:genre and dbp:genre, and also try to get their labels for better readability.

[Tool]
Got 3 rows and 2 columns:
| genre                                                             | genreLabel            |
| ----------------------------------------------------------------- | --------------------- |
| Contemporary R&B (<http://dbpedia.org/resource/Contemporary_R&B>) | Contemporary R&B (en) |
| Pop music (dbr:Pop_music)                                         | Pop music (en)        |
| Reggae (dbr:Reggae)                                               | Reggae (en)           |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the genres associated with Dwane Husbands by querying both dbo:genre and dbp:genre properties. It also optionally retrieves the English labels for the genres, which are used in the answer. The answer provided matches the query result and is accurate. No further refinement is needed.


PREFIX dbr: <http://dbpedia.org/resource/>
PREFIX dbp: <http://dbpedia.org/property/>
SELECT ?writer WHERE {
  dbr:Goltzius_and_the_Pelican_Company dbp:writer ?writer
}

Got 1 row and 1 column:
| writer                                |
| ------------------------------------- |
| Peter Greenaway (dbr:Peter_Greenaway) |

The writer of the film 'Goltzius and the Pelican Company' is Peter Greenaway (dbr:Peter_Greenaway).

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who wrote the film goltzius and the pelican company

[Assistant]
Let's break down the question:

1. The user is asking for the writer of the film "Goltzius and the Pelican Company".
2. First, I need to identify the correct entity for the film in DBpedia.
3. Then, I need to find the property that links a film to its writer.

I'll start by searching for the entity "Goltzius and the Pelican Company" in DBpedia.

[Tool]
Top 10 entity alternatives:
1. Goltzius and the Pelican Company (dbr:Goltzius_and_the_Pelican_Company): Goltzius and the Pelican Company is a 2012 historical film by writer-director Peter Greenaway.
2. Company and the Crazy (dbr:Company_and_the_Crazy): Company and the Crazy (Italian: La compagnia dei matti) is a 192...lm features an early onscreen performance from Vittorio De Sica.
3. The Pelican and the Snipe (dbr:The_Pelican_and_the_Snipe)
4. Theodore and company (dbr:Theodore_and_company)
5. The Barbarians and Company (dbr:The_Barbarians_and_Company)
6. His Majesty the King's Guard 3rd Company, also known as The Band and Drill Company (<http://dbpedia.org/resource/His_Majesty_the_King's_Guard_3rd_Company>): The His Majesty the King's Guard 3. Company (Norwegian: Hans Maj...e world for its participation in international military tattoos.
7. OpenStage Theatre and Company (dbr:OpenStage_Theatre_and_Company): OpenStage Theatre & Company, Inc. is a theatre company in northern Colorado.
8. The Reynolds and Reynolds company (dbr:The_Reynolds_and_Reynolds_company)
9. The Procter and Gamble Company (dbr:The_Procter_and_Gamble_Company)
10. The Reynolds and Reynolds Company (dbr:The_Reynolds_and_Reynolds_Company)

[Assistant]
The correct entity for the film is dbr:Goltzius_and_the_Pelican_Company.

Next, I need to find the property that links a film to its writer. I'll search for properties related to "writer" or "written by" in DBpedia.

[Tool]
Top 10 property alternatives:
1. writer (dbp:writer)
2. writers (dbp:writers)
3. writern (dbp:writern)
4. Lit Writer (dbp:litWriter)
5. writing (dbp:writing)
6. written by (dbp:writtenBy)
7. writerT (dbp:writert)
8. writer7. (dbp:writer7.)
9. writer overall (dbp:writerOverall)
10. write (dbp:write)

