PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?employees WHERE {
  wd:Q1027807 wdt:P1128 ?employees .
}

The Port of Rotterdam employs 385,000 people.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] How many perople do the Port of Rotterdam employ?

[Assistant]
Okay, I need to find the number of employees of the Port of Rotterdam.
First, I need to find the entity for the Port of Rotterdam.

[Tool]
Top 10 entity alternatives:
1. Port of Rotterdam (wd:Q1027807): largest port in Europe, located in the city of Rotterdam, Netherlands
2. Port of Rotterdam Authority, also known as Directie bedrijfsvoering Havenbedrijf   etc. (wd:Q2187039): manager of Rotterdam's port and industrial area in the Netherlands
3. The Port of Rotterdam (wd:Q59543911): painting by Eugène Boudin
4. Portrait of Erasmus of Rotterdam (wd:Q107122548)
5. Portrait of Erasmus of Rotterdam (wd:Q110572054): painting by Hans Holbein the Younger and workshop (David Owsley Museum)
6. Portrait of Erasmus of Rotterdam (wd:Q116966868): painting by Workshop Lucas Cranach the Elder (Landesmuseum für Kunst und Kulturgeschichte Oldenburg)
7. Portrait of Erasmus of Rotterdam (wd:Q116968152): painting by Copy after Lucas Cranach the Elder or Workshop Lucas Cranach the Elder (Sammlung Würth)
8. Portrait of Erasmus of Rotterdam (wd:Q20809158): painting by Hans Holbein the Younger
9. Portrait of Erasmus of Rotterdam (wd:Q110571788): painting by Hans Holbein the Younger and workshop
10. Portrait of Erasmus of Rotterdam writing (wd:Q105684225): painting by Hans Holbein

[Assistant] The Port of Rotterdam seems to be wd:Q1027807. Now I need to find the property for the number of employees.

[Tool]
Top 10 property alternatives:
1. employees, also known as workers, staff, personnel, number of employees, employee count (wd:P1128 as wdt/p): total number of employees of a company at a given "point in time...not deprecated rank). Add data for recent years, don't overwrite
2. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as wdt/p): person, profession, organization or entity that operates the equipment, facility, or service, used by
3. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt/p): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
4. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
5. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
6. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
7. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as wdt/p): area occupied by an object
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
9. has facility, also known as has amenity, has feature, features, amenity, facility (wd:P912 as wdt/p): the subject item has this type of facility, e.g. toilet, car park, has part(s) of the class
10. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)

No other items found

[Assistant] The property for the number of employees is wd:P1128. Now I can construct the query.

[Tool]
Got 1 row and 1 column:
| ?employees |
| ---------- |
| 385000     |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?film WHERE {
  ?film wdt:P31 wd:Q11424 ; wdt:P577 ?date ; wdt:P136 wd:Q842256 .
  FILTER ( YEAR( ?date ) = 1978 ) FILTER ( ?film != wd:Q267721 )
}

Got 84 rows and 1 column, showing the first 5 and last 5 rows below:
| ?film                                      |
| ------------------------------------------ |
| An Ordinary Miracle (wd:Q1082153)          |
| Mic Maputo Man (wd:Q120043041)             |
| The Buddy Holly Story (wd:Q1211819)        |
| Junior High School (wd:Q12125297)          |
| Legend of the Maiden Tower (wd:Q12844664)  |
| ...                                        |
| New York, New York (wd:Q743367)            |
| Slow Dancing in the Big City (wd:Q7541987) |
| Stony Island (wd:Q7619570)                 |
| The Last Waltz (wd:Q847599)                |
| The Woman who Sings (wd:Q925962)           |

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] How many other musical films were launched the same year as Grease?

[Assistant] Okay, I need to find musical films launched the same year as Grease and then count them. First, I need to find the launch year of Grease.

[Tool]
Top 10 entity alternatives:
1. fat, also known as grease, fats and oils, fat or oil, dietary fats, dietary fat (wd:Q127980): esters of three fatty acid chains and the alcohol glycerol, one of the three main macronutrients, also known as triglycerides
2. Grease (wd:Q267721): 1978 film by Randal Kleiser
3. grease, also known as lubricating grease, grease lubricant (wd:Q629823): semi-solid, oily lubricant
4. Grease (wd:Q611626): 1972 musical
5. Grease (wd:Q728791): original song written and composed by Barry Gibb; from the 1978 film "Grease", performed by Frankie Valli
6. Grease (wd:Q3776108): 2010 video game
7. Grease (wd:Q104861673): American media franchise
8. Grease (wd:Q114518793): episode of Cheers (S9 E6)
9. Grease (wd:Q116013684): sardana by Martí de Joan
10. Grease (wd:Q126836847): vocal track by Mina; 1986 studio recording; cover version

[Assistant] Okay, "Grease (wd:Q267721)" is the 1978 film. Now I need to find the property for the publication date or release date.

[Tool]
Top 10 property alternatives:
1. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as wdt/p): date or point in time when a work was first published or released, point in time
2. soundtrack release, also known as soundtrack single, soundtrack extended play, soundtrack album, has soundtrack album, OST (wd:P406 as wdt/p): music release that incorporates music directly recorded from the soundtrack of an audiovisual work
3. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as wdt/p): method (or type) of distribution for the subject
4. box office, also known as earnings (wd:P2142 as wdt/p): box office takings accumulated by a film, total revenue
5. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
6. title, also known as name, titled, page name, original title, known as (wd:P1476 as wdt/p): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
7. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt/p): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
8. set in period, also known as time period set in, time period of setting, time period, takes place in time, takes place during (wd:P2408 as wdt/p): historical, contemporary, or future period, year, century or day...rk or genre is set in or event featured in the story of the work
9. producer, also known as music producer, record producer, produced by, film producer, creative producer (wd:P162 as wdt/p): person(s) who produced the film, musical work, theatrical produc...etc.) [for production company, use P272, video games - use P178]
10. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as wdt/p): length of time of an event or process

No other items found

[Assistant] "publication date (wd:P577)" seems like the right property. Now I can construct a query to find all musical films released in 1978.

