PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?person ?personLabel ( COUNT( DISTINCT ?award ) AS ?count ) WHERE {
  VALUES ?person {
    wd:Q41421 wd:Q25369
  }
  .
  ?person wdt:P166 ?award .
  ?award rdfs:label ?awardLabel .
  FILTER ( LANG( ?awardLabel ) = "en" && ( CONTAINS( ?awardLabel , "NBA" ) || CONTAINS( ?awardLabel , "National Basketball Association" ) ) ) .
  OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( LANG( ?personLabel ) = "en" )
  }
}
GROUP BY ?person ?personLabel
ORDER BY DESC ( ?count )
LIMIT 1

Michael Jordan

[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 http://amur:7001

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] who has won more NBA awards, Michael Jordan or Kobe Bean Bryant？

[Tool]
Top 10 entity alternatives:
1. WNBA Most Valuable Player Award, also known as Women's National Basketball Association Most Valuable Player Award, WNBA MVP Award (wd:Q1339172): award
2. National Basketball Association, also known as Basketball Association of America, BAA, NBA, National Basketball Assn., Nat'l Basketball Assn. (wd:Q155223): North American professional men's basketball league
3. NBA Sixth Man of the Year Award, also known as National Basketball Association's Sixth Man of the Year Award (wd:Q844517): award given annually to the league's best bench player
4. Women's National Basketball Association, also known as WNBA (wd:Q2593221): professional women's basketball league in the United States
5. National Basketball Association draft, also known as NBA draft (wd:Q622521): National Basketball Association annual event
6. NBA Playoffs, also known as National Basketball Association Playoffs (wd:Q2265397): best-of-seven elimination tournament annually held after the NBA
7. National Basketball Players Association, also known as NBPA (wd:Q1627222): trade union
8. National Wheelchair Basketball Association (wd:Q12811067): organization in Colorado Springs, United States
9. WikiProject National Basketball Association (wd:Q8256083): Wikimedia subject-area collaboration
10. The League, also known as Mongolian Basketball League, Mongolian National Basketball Association (wd:Q48851136): Basketball league in Mongolia

[Tool]
Top 10 entity alternatives:
1. NBA Most Valuable Player Award, also known as Maurice Podoloff Trophy, Most Valuable Player Award, MVP, NBA MVP, NBA MVP Award (wd:Q222047): award
2. NBA Sportsmanship Award (wd:Q1418596): award
3. NBA Hustle Award (wd:Q109425648): Annual basketball award
4. NBA Awards (wd:Q55624439): American basketball awards show
5. Bill Russell NBA Finals Most Valuable Player Award, also known as Bill Russell NBA Finals MVP Award, NBA Finals Most Valuable Player, NBA Finals Most Valuable Player Award, NBA Finals MVP, NBA Finals MVP Award (wd:Q739499): award
6. NBA Lifetime Achievement Award (wd:Q30688805): National Basketball Association award
7. NBA Community Assist Award (wd:Q16955372): National Basketball Association award
8. 2018 NBA Awards (wd:Q55602400): North American basketball awards show
9. 2017 NBA Awards (wd:Q30641834)
10. 2019 NBA Awards (wd:Q65071542)

[Tool]
Got 1 row and 3 columns:
| subject                                     | property              | object     |
| ------------------------------------------- | --------------------- | ---------- |
| NBA Most Valuable Player Award (wd:Q222047) | instance of (wdt:P31) | wd:Q652965 |