[Tool]
Got 116 rows and 3 columns, showing the first 10 rows below:
| subject                                                                 | property                                                            | object                                                                   |
| ----------------------------------------------------------------------- | ------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Goltzius and the Pelican Company (dbr:Goltzius_and_the_Pelican_Company) | has abstract (dbo:abstract)                                         | «Гольциус и Пеликанья компания» ...на библейские и античные сюжеты. (ru) |
| Goltzius and the Pelican Company (dbr:Goltzius_and_the_Pelican_Company) | Wikipage page ID (dbo:wikiPageID)                                   | 28045665 (xsd:int)                                                       |
| Goltzius and the Pelican Company (dbr:Goltzius_and_the_Pelican_Company) | Wikipage revision ID (dbo:wikiPageRevisionID)                       | 1121985422 (xsd:int)                                                     |
| Goltzius and the Pelican Company (dbr:Goltzius_and_the_Pelican_Company) | page length (characters) of wiki page (dbo:wikiPageLength)          | 8277 (xsd:int)                                                           |
| Goltzius and the Pelican Company (dbr:Goltzius_and_the_Pelican_Company) | Link from a Wikipage to an external page (dbo:wikiPageExternalLink) | <http://cdpproductions.fr/en/projets/goltzius>                           |
| Goltzius and the Pelican Company (dbr:Goltzius_and_the_Pelican_Company) | name (dbp:name)                                                     | Goltzius and the Pelican Company (en)                                    |
| Goltzius and the Pelican Company (dbr:Goltzius_and_the_Pelican_Company) | date (dbp:date)                                                     | December 2019 (en)                                                       |
| Goltzius and the Pelican Company (dbr:Goltzius_and_the_Pelican_Company) | caption (dbp:caption)                                               | Theatrical poster (en)                                                   |
| Goltzius and the Pelican Company (dbr:Goltzius_and_the_Pelican_Company) | writer (dbp:writer)                                                 | Peter Greenaway (dbr:Peter_Greenaway)                                    |
| Goltzius and the Pelican Company (dbr:Goltzius_and_the_Pelican_Company) | producer (dbp:producer)                                             |  (en)                                                                    |
| ...                                                                     | ...                                                                 | ...                                                                      |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the writer of the film 'Goltzius and the Pelican Company' by querying the dbp:writer property for the appropriate DBpedia entity. The answer matches the expected result, and the query returns the IRI as required. No further refinement is necessary.


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dbo: <http://dbpedia.org/ontology/>
PREFIX dbr: <http://dbpedia.org/resource/>
PREFIX dbp: <http://dbpedia.org/property/>
SELECT ?book ?label ?dbptitle WHERE {
  ?book a dbo:Book ; dbp:genre dbr:Fiction .
  OPTIONAL {
    ?book rdfs:label ?label FILTER ( lang( ?label ) = 'en' )
  }
  OPTIONAL {
    ?book dbp:title ?dbptitle
  }
  FILTER ( BOUND( ?label ) || BOUND( ?dbptitle ) )
}
LIMIT 5

Got 5 rows and 3 columns:
| book                                                                                | label                                     | dbptitle |
| ----------------------------------------------------------------------------------------------------- | ----------------------------------------- | -------- |
| 'GAPÔ (<http://dbpedia.org/resource/'GAPÔ>)                                                           | 'GAPÔ (en)                                |          |
| 2 States: The Story of My Marriage (<http://dbpedia.org/resource/2_States:_The_Story_of_My_Marriage>) | 2 States: The Story of My Marriage (en)   |          |
| 69 Things to Do with a Dead Princess (dbr:69_Things_to_Do_with_a_Dead_Princess)                       | 69 Things to Do with a Dead Princess (en) |          |
| A Conspiracy of Friends (dbr:A_Conspiracy_of_Friends)                                                 | A Conspiracy of Friends (en)              |          |
| A Day in Summer (dbr:A_Day_in_Summer)                                                                 | A Day in Summer (en)                      |          |

Here are some fiction book titles from DBpedia:

1. 'GAPÔ (http://dbpedia.org/resource/'GAPÔ)
2. 2 States: The Story of My Marriage (http://dbpedia.org/resource/2_States:_The_Story_of_My_Marriage)
3. 69 Things to Do with a Dead Princess (http://dbpedia.org/resource/69_Things_to_Do_with_a_Dead_Princess)
4. A Conspiracy of Friends (http://dbpedia.org/resource/A_Conspiracy_of_Friends)
5. A Day in Summer (http://dbpedia.org/resource/A_Day_in_Summer)

The titles are provided via rdfs:label.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
dbpedia at https://qlever.cs.uni-freiburg.de/api/dbpedia