[Tool] Got no rows and 1 columns

[Assistant] That query returned no results. I need to check the data type of the publication date.

[Tool]
Got 2 rows and 3 columns:
| subject             | property                    | object               |
| ------------------- | --------------------------- | -------------------- |
| Grease (wd:Q267721) | publication date (wdt:P577) | 1978-06-13T00:00:00Z |
| Grease (wd:Q267721) | publication date (wdt:P577) | 1978-09-28T00:00:00Z |

[Assistant] The publication date is a full date, not just the year. I need to adjust the query to match the full date format. I will use the earliest date, 1978-06-13.

[Tool] Got no rows and 1 columns

[Assistant] Still no results. I need to find out how to query for all films released in 1978, regardless of the exact date. I can use a regex filter.

[Tool] Got no rows and 1 columns

[Assistant] I am still not getting any results. I need to verify that Grease is actually an instance of a musical film.

[Tool]
Got 1 row and 3 columns:
| subject             | property              | object           |
| ------------------- | --------------------- | ---------------- |
| Grease (wd:Q267721) | instance of (wdt:P31) | film (wd:Q11424) |

[Assistant] Grease is an instance of film, not musical film. I need to find the musical film instance.

[Tool]
Top 10 entity alternatives:
1. musical film, also known as film musical, musical movie (wd:Q842256): film genre
2. musical film (wd:L428534-S1)
3. Musical Films (wd:Q121091316): production company
4. Theorising the film musical (wd:Q57622181): doctoral thesis
5. College Course Film: THE HOLLYWOOD MUSICAL (wd:Q108309950): journal article from 'Journal of the University Film and Video Association' published in 1983
6. The Beatles. Una filmografía musical (wd:Q125618465): 1995 edition of written work by Magí Crusells
7. The Beatles. Una filmografía musical (wd:Q125618437): written work by Magí Crusells
8. High School Musical: El Desafio (Mexican film), also known as High School Musical: el desafío (wd:Q2636649): 2008 film directed by Eduardo Ripari
9. Rock This Town Musical Film Fest Pau (wd:Q125736952)
10. film, also known as cinematic work, moving picture, movie, motion pictures, motion picture (wd:Q11424): sequence of images that give the impression of movement, stored on film stock

[Assistant] Okay, the instance of musical film is "musical film (wd:Q842256)". Now I can construct the correct query.

[Tool] Got no rows and 1 columns

[Assistant] Still no results. I will try to find the release date of Grease using a different property.

[Tool]
Top 10 property alternatives:
1. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as wdt/p): date or point in time when a work was first published or released, point in time
2. soundtrack release, also known as soundtrack single, soundtrack extended play, soundtrack album, has soundtrack album, OST (wd:P406 as wdt/p): music release that incorporates music directly recorded from the soundtrack of an audiovisual work
3. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as wdt/p): method (or type) of distribution for the subject
4. distributed by, also known as distributor (wd:P750 as wdt/p): distributor of a creative work; distributor for a record label; news agency; film distributor
5. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
6. title, also known as name, titled, page name, original title, known as (wd:P1476 as wdt/p): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
7. collection, also known as editorial collection, series, repository, museum collection, held by (wd:P195 as wdt/p): art, museum, archival, or bibliographic collection of which the subject is part, part of
8. movement, also known as subculture, trend, scientific movement, school, philosophical movement (wd:P135 as wdt/p): literary, artistic, scientific or philosophical movement or scen...ed with this person or work. For political ideologies use P1142.
9. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as wdt/p): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
10. production company, also known as broadcasting company, theatrical troupe, theatre company, theater company, studio (wd:P272 as wdt/p): company that produced this film, audio or performing arts work

No other items found

[Assistant] It seems P577 is the correct property. I will try a different approach. I will first find all musical films, then filter by year.

[Tool]
Got 1 row and 2 columns:
| ?film                                     | ?date                |
| ----------------------------------------- | -------------------- |
| The Christmas Chronicles 2 (wd:Q99395721) | 2020-01-01T00:00:00Z |

[Assistant] Okay, I got one result. Now I can filter by year.

[Tool] Got no rows and 1 columns

[Assistant] Still no results. I will try to find all films released in 1978 and then check if they are musical films.

[Tool]
Got more than 131,073 rows and 1 column, showing the first 5 and last 5 rows below:
| ?film                                                                               |
| ----------------------------------------------------------------------------------- |
| Umělecké památky Čech K–O (wd:Q100010545)                                           |
| The County Court (Rent Order) Rules (Northern Ireland) 1978 (wd:Q100067408)         |
| The Industrial Relations (1976 N...5) Order (Northern Ireland) 1978 (wd:Q100067424) |
| The Lough Erne Commercial Fishin...e - Laws (Northern Ireland) 1978 (wd:Q100067438) |
| The Rainbow Trout Waters Byelaws (Northern Ireland) 1978 (wd:Q100067450)            |
| ...                                                                                |
| The dimensional variability of d...roduced in a alginate investment (wd:Q40855940)  |
| The dimensional variability of d...roduced in a alginate investment (wd:Q40855940)  |
| Recurrent oral ulceration. A dou...one valerate aerosol and placebo (wd:Q40855947)  |
| Recurrent oral ulceration. A dou...one valerate aerosol and placebo (wd:Q40855947)  |
| Stamping out dental themes (wd:Q40855956)                                           |

[Assistant] Okay, now I have all films released in 1978. I can filter these to only include musical films.

[Tool] Got no rows and 1 columns

[Assistant] Still no results. I will try a different approach. I will get all films, then filter by year and instance of musical film.