[Tool]
Top 10 entity alternatives:
1. WNBA Most Valuable Player Award, also known as Women's National Basketball Association Most Valuable Player Award, WNBA MVP Award (wd:Q1339172): award
2. National Basketball Association, also known as Basketball Association of America, BAA, NBA, National Basketball Assn., Nat'l Basketball Assn. (wd:Q155223): North American professional men's basketball league
3. NBA Sixth Man of the Year Award, also known as National Basketball Association's Sixth Man of the Year Award (wd:Q844517): award given annually to the league's best bench player
4. Women's National Basketball Association, also known as WNBA (wd:Q2593221): professional women's basketball league in the United States
5. National Basketball Association draft, also known as NBA draft (wd:Q622521): National Basketball Association annual event
6. NBA Playoffs, also known as National Basketball Association Playoffs (wd:Q2265397): best-of-seven elimination tournament annually held after the NBA
7. National Basketball Players Association, also known as NBPA (wd:Q1627222): trade union
8. National Wheelchair Basketball Association (wd:Q12811067): organization in Colorado Springs, United States
9. WikiProject National Basketball Association (wd:Q8256083): Wikimedia subject-area collaboration
10. The League, also known as Mongolian Basketball League, Mongolian National Basketball Association (wd:Q48851136): Basketball league in Mongolia

[Tool]
Got 346 rows and 3 columns, showing the first 10 rows below:
| subject                                     | property                         | object                              |
| ------------------------------------------- | -------------------------------- | ----------------------------------- |
| NBA Most Valuable Player Award (wd:Q222047) | instance of (wdt:P31)            | wd:Q652965                          |
| NBA Most Valuable Player Award (wd:Q222047) | country (wdt:P17)                | United States (wd:Q30)              |
| NBA Most Valuable Player Award (wd:Q222047) | inception (wdt:P571)             | 1956-01-01T00:00:00Z (xsd:dateTime) |
| NBA Most Valuable Player Award (wd:Q222047) | sport (wdt:P641)                 | basketball (wd:Q5372)               |
| NBA Most Valuable Player Award (wd:Q222047) | topic's main category (wdt:P910) | wd:Q9630219                         |
| NBA Most Valuable Player Award (wd:Q222047) | winner (wdt:P1346)               | Michael Jordan (wd:Q41421)          |
| NBA Most Valuable Player Award (wd:Q222047) | name in kana (wdt:P1814)         | さいゆうしゅうせんしゅしょう                      |
| NBA Most Valuable Player Award (wd:Q222047) | Freebase ID (wdt:P646)           | /m/02yqk8                           |
| NBA Most Valuable Player Award (wd:Q222047) | Lex ID (wdt:P8313)               | NBA_Most_Valuable_Player            |
| NBA Most Valuable Player Award (wd:Q222047) | wdt:P31279                       | award (wd:Q618779)                  |
| ...                                         | ...                              | ...                                 |

[Tool]
Top 10 entity alternatives:
1. Kobe Bryant, also known as Kobe Bean Bryant, Kobe B. Bryant, Kobe, KB24, Black Mamba (wd:Q25369): American basketball player (1978–2020), professional athlete, basketball player, screenwriter
2. Kobe Bryant Day (wd:Q98969272): proposed Federal Holiday
3. death of Kobe Bryant, also known as Kobe Bryant death, Kobe Bryant's death (wd:Q83737550): 26 January 2020 death of Kobe Bryant in helicopter crash
4. Kobe Bryant Boulevard (wd:Q107299206): proposed street renaming in Los Angeles
5. NBA All-Star Game Kobe Bryant Most Valuable Player Award, also known as Kobe Bryant Most Valuable Player Award, Kobe Bryant MVP Award, NBA All-Star Game Kobe Bryant MVP Award (wd:Q31391): basketball award of the National Basketball Association (NBA)
6. Kobe Bryant China Fund (wd:Q6424297): for education, sports, and culture programs for children from China and the United States
7. Statue of Kobe Bryant (wd:Q125101336): sculpture in Los Angeles, California, U.S
8. Kobe Bryant/Ice Cube (wd:Q125446155): episode of All That (S4 E19)
9. Kobe Bryant sexual assault case (wd:Q6424298): legal case
10. Kobe Bryant in NBA Courtside (wd:Q3198120): 1998 video game

[Tool]
Got 2 rows and 3 columns:
| subject                                      | property              | object                        |
| -------------------------------------------- | --------------------- | ----------------------------- |
| NBA Sixth Man of the Year Award (wd:Q844517) | instance of (wdt:P31) | award (wd:Q618779)            |
| NBA Sixth Man of the Year Award (wd:Q844517) | instance of (wdt:P31) | class of award (wd:Q38033430) |