You can use the following SPARQL prefixes implicitly in all functions:
dbo: <http://dbpedia.org/ontology/
dbp: <http://dbpedia.org/property/
dbr: <http://dbpedia.org/resource/
dc: <http://purl.org/dc/terms/
foaf: <http://xmlns.com/foaf/0.1/
owl: <http://www.w3.org/2002/07/owl#
prov: <http://www.w3.org/ns/prov#
purl: <http://purl.org/linguistics/gold/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] whats the title of a  fiction book

[Assistant]
Let's break down the question:

1. The user is asking for the title of a fiction book.
2. I need to identify entities that are "books" and have a property indicating they are "fiction".
3. I need to find the property for "title" and ensure the book is classified as "fiction".

First, I'll search for the entity "fiction" to see how it is represented in DBpedia.

[Tool]
Top 10 entity alternatives:
1. Fiction (dbr:Fiction): Fiction is any creative work (chiefly, any narrative work) consi...ten specifically novels, though also novellas and short stories.
2. Fiction (<http://dbpedia.org/resource/Category:Fiction>)
3. Fictional fiction (dbr:Fictional_fiction)
4. FictionJunction (dbr:FictionJunction): FictionJunction is a singing group that solely performs songs wr...and are collaborations with Kajiura, they are separate projects.
5. Pulp Fiction (dbr:Pulp_Fiction)
6. Detective fiction (dbr:Detective_fiction): Detective fiction is a subgenre of crime fiction and mystery fic...n include C. Auguste Dupin, Sherlock Holmes, and Hercule Poirot.
7. Mystery fiction (dbr:Mystery_fiction)
8. Fiction writing (dbr:Fiction_writing)
9. Science fiction (dbr:Science_fiction): Science fiction (sometimes shortened to sci-fi or SF) is a genre...ion, time travel, parallel universes, and extraterrestrial life.
10. Crime fiction (dbr:Crime_fiction): Crime fiction, detective story, murder mystery, mystery novel, a...l fiction or science fiction, but the boundaries are indistinct.

[Assistant]
The main entity for "fiction" is dbr:Fiction, and there is also a category: <http://dbpedia.org/resource/Category:Fiction>. For books, we likely want to find works that are instances of dbo:Book and are related to fiction.

Next, I'll search for the entity "book" to confirm the class used for books in DBpedia.

[Tool]
Top 10 entity alternatives:
1. Book (dbr:Book): A book is a medium for recording information in the form of writ...ions or records, the codex replaces its predecessor, the scroll.
2. book (dbo:Book)
3. 📖 (<http://dbpedia.org/resource/📖>)
4. Book Book (dbr:Book_Book)
5. book (dbp:book)
6. Bookbinding (dbr:Bookbinding): Bookbinding is the process of physically assembling a book of co...d together along one edge with a thick needle and sturdy thread.
7. Utopia (book) (<http://dbpedia.org/resource/Utopia_(book)>): Utopia (Latin: Libellus vere aureus, nec minus salutaris quam fe...island society and its religious, social, and political customs.
8. Domesday Book (dbr:Domesday_Book): Domesday Book ( or US: , Middle English for "Doomsday Book"; Lat...winter [1085], was the king in Gloucester with his council ... .
9. Booksmart (dbr:Booksmart): Booksmart is a 2019 American coming-of-age buddy comedy film dir...Williams, Will Forte, Lisa Kudrow, and Jason Sudeikis also star.
10. Book illustration (dbr:Book_illustration): The illustration of manuscript books was well established in anc... rapidly included in early printed books, and later block books.

[Assistant]
The class for books is dbo:Book. Now, I need to find how to identify a book as "fiction". This could be via a genre property or a subject property.

I'll search for properties related to "genre" in DBpedia.

[Tool]
Top 10 property alternatives:
1. genre (dbo:genre): The genre of the thing (music group, film, etc.), genre
2. genre (dbp:genre)
3. genres (dbp:genres)
4. genre header (dbp:genreHeader)
5. literary genre (dbo:literaryGenre): A literary genre is a category of literary composition. Genres m...ique, tone, content, or even (as in the case of fiction) length., written work, genre
6. music subgenre (dbo:musicSubgenre): music genre
7. music title (dbp:musicTitle)
8. multigenre (dbp:multigenre)
9. song type (dbp:songType)
10. subgenres (dbp:subgenres)

[Assistant]
The most relevant property for genre is dbo:genre. There is also dbo:literaryGenre, which may be more specific for books.