[Tool]
Got 4,078 rows and 1 column, showing the first 5 and last 5 rows below:
| ?film                                                                        |
| ---------------------------------------------------------------------------- |
| Buffalo Bill and the Indians, or Sitting Bull's History Lesson (wd:Q1001943) |
| wd:Q100221213                                                                |
| Chaman Khan (wd:Q100256372)                                                  |
| wd:Q100266719                                                                |
| wd:Q100329482                                                                |
| ...                                                                          |
| The Wing or the Thigh (wd:Q994421)                                           |
| The Wing or the Thigh (wd:Q994421)                                           |
| Joshua and the Battle of Jericho (wd:Q99646620)                              |
| Shout at the Devil (wd:Q996995)                                              |
| Daniel in the Lion's Den (wd:Q99929843)                                      |

[Assistant] Now I have all films released in 1978. I can filter these to only include musical films.

[Tool]
Got 86 rows and 1 column, showing the first 5 and last 5 rows below:
| ?film                                      |
| ------------------------------------------ |
| An Ordinary Miracle (wd:Q1082153)          |
| Mic Maputo Man (wd:Q120043041)             |
| The Buddy Holly Story (wd:Q1211819)        |
| Junior High School (wd:Q12125297)          |
| Legend of the Maiden Tower (wd:Q12844664)  |
| ...                                        |
| New York, New York (wd:Q743367)            |
| Slow Dancing in the Big City (wd:Q7541987) |
| Stony Island (wd:Q7619570)                 |
| The Last Waltz (wd:Q847599)                |
| The Woman who Sings (wd:Q925962)           |

[Assistant] Okay, I have a list of 86 musical films released in 1978. I need to exclude Grease from this list and then count the remaining films.

[Tool]
Got 84 rows and 1 column, showing the first 5 and last 5 rows below:
| ?film                                      |
| ------------------------------------------ |
| An Ordinary Miracle (wd:Q1082153)          |
| Mic Maputo Man (wd:Q120043041)             |
| The Buddy Holly Story (wd:Q1211819)        |
| Junior High School (wd:Q12125297)          |
| Legend of the Maiden Tower (wd:Q12844664)  |
| ...                                        |
| New York, New York (wd:Q743367)            |
| Slow Dancing in the Big City (wd:Q7541987) |
| Stony Island (wd:Q7619570)                 |
| The Last Waltz (wd:Q847599)                |
| The Woman who Sings (wd:Q925962)           |

[Assistant] I have 84 films.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q459173 wdt:P2044 ?challengerDeepDepth .
  wd:Q513 wdt:P2044 ?mountEverestHeight .
  FILTER ( abs( ?challengerDeepDepth ) > ?mountEverestHeight )
}

Yes, the Mariana Trench is deeper than Mount Everest is high.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] Is the Mariana Trench deeper than Mount Everest is high (above sea level)?

[Assistant] I need to find the depth of the Mariana Trench and the height of Mount Everest above sea level, and then compare them. I will start by searching for the entities "Mariana Trench" and "Mount Everest".

[Tool]
Top 10 entity alternatives:
1. Mariana Trench (wd:Q510): deepest oceanic trench on Earth
2. Marianas Trench (wd:Q3291259): Canadian pop rock band
3. "Mariana Trench" T-waves (wd:Q87292168): scientific article published on 01 April 2015
4. Marianas Trench Marine National Monument (wd:Q6612760): US national monument in the Mariana Archipelago
5. Document Recovered From The Marianas Trench (wd:Q60032271): a tale from the SCP web-based collaborative writing project
6. Obligately barophilic bacterium from the Mariana trench (wd:Q35470633): scientific article
7. Self-powered soft robot in the Mariana Trench (wd:Q118298491)
8. So, How Deep Is the Mariana Trench? (wd:Q63230174)
9. oceanic trench, also known as deep sea trench, trench, submarine trench (wd:Q119253): depressions of the sea floor
10. Silybum marianum, also known as milkthistle, variegated thistle, St. Mary's thistle, Scotch thistle, Saint Mary's thistle (wd:Q193798): species of plant of genus Silybum in family Asteraceae

[Tool]
Top 10 entity alternatives:
1. Mount Everest, also known as Chomolungma, Chomolangma, Zhumulangma, World highest peak, Sagarmāthā (wd:Q513): Earth's highest mountain above sea level, located in the Mahalangur Himal sub-range of the Himalayas
2. The Climbers, also known as Chomolungma, Mount Everest, Qomolangma (wd:Q61882061): 2019 film directed by Daniel Lee
3. Mount Everest (wd:Q19977041): band
4. Mount Everest, also known as IMO 9470985 (wd:Q84260471): ship built in 2010
5. Mount Everest, also known as Mount Everest, Australia (wd:Q21939846): mountain in New South Wales, Australia
6. Mount Everest, also known as Mount Everest, South Africa (wd:Q31505139): mountain in the Free State Province, South Africa
7. Mount Everest (wd:Q119187184): painting by G. Hemwell, Hampshire Cultural Trust Headquarters, Winchester (Hampshire County Council’s Fine Art Collection)
8. Mount Everest (wd:Q59014625): article published May 1955
9. Mount Everest (wd:Q60102972): article published March 1921
10. Mount Everest (wd:Q60106019): article published November 1921

[Assistant] The entities I'm looking for are "Mariana Trench (wd:Q510)" and "Mount Everest (wd:Q513)". Now I need to find the properties for depth and height. I'll use `search_property_of_entity` to find properties related to depth for Mariana Trench and height for Mount Everest.