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 3 (xsd:int) |

[Tool]
Top 10 property alternatives:
1. conferred by, also known as presented by, officiated by, issued by, granted by, given by (wd:P1027 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): person or organization who grants an award, certification, grant, or role
2. presenter, also known as TV host, TV presenter, presented by, hostess, hosted by (wd:P371 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): main role in presenting a radio or television program or a performing arts show, significant person, cast member
3. organizer, also known as promoter, presenter, organizing body, organized by, organising body (wd:P664 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): person or institution organizing an event
4. presented in, also known as held at meeting, presented at, screened at (wd:P5072 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): event at which a talk, film, paper, or poster was presented
5. talk show guest, also known as show guest, podcast guest, participant in talk show, participant in podcast interview, interviewed person (wd:P5030 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): person invited in a talk show, recorded participant
6. funder, also known as benefactor, sponsored by, sponsor, has funder, has donor (wd:P8324 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): entity that gives money to a person, organization, or project for a specific purpose, sponsor
7. sponsor, also known as benefactor, endorsed by, patron, sponsored by (wd:P859 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): organization or individual that sponsors this item
8. speaker, also known as speech by, spoken by (wd:P823 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): person who is speaker for this event, ceremony, keynote, presentation or in a literary work, participant, spoken by
9. spoken by, also known as speaker (wd:P10894 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): the person who is speaking in this audio or video file
10. guest of honor, also known as guest of honour (wd:P967 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): guest(s) of honor invited to an event, e.g. a convention, participant

[Tool] Got no rows and 3 columns

[Tool]
Got 35 rows and 3 columns, showing the first 10 rows below:
| subject                                     | property           | object                           |
| ------------------------------------------- | ------------------ | -------------------------------- |
| NBA Most Valuable Player Award (wd:Q222047) | winner (wdt:P1346) | Michael Jordan (wd:Q41421)       |
| NBA Most Valuable Player Award (wd:Q222047) | winner (wdt:P1346) | Kobe Bryant (wd:Q25369)          |
| NBA Most Valuable Player Award (wd:Q222047) | winner (wdt:P1346) | LeBron James (wd:Q36159)         |
| NBA Most Valuable Player Award (wd:Q222047) | winner (wdt:P1346) | Kareem Abdul-Jabbar (wd:Q179051) |
| NBA Most Valuable Player Award (wd:Q222047) | winner (wdt:P1346) | Magic Johnson (wd:Q134183)       |
| NBA Most Valuable Player Award (wd:Q222047) | winner (wdt:P1346) | Larry Bird (wd:Q190152)          |
| NBA Most Valuable Player Award (wd:Q222047) | winner (wdt:P1346) | Shaquille O'Neal (wd:Q169452)    |
| NBA Most Valuable Player Award (wd:Q222047) | winner (wdt:P1346) | Kevin Durant (wd:Q29545)         |
| NBA Most Valuable Player Award (wd:Q222047) | winner (wdt:P1346) | Stephen Curry (wd:Q352159)       |
| NBA Most Valuable Player Award (wd:Q222047) | winner (wdt:P1346) | Wilt Chamberlain (wd:Q182455)    |
| ...                                         | ...                | ...                              |

[Tool]
Top 10 entity alternatives:
1. NBA Sixth Man of the Year Award, also known as National Basketball Association's Sixth Man of the Year Award (wd:Q844517): award given annually to the league's best bench player
2. Geno Auriemma Award, also known as United States Basketball Writers...National Coach of the Year Award, USBWA Women's National Coach of the Year (wd:Q25005271): US women's college basketball coaching award
3. Expansion of the National Basketball Association (wd:Q28456407): NBA Expansion
4. The Rise of the National Basketball Association (wd:Q58514221)
5. Philippine Basketball Association Rookie of the Year award (wd:Q3544152): annual Philippine Basketball Association award
6. Philippine Basketball Association Coach of the Year Award (wd:Q7184981)
7. Continental Basketball Association Player of the Year Award, also known as Eastern Basketball Association (EBA) Most Valuable Player (wd:Q29915021)
8. Continental Basketball Association Rookie of the Year Award (wd:Q65065164)
9. Continental Basketball Association Newcomer of the Year Award (wd:Q29915024)
10. The National Rifle Association of Norway award of honor (wd:Q11965445): Norwegian civil distinction