Now, I'll check how dbo:genre is used for books by listing some triples where the subject is a dbo:Book and the property is dbo:genre.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                               | property          | object                                                                              |
| --------------------------------------------------------------------- | ----------------- | ----------------------------------------------------------------------------------- |
| Alan Garner (dbr:Alan_Garner)                                         | genre (dbo:genre) | Children's literature (<http://dbpedia.org/resource/Children's_literature>)         |
| Charles Perrault (dbr:Charles_Perrault)                               | genre (dbo:genre) | Fairy tale (dbr:Fairy_tale)                                                         |
| Beth Carvalho (dbr:Beth_Carvalho)                                     | genre (dbo:genre) | Samba (dbr:Samba)                                                                   |
| Angela Maria (dbr:Angela_Maria)                                       | genre (dbo:genre) | Música popular brasileira (<http://dbpedia.org/resource/Música_popular_brasileira>) |
| Aşık Mahzuni Şerif (<http://dbpedia.org/resource/Aşık_Mahzuni_Şerif>) | genre (dbo:genre) | dbr:Turkish_Folk_Music                                                              |
| Alexander Haggerty Krappe (dbr:Alexander_Haggerty_Krappe)             | genre (dbo:genre) | Folklore (dbr:Folklore)                                                             |
| Bruno Nicolai (dbr:Bruno_Nicolai)                                     | genre (dbo:genre) | Film score (dbr:Film_score)                                                         |
| Behemoth (band) (<http://dbpedia.org/resource/Behemoth_(band)>)       | genre (dbo:genre) | Black metal (dbr:Black_metal)                                                       |
| Ahmad Rida (dbr:Ahmad_Rida)                                           | genre (dbo:genre) | Linguistics (dbr:Linguistics)                                                       |
| Aneek Dhar (dbr:Aneek_Dhar)                                           | genre (dbo:genre) | India (dbr:India)                                                                   |
| ...                                                                   | ...               | ...                                                                                |

[Assistant]
The dbo:genre property is used for various types of works, not just books. To ensure we only get books, we need to filter for instances of dbo:Book.

Next, I'll check if "Fiction" (dbr:Fiction) is used as a genre for books. I'll search for objects of dbo:genre with the keyword "Fiction".

[Tool]
Top 10 entity alternatives:
1. Fiction (dbr:Fiction): Fiction is any creative work (chiefly, any narrative work) consi...ten specifically novels, though also novellas and short stories.
2. Pulp Fiction (dbr:Pulp_Fiction)
3. Detective fiction (dbr:Detective_fiction): Detective fiction is a subgenre of crime fiction and mystery fic...n include C. Auguste Dupin, Sherlock Holmes, and Hercule Poirot.
4. Mystery fiction (dbr:Mystery_fiction)
5. Fiction writing (dbr:Fiction_writing)
6. Science fiction (dbr:Science_fiction): Science fiction (sometimes shortened to sci-fi or SF) is a genre...ion, time travel, parallel universes, and extraterrestrial life.
7. Crime fiction (dbr:Crime_fiction): Crime fiction, detective story, murder mystery, mystery novel, a...l fiction or science fiction, but the boundaries are indistinct.
8. Gothic fiction (dbr:Gothic_fiction): Gothic fiction, sometimes called Gothic horror in the 20th centu...surable terror that expands the Romantic literature of the time.
9. Fan fiction (dbr:Fan_fiction): Fan fiction or fanfiction (also abbreviated to fan fic, fanfic, ...keep the creator's characters and settings and/or add their own.
10. Adventure fiction (dbr:Adventure_fiction): Adventure fiction is a genre of fiction that usually presents danger, or gives the reader a sense of excitement.

No other items found

No literal items found

[Assistant]
The object dbr:Fiction is indeed used as a genre. Therefore, to find a fiction book, I should look for an entity of type dbo:Book with dbo:genre dbr:Fiction.