[Tool]
Top 10 property alternatives:
1. lowest point, also known as extreme point deepest, extreme point lowest, deepest point (wd:P1589 as wdt/p): point with lowest elevation in a region or path
2. bathymetry image, also known as file bathymetry, bathymetric map, bathymetric chart (wd:P207 as wdt/p): image showing bathymetric chart, bathymetric map
3. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as wdt/p): height of the item (geographical object) as measured relative to sea level
4. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as wdt/p): body of water on or next to which a place is located, location
5. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
6. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
7. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
8. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as p/wdt/wdtn): identifier from an international authority file of names, subjects, and organizations

No other items found

[Assistant] The property for the depth of the Mariana Trench is "lowest point (wd:P1589)".

[Tool]
Top 10 property alternatives:
1. height, also known as heighth, size, depth over terrain (wd:P2048 as p): vertical length of an entity, length
2. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as wdt/p): height of the item (geographical object) as measured relative to sea level
3. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
4. size comparison diagram (wd:P8512 as wdt/p): property for the diagram file that compares the item size with the size of another known object
5. made from material, also known as material used, manufactured out of, manufactured from, made of material, made of (wd:P186 as wdt/p): material the subject or the object is made of or derived from (do not confuse with P10672 which is used for processes), uses
6. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
7. mountain range, also known as system of mountains, hill range, range, parent range, mountain system (wd:P4552 as wdt/p): range or subrange to which the geographical item belongs, geomorphological unit
8. topographic prominence, also known as prominence (wd:P2660 as wdt/p): height of a mountain or hill relative to the lowest contour line encircling it (on Earth, maximum 8,848 m), height
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as wdt/p): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object

No other items found

[Assistant] The property for the height of Mount Everest is "elevation above sea level (wd:P2044)". Now I can construct the SPARQL query.

[Tool]
Got 1 row and 2 columns:
| ?marianaTrenchDepth          | ?mountEverestHeight |
| ---------------------------- | ------------------- |
| Challenger Deep (wd:Q459173) | 8848.86             |

[Assistant] The Mariana Trench's lowest point is the Challenger Deep (wd:Q459173), not a numerical value. I need to find the depth of the Challenger Deep.

[Tool]
Top 10 property alternatives:
1. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as wdt/p): height of the item (geographical object) as measured relative to sea level
2. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as wdt/p): body of water on or next to which a place is located, location
3. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
4. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as wdt/p): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
5. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. country, also known as sovereign state, state, land, host country (wd:P17 as p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
9. Microsoft Academic ID, also known as MS Academic ID, Microsoft ID, Microsoft Academic Work ID, Microsoft Academic topic ID, Microsoft Academic Source ID (wd:P6366 as wdtn/p/wdt): identifier for an object or topic in the Microsoft Academic Graph (until 31 December 2021)
10. locator map image, also known as locator map, map image, map (wd:P242 as wdt/p): geographic map image which highlights the location of the subject within some larger entity, image

No other items found

[Assistant] The property for the depth of Challenger Deep is "elevation above sea level (wd:P2044)". Since it's below sea level, the value will be negative.

[Tool]
Got 1 row and 2 columns:
| ?challengerDeepDepth | ?mountEverestHeight |
| -------------------- | ------------------- |
| -10984               | 8848.86             |

[Assistant] Now I have the depth of the Challenger Deep (-10984 meters) and the height of Mount Everest (8848.86 meters). Since -10984 < -8848.86, the Mariana Trench is deeper than Mount Everest is high. I will construct an ASK query to verify this.

[Tool] True

[Assistant] The filter condition is incorrect. I need to compare the absolute values.

[Tool] True

[Tool] Stopped generation process


Suffragettes were members of the Woman's Social and Political Union who advocated for women's right to vote.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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 did the suffragettes stand for?

[Assistant] I need to find out what the suffragettes advocated for. I will start by searching for the entity "suffragettes" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. suffragette, also known as suffragettes (wd:Q322170): member of the Woman's Social and Political Union who advocated for women's right to vote
2. suffragettes (wd:L328761-F2)
3. Coontown Suffragettes (wd:Q20004604): 1914 silent short film
4. Song Suffragettes (wd:Q28401911): All Female Songwriter Round
5. The Suffragettes (wd:Q20477383): painting by Victor Pasmore
6. The Clam-Shell Suffragettes (wd:Q20802220): 1915 short film
7. The medical suffragettes (wd:Q50179887): scientific article
8. A Cure for Suffragettes (wd:Q24238887): 1913 film by Edward Dillon
9. Kate Sheppard National Memorial, also known as Tribute to the Suffragettes (wd:Q23073296): memorial to the women's suffrage campaign, located in Christchurch, New Zealand
10. Historiography of the Suffragettes (wd:Q64876675)

[Assistant] The primary entity is "suffragette, also known as suffragettes (wd:Q322170): member of the Woman's Social and Political Union who advocated for women's right to vote". The description already gives the main goal of the suffragettes. I will now formulate a SPARQL query to retrieve the "instance of" and "occupation" properties of the suffragettes to confirm this.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] The previous query failed because the `SERVICE wikibase:label` is not supported. I will try to get the labels using `rdfs:label`.

[Tool] Got no rows and 2 columns

[Assistant] That query didn't work either. I will try to find the properties of the suffragettes using the `list` function.