[Tool] No entity items found

[Tool]
Top 10 property alternatives:
1. league or competition, also known as tournament, sports league, division, cup, competition (wd:P118 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): league or competition in which team or player has played, or in which an event occurs, participant in
2. sports league level, also known as league level, sport league level, level on sport league pyramid, level on league pyramid, level on pyramid (wd:P3983 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): the level of the sport league in the sport league system
3. sports season of league or competition, also known as sport season, seasons of, edition of annual athletics meeting, season of sports tournament, season of sports league (wd:P3450 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): property that shows the competition of which the item is a season. Use P5138 for "season of club or team"., part of
4. sports discipline competed in, also known as sport discipline competed in, weight class competed in, sports event, sports disciplines competed in, sports discipline (wd:P2416 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): discipline an athlete competed in within a sport, field of work
5. sport, also known as play, plays, sport played, sports (wd:P641 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): sport that the subject participates or participated in or is associated with
6. league system (wd:P6587 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): league system the league belongs to
7. member of sports team, also known as plays for, played for, sport team, team, team played for (wd:P54 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): sports teams or clubs that the subject represents or represented, member of
8. supported sports team, also known as Fan of sports team, team supported, Supports sports team, Sports team supported, is a fan of team (wd:P6758 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): sports team for which a person or a group is a supporter
9. qualifies for event, also known as league this event qualifies for (wd:P3085 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): this event qualifies for that event
10. season of club or team, also known as season of athletics program, season of club, season of team, sports season of club or team (wd:P5138 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): club or team that played the season

[Tool]
Got 152 rows and 3 columns, showing the first 10 rows below:
| subject     | property                         | object                                          |
| ----------- | -------------------------------- | ----------------------------------------------- |
| wd:Q9630219 | instance of (wdt:P31)            | wd:Q4167836                                     |
| wd:Q9630219 | category's main topic (wdt:P301) | NBA Most Valuable Player Award (wd:Q222047)     |
| wd:Q9630219 | schema:description               | categoria de um projeto da Wikimedia (pt)       |
| wd:Q9630219 | schema:name                      | Categoría:Most Valuable Player (NBA) (es)       |
| wd:Q9630219 | rdf:type                         | wikibase:Item                                   |
| wd:Q9630219 | rdfs:label                       | Categoría:Most Valuable Player (NBA) (es)       |
| wd:Q9630219 | skos:prefLabel                   | Categoría:Most Valuable Player (NBA) (es)       |
| wd:Q9630219 | wdt:P31279                       | wd:Q4167836                                     |
| wd:Q9630219 | instance of (p:P31)              | s:Q9630219-FDEEC810-B98A-4945-86E2-9F10E843FB72 |
| wd:Q9630219 | category's main topic (p:P301)   | s:Q9630219-82479231-212A-449D-9850-A5C8D466AF16 |
| ...         | ...                              | ...                                             |

[Tool] Got no rows and 3 columns

[Tool]
Top 10 property alternatives:
1. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as p/wdt): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
2. country, also known as sovereign state, state, land, host country (wd:P17 as p/wdt): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
3. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as p/wdt): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. competition class, also known as disability sport classifications, weight class, rated at, qualifies for, qualification class (wd:P2094 as p/wdt): official classification by a regulating body under which the sub...ents, teams, participants, or equipment) qualifies for inclusion
7. sport, also known as play, plays, sport played, sports (wd:P641 as p/wdt): sport that the subject participates or participated in or is associated with
8. director / manager, also known as leader, manager, manager/director, managing director, Officer-in-Charge (wd:P1037 as p/wdt): person who manages any kind of group, significant person
9. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category
10. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as p/wdt): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name