Now, I need to find the property for "title". I'll search for properties related to "title".

[Tool]
Top 10 property alternatives:
1. títle (<http://dbpedia.org/property/títle>)
2. title. (dbp:title.)
3. title (dbo:title): rdf:langString
4. title (dbp:title)
5. main title (dbp:mainTitle)
6. titles (dbp:titles)
7. title image (dbp:titleImage)
8. a title (dbp:aTitle)
9. orig title (dbp:origTitle)
10. t title (dbp:tTitle)

[Assistant]
The most standard property for the title is dbo:title, but dbp:title is also common. I'll use dbo:title as the primary property and include dbp:title as an optional fallback.

Now, I'll write a SPARQL query to select a book (of type dbo:Book) with dbo:genre dbr:Fiction, and return its IRI and title. I'll use LIMIT 1 to get just one example, as the user only asked for a single title.

[Tool] Got no rows and 2 columns

[Assistant]
It appears that there are no books in DBpedia that are both explicitly typed as dbo:Book and have dbo:genre dbr:Fiction. This could be due to data modeling or coverage issues.

To broaden the search, I'll try using dbp:genre instead of dbo:genre, as sometimes infobox properties are more populated in DBpedia. I'll also keep both dbo:title and dbp:title as possible title properties.

[Tool]
Got 1 row and 2 columns:
| book                                        | title |
| ------------------------------------------- | ----- |
| 'GAPÔ (<http://dbpedia.org/resource/'GAPÔ>) |       |

[Assistant]
I found a book with dbp:genre dbr:Fiction: 'GAPÔ (http://dbpedia.org/resource/'GAPÔ), but it does not have a title property filled in. The IRI itself contains the title, which is "'GAPÔ".

To improve the query, I'll try to get more results (LIMIT 10) and see if any have a title property filled in.

[Tool]
Got 10 rows and 2 columns:
| book                                                                                | title |
| ----------------------------------------------------------------------------------------------------- | ----- |
| 'GAPÔ (<http://dbpedia.org/resource/'GAPÔ>)                                                           |       |
| 2 States: The Story of My Marriage (<http://dbpedia.org/resource/2_States:_The_Story_of_My_Marriage>) |       |
| 69 Things to Do with a Dead Princess (dbr:69_Things_to_Do_with_a_Dead_Princess)                       |       |
| A Conspiracy of Friends (dbr:A_Conspiracy_of_Friends)                                                 |       |
| A Day in Summer (dbr:A_Day_in_Summer)                                                                 |       |
| A Horse Walks into a Bar (dbr:A_Horse_Walks_into_a_Bar)                                               |       |
| A Passing Season (dbr:A_Passing_Season)                                                               |       |
| A Season in Sinji (dbr:A_Season_in_Sinji)                                                             |       |
| A Spark of Light (dbr:A_Spark_of_Light)                                                               |       |
| Aavarana (dbr:Aavarana)                                                                               |       |

[Assistant]
The query returned several books with dbp:genre dbr:Fiction, but none have the title property filled in. However, the IRIs themselves contain the book titles.

Given this, the best way to answer the question is to return the IRI of one of these books, which also serves as its title.

Here is the final SPARQL query that retrieves the IRI of a fiction book, and optionally its title if available.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query is mostly correct in its structure, as it looks for books with the genre 'Fiction' and retrieves their titles. However, the result returned does not include a title value (the title column is empty), which suggests that the OPTIONAL clauses for the title property did not yield a value for this particular book. To improve the answer, the query should filter for books that actually have a title value, for example by adding a FILTER(BOUND(?title)) clause. Additionally, the query could be expanded to return more than one result (e.g., LIMIT 5) to provide a better selection of fiction book titles.

[Assistant]
Thank you for the feedback. To address the issues:

1. I will ensure that only books with an actual title value are returned by adding FILTER(BOUND(?title)).
2. I will expand the result set to LIMIT 5 to provide a better selection of fiction book titles.

Here’s how I’ll proceed:
- The query will look for entities of type dbo:Book with dbp:genre dbr:Fiction.
- It will retrieve the title from either dbo:title or dbp:title.
- It will filter to only include results where the title is present.
- It will return up to 5 results.