[Tool]
Got 400 rows and 3 columns, showing the first 10 rows below:
| subject                  | property                                       | object                                                                                |
| ------------------------ | ---------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| suffragette (wd:Q322170) | instance of (wdt:P31)                          | ideology (wd:Q7257)                                                                                |
| suffragette (wd:Q322170) | Commons category (wdt:P373)                    | Women's suffrage activists                                                                                |
| suffragette (wd:Q322170) | image (wdt:P18)                                | <http://commons.wikimedia.org/wiki/Special:FilePath/Suffragettes%20taking%20part%20in%20a%20pageant%20by%20the%20National%20Union%20of%20Women%E2%80%99s%20Suffrage%20Societies%2C%20June%201908.jpg> |
| suffragette (wd:Q322170) | subclass of (wdt:P279)                         | woman (wd:Q467)                                                                                |
| suffragette (wd:Q322170) | on focus list of Wikimedia project (wdt:P5008) | Art+Feminism (wd:Q24909800)                                                                                |
| suffragette (wd:Q322170) | field of work (wdt:P101)                       | vandalism (wd:Q6160)                                                                                |
| suffragette (wd:Q322170) | different from (wdt:P1889)                     | suffragist (wd:Q27532437)                                                                                |
| suffragette (wd:Q322170) | topic's main category (wdt:P910)               | wd:Q8824062                                                                                |
| suffragette (wd:Q322170) | member of (wdt:P463)                           | Women's Social and Political Union (wd:Q1967499)                                                                                |
| suffragette (wd:Q322170) | named after (wdt:P138)                         | suffragist (wd:Q27532437)                                                                                |
| ...                      | ...                                            | ...                                                                                |

[Assistant] The `list` function shows that suffragettes are an instance of ideology (wd:Q7257). This is not correct. Also, the field of work is vandalism (wd:Q6160), which is also not correct. The description from the `search_entity` function was more accurate. I will use that to formulate my answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?height WHERE {
  wd:Q130736 wdt:P2044 ?height .
}

Got 1 row and 1 column:
| ?height |
| ------- |
| 8126    |

8126 meters

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] How high is the mountain on which Günther Messner died?

[Assistant]
Okay, I need to find the mountain on which Günther Messner died and then find its height.

First, I need to find the entity for Günther Messner.

[Tool]
Top 10 entity alternatives:
1. Günther Messner (wd:Q195351): Italian mountain climber (1946-1970), mountaineer, explorer
2. Günther Messner Biwak (wd:Q65236135)
3. Alta Via Günther Messner (wd:Q3955425)
4. Albert Günther, also known as Albert Charles Lewis Gotthilf Günther, Günther, Albert Karl Ludwig Gotthilf Günther, Albert C. L. G. Gunther (wd:Q57514): Anglo-German zoologist (1830–1914), zoological collector, ichthyologist, herpetologist, biologist, zoologist, curator
5. Günther, also known as Gunther & The Sunshine Girls, Mats Söderlund (wd:Q465670): Swedish singer, singer, model
6. Gunther, also known as Gyntiarios, Guntiarius, Gundichar, Guntiar, Gunthahar (wd:Q339094): semi-legendary king of Burgundy of the early 5th century, politician
7. Gunther, also known as Big Van Walter, Walter Hahn, Walter (wd:Q11330762): Austrian professional wrestler, professional wrestler
8. Gunther (wd:Q897146): Archbishop of Cologne in Germany, Catholic priest
9. Matthäus Günther, also known as Günther, m. gunther, Matthüs Günther, Matthaus Gunther, Matthaus Gundter (wd:Q463504): German artist (1705-1788), university teacher, painter
10. Frauenarzt, also known as Vicente de Teba, Gynikologe, Räuber Rob, MC Digital F, Vicente de Teba Költerhoff (wd:Q487008): German rapper from Berlin, recording artist, rapper, singer

[Assistant] The first result, Günther Messner (wd:Q195351), seems to be the correct one. Now I need to find the mountain he died on. I'll search for properties of Günther Messner related to death or dying.

[Tool]
Top 10 property alternatives:
1. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/p): dissolved, abolished or demolished date, date on which the subject died, end time
2. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as wdt/p): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
3. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as wdt/p): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
4. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as wdt/p): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. sibling, also known as is sister of, is the brother of, is the sibling of, is the sister of, sib (wd:P3373 as wdt/p): the subject and the object have at least one common parent (brot...law, etc.) and step-siblings (step-brothers, step-sisters, etc.), relative
7. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
8. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
9. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
10. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with

No other items found

[Assistant] I see "place of death" (wdt:P20) and "date of death" (wdt:P570). Let's use "place of death" to find the mountain.

[Tool]
Got 1 row and 3 columns:
| subject                      | property                 | object                    |
| ---------------------------- | ------------------------ | ------------------------- |
| Günther Messner (wd:Q195351) | place of death (wdt:P20) | Nanga Parbat (wd:Q130736) |

[Assistant] Okay, Günther Messner died on Nanga Parbat (wd:Q130736). Now I need to find the height of Nanga Parbat.

[Tool]
Top 10 property alternatives:
1. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as wdt/p): height of the item (geographical object) as measured relative to sea level
2. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
3. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
4. mountain range, also known as system of mountains, hill range, range, parent range, mountain system (wd:P4552 as wdt/p): range or subrange to which the geographical item belongs, geomorphological unit
5. topographic prominence, also known as prominence (wd:P2660 as wdt/p): height of a mountain or hill relative to the lowest contour line encircling it (on Earth, maximum 8,848 m), height
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. aerial view, also known as overhead view, sky view, orthophotograph, orthophoto, aerial image (wd:P8592 as wdt/p): image of the subject taken from the air, video, image
9. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
10. continent (wd:P30 as wdt/p): continent of which the subject is a part, located in/on physical feature

No other items found

[Assistant] "elevation above sea level" (wdt:P2044) seems to be the property I need.

[Tool]
Got 1 row and 3 columns:
| subject                   | property                              | object |
| ------------------------- | ------------------------------------- | ------ |
| Nanga Parbat (wd:Q130736) | elevation above sea level (wdt:P2044) | 8126   |

[Assistant] The height of Nanga Parbat is 8126 meters.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q66432 wdt:P1344 wd:Q33881 .
}

No, Udo Bölts did not participate in the Tour de France.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] Did Udo Bölts participate in the Tour de France?

[Assistant]
Okay, I need to find out if Udo Bölts participated in the Tour de France.