No other items found

[Tool] Got no rows and 3 columns

[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'

[Tool]
Got 1 row and 3 columns:
| person                     | personLabel         | count        |
| -------------------------- | ------------------- | ------------ |
| Michael Jordan (wd:Q41421) | Michael Jordan (en) | 10 (xsd:int) |

[Tool]
Got 2 rows and 3 columns:
| person                     | personLabel         | count        |
| -------------------------- | ------------------- | ------------ |
| Michael Jordan (wd:Q41421) | Michael Jordan (en) | 10 (xsd:int) |
| Kobe Bryant (wd:Q25369)    | Kobe Bryant (en)    | 6 (xsd:int)  |

[Tool] Got no rows and 3 columns

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?work ?workLabel WHERE {
  wd:Q550311 wdt:P800 ?work .
  FILTER ( ?work != wd:Q696071 ) .
  ?work wdt:P921 wd:Q16003532 .
  OPTIONAL {
    ?work rdfs:label ?workLabel FILTER ( lang( ?workLabel ) = "en" )
  }
}

Yu Yu Hakusho

[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 http://amur:7001

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] among the other representative work of the author of hunter x hunter, which one is talking about middle school student?

[Tool]
Top 10 entity alternatives:
1. middle school student, also known as middle school pupil (wd:Q16003532): student in late primary or early secondary education
2. Additional Incentive for Middle School Students (wd:Q126270572): scholarly article
3. Electronic bullying among middle school students (wd:Q39823864): scientific article
4. Doremi's Boyfriend is a Middle School Student!, also known as Ojamajo Doremi S01EP39, Ojamajo Doremi Season 1 Episode 39, Ojamajo Doremi Season 1 ep. 39, Ojamajo Doremi Season 1 ep 39, Ojamajo Doremi S1EP39 (wd:Q117319259): Episode 39 of Ojamajo Doremi Season 1
5. Reading Preferences of Middle School Students (wd:Q129963064): scholarly article published on 17 April 2018
6. Recruiting middle school students into nursing (wd:Q37192510): scientific article published on June 2008
7. Middle school students' knowledge of autism. (wd:Q46354310): scientific article published in June 2011
8. Middle school students’self-concept and mental health (wd:Q120364046): scholarly article in Journal of Anhui Normal University (Hum.& Soc.Sci.), no. 1, 2006
9. Measuring Middle School Students’ Algebra Readiness (wd:Q99717858)
10. Sally Ride EarthKAM, also known as Earth Knowledge Acquired by Middle school students, A, ISS EarthKAM (wd:Q5974510): NASA outreach program

[Tool]
Top 10 entity alternatives:
1. Yoshihiro Togashi, also known as Togashi Yoshihiro (wd:Q550311): Japanese manga artist, graphic artist
2. 5915 Yoshihiro, also known as Yoshihiro (wd:Q637101): asteroid
3. 9277 Togashi, also known as Togashi (wd:Q572020): asteroid
4. Yoshihiro, also known as よしひろ (wd:Q8056051): Japanese male given name (よしひろ)
5. Togashi (wd:Q11395115): Japanese mangaka, mangaka
6. Togashi (wd:Q37571116): Japanese family name
7. Togashi (wd:Q11457022): dissolved municipality in Ishikawa district, Ishikawa prefecture, Japan
8. Yoshihiro (wd:Q65555001): Japanese swordsmith
9. Kogo Togashi, also known as Togashi (wd:Q21610822): botanist (1895-1952), botanist
10. Togashi, also known as Togasi (wd:Q26216185): Japanese family name (富樫)

[Tool]
Got 3 rows and 2 columns:
| work                         | workLabel            |
| ---------------------------- | -------------------- |
| Yu Yu Hakusho (wd:Q18225473) | Yu Yu Hakusho (en)   |
| Level E (wd:Q483557)         | Level E (en)         |
| Hunter × Hunter (wd:Q696071) | Hunter × Hunter (en) |