Let me construct and execute this improved query.

[Tool] Got no rows and 2 columns

[Assistant]
It appears that even with the FILTER(BOUND(?title)) clause, there are no books with dbp:genre dbr:Fiction that have a title property (dbo:title or dbp:title) filled in. This suggests that the title information for these books may be missing or stored differently in DBpedia.

To improve the chances of finding fiction books with titles, I will:
- Try using dbo:genre as well as dbp:genre for the genre property.
- Use both dbo:title and dbp:title for the title, as before.
- Use UNION to combine results from both genre properties.
- Keep the FILTER(BOUND(?title)) clause.
- Keep LIMIT 5.

Let me construct and execute this broader query.

[Tool] Got no rows and 2 columns

[Assistant]
Even after broadening the query to include both dbo:genre and dbp:genre, there are still no fiction books with a filled title property in DBpedia. This suggests a data coverage or modeling issue in DBpedia for fiction books' titles.

As a last attempt, I'll try searching for books with any genre containing the word "fiction" (e.g., science fiction, detective fiction, etc.), as these may be more populated and still fit the user's request for a fiction book. I'll use a FILTER with regex on the genre's label, and ensure the book has a title.

[Tool] Got no rows and 3 columns

[Assistant]
Even when searching for books with any genre containing "fiction" in the label, there are still no results with a title property filled in. This confirms that DBpedia's data for fiction books with explicit title properties is either missing or not modeled as expected.

Given these repeated attempts and the lack of results, I am unable to provide a SPARQL query that returns fiction book titles from DBpedia as requested. If you have a different source or a more specific request, I can try again.

Here is the best attempt so far, which returns fiction books but without guaranteed titles:

```sparql
SELECT ?book WHERE {
  ?book a dbo:Book ; dbp:genre dbr:Fiction .
} LIMIT 5
```

Would you like to try a different approach or dataset?

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The system's explanation is not entirely accurate. The provided SPARQL query does return IRIs for several fiction books, so the claim that no fiction books are returned is incorrect. However, the query only returns the book IRIs and not their titles, which was specifically requested in the question. To improve the query, it should also retrieve the title of each book, for example by adding an OPTIONAL clause for rdfs:label or dbp:title. Additionally, the query should ensure that the returned results include the actual title property, as requested by the user.

[Assistant]
Thank you for the clarification. You are correct: while the previous queries did return IRIs for fiction books, they did not return their titles, which is what the user specifically requested. The issue is that the dbo:title and dbp:title properties are often missing, but many DBpedia entities have an rdfs:label, which can serve as the book's title.

To address this:
- I will retrieve the book IRI and its rdfs:label (as the title).
- I will also include dbp:title as an alternative, but will require that at least one of these is present using FILTER(BOUND(...)).
- I will use dbp:genre dbr:Fiction as before.
- I will return up to 5 results.

Here is the improved query plan:
- Select books of type dbo:Book with dbp:genre dbr:Fiction.
- Retrieve rdfs:label and dbp:title as possible titles.
- Only return results where at least one title is present.
- Limit to 5 results.

Let me construct and execute this improved query.

[Tool]
Got 5 rows and 3 columns:
| book                                                                                | label                                     | dbptitle |
| ----------------------------------------------------------------------------------------------------- | ----------------------------------------- | -------- |
| 'GAPÔ (<http://dbpedia.org/resource/'GAPÔ>)                                                           | 'GAPÔ (en)                                |          |
| 2 States: The Story of My Marriage (<http://dbpedia.org/resource/2_States:_The_Story_of_My_Marriage>) | 2 States: The Story of My Marriage (en)   |          |
| 69 Things to Do with a Dead Princess (dbr:69_Things_to_Do_with_a_Dead_Princess)                       | 69 Things to Do with a Dead Princess (en) |          |
| A Conspiracy of Friends (dbr:A_Conspiracy_of_Friends)                                                 | A Conspiracy of Friends (en)              |          |
| A Day in Summer (dbr:A_Day_in_Summer)                                                                 | A Day in Summer (en)                      |          |

[Tool] Stopped generation process