First, I'll search for the entity "Udo Bölts" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Udo Bölts (wd:Q66432): German racing cyclist, sport cyclist
2. Wadjet, also known as Buto, Udṓ, Weʾd’ōjet (wd:Q146007): Ancient Egyptian snake-headed goddess, symbolizing Lower Egypt
3. Tampa Bay Lightning, also known as Bolts, Lightning, The Tampa Bay Lightning (wd:Q201864): ice hockey team of the National Hockey League
4. Udo (wd:Q496912): island
5. Udo, also known as Udo (Obotrite prince) (wd:Q13424614): Obotrite prince
6. Ultra Density Optical, also known as UDO (wd:Q1932063): optical disc format
7. Udo, also known as Udo (first name), Udo (given name) (wd:Q1465588): male given name
8. Lothair Udo I, Count of Stade, also known as Lothar-Udo I of Stade, Udo (wd:Q20498306): Count of Stade (950–994)
9. Udo Mechels, also known as Udo (wd:Q359510): Belgian Flemish singer-songwriter, singer
10. U Island, also known as U-do, Udo (wd:Q12608825): island in Incheon, Korea

[Assistant] The first result, "Udo Bölts (wd:Q66432)", seems to be the correct person. Now I need to find the property that indicates participation in the Tour de France. I'll search for properties related to "Tour de France" for the entity "Udo Bölts".

[Tool]
Top 10 property alternatives:
1. Cycling Archives cyclist ID, also known as Cycling Archives ID (cyclist), CyclingArchives ID (cyclist), CyclingArchives cyclist ID (wd:P1409 as wdt/p): identifier in the Cycling Archives
2. ProCyclingStats cyclist ID, also known as PCS cyclist ID, PCS cyclist identifier, Pro Cycling Stats cyclist ID, ProCyclingStats cyclist identifier (wd:P1663 as wdt/p): identifier on the website ProCyclingStats (www.procyclingstats.com)
3. Mémoire du cyclisme cyclist ID (wd:P4516 as wdt/p): identifier for a person on the Mémoire du cyclisme website
4. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
5. CycleBase cyclist ID, also known as CycleBase ID, CycleBase identifier (wd:P4508 as wdt/p): identifier for a cyclist on the CycleBase website
6. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as wdt/p): sports teams or clubs that the subject represents or represented, member of
7. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
8. FirstCycling rider ID, also known as firstcycling.com rider ID, firstcycling.com rider identifier, FirstCycling rider identifier (wd:P10902 as wdt/p): identifier for a rider in the database of FirstCycling
9. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
10. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name

No other items found

[Assistant] The properties returned don't directly indicate participation in the Tour de France. However, "sport (wd:P641)" and "member of sports team (wd:P54)" could be relevant. I will try to find instances of "Tour de France" as an object of the "sport" property.

[Tool]
Top 10 entity alternatives:
1. Deutsche Tourenwagen Masters, also known as DTM (wd:Q217000): German auto racing championship
2. Deutsche Tourenwagen Meisterschaft, also known as DTM (wd:Q2994800): auto racing championship in Germany
3. tourism (wd:Q49389): travel for pleasure or business
4. tournament, also known as sports tournament, sports tournaments, sport tournament, sport tournaments, tournaments (wd:Q500834): competition involving a relatively large number of competitors
5. tournament, also known as tournaments (medieval) (wd:Q736161): chivalrous competition or mock fight of the Middle Ages and Renaissance
6. tour skating, also known as Nordic ice skating (wd:Q3487326): type of ice skating on natural ice
7. tour rowing (wd:Q1722125): recreational part of rowing, with focus on tours
8. bicycle touring, also known as cycling holiday, cycling tourism (wd:Q564606): tourism by bike, long distance cycling for pleasure or adventure
9. adventure travel, also known as Active vacation, adventure tourism, outdoor adventure tourism, outdoor tourism (wd:Q782762): type of niche tourism
10. sports tourism, also known as spectator sports tourism, sporting event tourism, sport tourism (wd:Q2357239): non-Olympic type of sport and venues for all-year-round spectator sport events

No other items found

No literal items found

[Assistant] This search didn't give me the Tour de France as an entity. I'll search for the entity "Tour de France".

[Tool]
Top 10 entity alternatives:
1. Tour de France, also known as Souvenir Henri Desgrange, TdF, Le Tour de France, Le Tour, La Grande Boucle (wd:Q33881): multiple-stage bicycle race primarily held in France
2. Tour de France (wd:Q2425911): 1983 Kraftwerk song
3. Pro Cycling Manager 2011, also known as Pro Cycling Manager: Season 2011, Tour de France (wd:Q3406163): 2011 video game
4. Tour de France (wd:Q23925083): 2016 film by Rachid Djaïdani
5. Tour de France, also known as Le Tour de France (wd:Q16964929): video game series
6. Tour de France (wd:Q3533332)
7. Tour de France (wd:Q70142694): 1985 video game
8. 2014 Tour de France, also known as Tour de France 2014, TdF 2014, Le Tour de France 2014 (wd:Q895853): 2014 edition of a multiple-stage bicycle race primarily held in France
9. 2012 Tour de France (wd:Q219414): cycling competition
10. 2010 Tour de France (wd:Q217287): cycling race

[Assistant] The first result, "Tour de France (wd:Q33881)", is the correct entity. Now I can construct a query to check if Udo Bölts participated in the Tour de France. I'll use the "participated in" property (wdt:P1344).

[Tool] False

[Assistant] The query result is False.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?son ?sonLabel ?occupation ?occupationLabel WHERE {
  VALUES ?son {
    wd:Q311238 wd:Q357974
  }
  ?son wdt:P106 ?occupation .
  ?son rdfs:label ?sonLabel .
  ?occupation rdfs:label ?occupationLabel .
  FILTER ( LANG( ?sonLabel ) = "en" ) .
  FILTER ( LANG( ?occupationLabel ) = "en" ) .
}

Got 16 rows and 4 columns, showing the first 5 and last 5 rows below:
| ?son                       | ?sonLabel     | ?occupation                     | ?occupationLabel |
| -------------------------- | ------------- | ------------------------------- | ---------------- |
| Sean Lennon (wd:Q311238)   | Sean Lennon   | singer (wd:Q177220)             | singer           |
| Julian Lennon (wd:Q357974) | Julian Lennon | singer (wd:Q177220)             | singer           |
| Sean Lennon (wd:Q311238)   | Sean Lennon   | screenwriter (wd:Q28389)        | screenwriter     |
| Julian Lennon (wd:Q357974) | Julian Lennon | photographer (wd:Q33231)        | photographer     |
| Sean Lennon (wd:Q311238)   | Sean Lennon   | actor (wd:Q33999)               | actor            |
| ...                        | ...           | ...                             | ...              |
| Sean Lennon (wd:Q311238)   | Sean Lennon   | poet (wd:Q49757)                | poet             |
| Julian Lennon (wd:Q357974) | Julian Lennon | poet (wd:Q49757)                | poet             |
| Julian Lennon (wd:Q357974) | Julian Lennon | recording artist (wd:Q55960555) | recording artist |
| Sean Lennon (wd:Q311238)   | Sean Lennon   | guitarist (wd:Q855091)          | guitarist        |
| Julian Lennon (wd:Q357974) | Julian Lennon | guitarist (wd:Q855091)          | guitarist        |

Sean Lennon's professions include singer, screenwriter, actor, composer, film score composer, multi-instrumentalist, poet, and guitarist. Julian Lennon's professions include singer, photographer, songwriter, actor, composer, poet, recording artist, and guitarist.

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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 are the professions of John Lennon’s sons?

[Assistant] Okay, let's start by finding John Lennon's entity ID in Wikidata.

[Tool]
Top 10 entity alternatives:
1. John Lennon, also known as John Winston Ono Lennon, John Ono Lennon (wd:Q1203): British musician (1940–1980), political activist, singer-songwriter, recording artist, record producer, peace activist, public figure, film director, film producer, prose writer, film actor, guitarist, composer, painter, pianist, singer, writer, actor, poet
2. Liverpool John Lennon Airport, also known as John Lennon, John Lennon airport, Liverpool Airport, Liverpool (John Lennon), LPL (wd:Q8727): airport in Liverpool, England
3. John Lennon Silva Santos, also known as John Lennon (wd:Q6244563): association football player, Brazilian footballer
4. John Brown Lennon, also known as John B. Lennon, John Lennon (wd:Q6223555): American labor leader (1850–1923), trade unionist
5. John Lennon, also known as J. John Lennon, Justin John Lennon (wd:Q11979004): Scottish tourism researcher, university teacher, tourism scholar
6. John Lennon (wd:Q65548791): Irish hurler born 1996
7. John Lennon (wd:Q6244553): British naval captain, military personnel
8. John Lennon (wd:Q12871620): 1855 - 3 Aug 1921
9. John Lennon (wd:Q125643070): 2005 edition of written work by Jordi Sierra i Fabra
10. John Lennon (wd:Q106781630): 2015 song by SCH

[Assistant] The first result, "John Lennon (wd:Q1203): British musician (1940–1980), political activist, singer-songwriter, recording artist, record producer, peace activist, public figure, film director, film producer, prose writer, film actor, guitarist, composer, painter, pianist, singer, writer, actor, poet" seems to be the correct one. So, let's find his sons using the property "child".

[Tool]
Got 4 rows and 3 columns:
| subject                | property        | object                          |
| ---------------------- | --------------- | ------------------------------- |
| John Lennon (wd:Q1203) | child (wdt:P40) | Sean Lennon (wd:Q311238)        |
| John Lennon (wd:Q1203) | child (wdt:P40) | Julian Lennon (wd:Q357974)      |
| John Lennon (wd:Q1203) | child (wdt:P40) | John Ono Lennon (wd:Q124306663) |
| John Lennon (wd:Q1203) | child (wdt:P40) | John Lennon III (wd:Q124306740) |

[Assistant] Okay, it seems John Lennon has four children according to Wikidata: Sean Lennon (Q311238), Julian Lennon (Q357974), John Ono Lennon (Q124306663), and John Lennon III (Q124306740). The last two seem to be duplicates or incorrect entries, so let's focus on Sean and Julian Lennon. Now, let's find their professions.

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as psv/ps/pq/pqn/prv/wdt/psn/p/pr/pqv/wdtn/prn): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. field of this occupation, also known as practice, works in, profession's field, practices, field of this profession (wd:P425 as psv/ps/pq/pqn/prv/wdt/psn/p/pr/pqv/wdtn/prn): field corresponding to this occupation or profession (use only f...fessions - for people use Property:P101, for companies use P452)
3. members have occupation, also known as profession of members, organization of, organization for, organisation of, organisation for (wd:P3989 as psv/ps/pq/pqn/prv/wdt/psn/p/pr/pqv/wdtn/prn): some or all members of this group share the occupation
4. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as psv/ps/pq/pqn/prv/wdt/psn/p/pr/pqv/wdtn/prn): specialization of a person or organization; see P106 for the occupation, interested in
5. practiced by, also known as proponent, studied by, practitioners, practioner, occupation of this field (wd:P3095 as psv/ps/pq/pqn/prv/wdt/psn/p/pr/pqv/wdtn/prn): type of agents that study this subject or work in this field
6. professional name (wd:P2838 as psv/ps/pq/pqn/prv/wdt/psn/p/pr/pqv/wdtn/prn): name passed down by generation assumed by a master of a traditional Japanese art or sport such as kabuki or sumo
7. pseudonym, also known as nom de plume, nom-de-plume, nome de guerre, pen name, ring name (wd:P742 as psv/ps/pq/pqn/prv/wdt/psn/p/pr/pqv/wdtn/prn): alias used by someone (for nickname use P1449), name
8. employer, also known as working at, working for, working place, works at, works for (wd:P108 as psv/ps/pq/pqn/prv/wdt/psn/p/pr/pqv/wdtn/prn): person or organization for which the subject works or worked, affiliation
9. form of creative work, also known as work type, work form, type of work, artform, type of reference work (wd:P7937 as psv/ps/pq/pqn/prv/wdt/psn/p/pr/pqv/wdtn/prn): structure of a creative work
10. position held, also known as function, held position, holds position, job, office held (wd:P39 as psv/ps/pq/pqn/prv/wdt/psn/p/pr/pqv/wdtn/prn): subject currently or formerly holds the object position or public office

[Assistant] The property "occupation (wd:P106)" seems to be the correct one. Let's use it to find the professions of Sean and Julian Lennon.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] I apologize for the error in the previous query. The `SERVICE wikibase:label` is not supported. I will rewrite the query without it.

[Tool]
Got 16 rows and 4 columns, showing the first 5 and last 5 rows below:
| ?son                       | ?sonLabel     | ?occupation                     | ?occupationLabel |
| -------------------------- | ------------- | ------------------------------- | ---------------- |
| Sean Lennon (wd:Q311238)   | Sean Lennon   | singer (wd:Q177220)             | singer           |
| Julian Lennon (wd:Q357974) | Julian Lennon | singer (wd:Q177220)             | singer           |
| Sean Lennon (wd:Q311238)   | Sean Lennon   | screenwriter (wd:Q28389)        | screenwriter     |
| Julian Lennon (wd:Q357974) | Julian Lennon | photographer (wd:Q33231)        | photographer     |
| Sean Lennon (wd:Q311238)   | Sean Lennon   | actor (wd:Q33999)               | actor            |
| ...                        | ...           | ...                             | ...              |
| Sean Lennon (wd:Q311238)   | Sean Lennon   | poet (wd:Q49757)                | poet             |
| Julian Lennon (wd:Q357974) | Julian Lennon | poet (wd:Q49757)                | poet             |
| Julian Lennon (wd:Q357974) | Julian Lennon | recording artist (wd:Q55960555) | recording artist |
| Sean Lennon (wd:Q311238)   | Sean Lennon   | guitarist (wd:Q855091)          | guitarist        |
| Julian Lennon (wd:Q357974) | Julian Lennon | guitarist (wd:Q855091)          | guitarist        |

[Assistant] The query returned the professions of both Sean and Julian Lennon. Now I will format the answer.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?stadium WHERE {
  wd:Q213417 wdt:P115 ?stadium .
}

The New York Yankees play at Yankee Stadium (wd:Q753529).

[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:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
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] In which stadium do the New York Yankees play?

[Assistant]
Okay, let's start by identifying the entities and properties involved in the question. The main entity is the "New York Yankees". The question asks about the stadium where they play, which implies the property "stadium" or "venue".

First, I need to find the Wikidata ID for the New York Yankees.

[Tool]
Top 10 entity alternatives:
1. New York Yankees, also known as New York Highlanders, Yankees, NY Yankees, NYY, Highlanders (wd:Q213417): baseball team and Major League Baseball franchise in the Bronx, New York, United States
2. New York Yankees (wd:Q979646): defunct American football team
3. New York Yankees (wd:Q1275088): American football team from 1946 to 1949
4. New York Yankees (wd:Q7014865): American football team in 1936
5. New York Yankees (wd:Q16845944): association football (soccer) team
6. New York Yankees (wd:Q7014868): American football team in 1940
7. New York Yankees Museum (wd:Q7014872): baseball museum in The Bronx
8. New York Black Yankees, also known as Black Yankees (wd:Q7013072): Negro League Baseball team active from 1931-1948; record: 243-462-19 (.345)
9. history of the New York Yankees, also known as New York Yankees history, the New York Yankees history (wd:Q5870090): Sports team history
10. Saratoga Harlem Yankees, also known as Glens Falls-Saratoga, New York Harlem Yankees, Schenectady Yankees (wd:Q7423363): defunct American basketball team

[Assistant] The first result, "New York Yankees (wd:Q213417)", seems to be the correct one, as it is described as a "baseball team and Major League Baseball franchise". Now I need to find the property that links a team to its stadium. I'll search for properties of the New York Yankees related to "stadium" or "venue".

[Tool]
Top 10 property alternatives:
1. home venue, also known as home water, venue, stadium, home ground, home field (wd:P115 as wdt/p): home stadium or venue of a sports team or applicable performing arts organization, location
2. sport, also known as play, plays, sport played, sports (wd:P641 as wdt/p): sport that the subject participates or participated in or is associated with
3. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as wdt/p): league or competition in which team or player has played, or in which an event occurs, participant in
4. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
6. head coach, also known as team manager, trainer, senior coach, manager, coached by (wd:P286 as wdt/p): on-field manager or head coach of a sports club (not to be confu...eneral manager P505, which is not a coaching position) or person
7. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as wdt/p): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
8. logo image, also known as masthead, wordmark, trademark, trade mark, sign (wd:P154 as wdt/p): graphic mark or emblem commonly used by commercial enterprises, organizations and products, icon
9. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
10. SportsLogos.net team ID, also known as SportsLogos.net ID (wd:P9122 as wdt/p): identifier for a sports organization on the website Sports Logos

No other items found

[Assistant] The property "home venue (wd:P115)" seems to be the most appropriate. Now I can construct a SPARQL query to find the home venue of the New York Yankees.

[Tool]
Got 1 row and 1 column:
| ?stadium                    |
| --------------------------- |
| Yankee Stadium (wd:Q753529) |

[Assistant] The query returned "Yankee Stadium (wd:Q753529)". Now I can provide the final answer.

[Tool] Stopped generation process