[Tool]
Got 1 row and 2 columns:
| work                         | workLabel          |
| ---------------------------- | ------------------ |
| Yu Yu Hakusho (wd:Q18225473) | Yu Yu Hakusho (en) |

[Tool]
Top 10 entity alternatives:
1. Hunter × Hunter, also known as HUNTER × HUNTER, Hunter x Hunter, HXH (wd:Q696071): Japanese manga series
2. Hunter × Hunter, also known as H×H, Hunter x Hunter, HxH (wd:Q70209136): 2011 Japanese anime television series
3. Hunter × Hunter, also known as Hunter x Hunter, HxH (wd:Q21232458): 1999 Japanese anime television series
4. Monster Hunter Generations, also known as Monster Hunter X (wd:Q20856979): 2015 Japanese video game
5. Hunter Xcite (wd:Q60767092): sailboat class
6. Xavier Hunter (wd:Q100806788): basketball player
7. Hunter × Hunter: Phantom Rouge, also known as Hunter X Hunter: Phantom Rouge (wd:Q11398237): 2013 film by Yūzō Satō
8. City Hunter XYZ (wd:Q97170832): fan film by Filip Wong
9. Monster Hunter Generations Ultimate, also known as Monster Hunter XX (wd:Q30302563): 2017 video game
10. XX: Beautiful Hunter (wd:Q8042573): 1994 film by Masaru Konuma

[Tool] Got no rows and 3 columns

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK WHERE {
  wd:Q1067089 wdt:P31 wd:Q82821 .
}

No, throat singing is not classified as a "tradition" on Wikidata.

[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 http://amur:7001

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 throat singing a tradition?

[Tool]
Top 10 entity alternatives:
1. overtone singing, also known as overtone chanting, throat singing, harmonic singing (wd:Q691771): singing technique
2. throat singing, also known as throat song, guttural singing (wd:Q1067089): vocal practices found in different cultures of the world and tha... involve a wide range of techniques for producing voice and song
3. Inuit throat singing, also known as Iirngaaq, Inuit vocal games, Katadjak, katajjaq, Nipaquhiit (wd:Q2956224): form of musical performance uniquely found among the Inuit
4. undertone singing, also known as throat singing (wd:Q109584422): vocal technique
5. Tuvan throat singing, also known as Tuvan overtone singing, xɵɵmej, xöömэi, xöömey, xöömej (wd:Q108757333): music genre
6. Mongolian throat singing, also known as hôômij, khoomei, khöömii, khöömiĭ, Mongolian overtone singing (wd:Q16801007): music genre
7. Throat Singing in Kangirsuk (wd:Q85809428): 2019 film
8. Central Asian throat singing (wd:Q110606359): music genre
9. Overtone focusing in biphonic tuvan throat singing (wd:Q89673823): scientific article published on 17 February 2020
10. 'With singing hearts and throaty roarings...' (wd:Q119399998): painting by Jock McFadyen (b.1950), IWM (Imperial War Museums)

[Tool]
Top 10 entity alternatives:
1. tradition, also known as custom, folk custom (wd:Q82821): custom passed down through generations
2. common law, also known as tradition, customary law system, custom, common law system, case law system (wd:Q30216): law created by judicial precedent
3. heritage, also known as tradition (wd:Q2434238): property, custom, or other material, immaterial or natural objec...rations, and conserved for its importance for future generations
4. Tradition (wd:Q9019596): sculpture by Agapit Vallmitjana i Barbany
5. Rosa 'Tradition', also known as Tradition (wd:Q83670721): rose cultivar
6. Tradition (wd:Q7832266): journal
7. Tradition (wd:Q7832265): reggae band
8. Tradition (wd:Q7832263): album by Michael Angelo Batio
9. Tradition (wd:Q7832267): song
10. Tradition, also known as Tradition, thou art for suckling children (wd:Q19107178): 1905 Stephen Crane poem

[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'

[Tool]
Got 4 rows and 3 columns:
| subject                      | property              | object                        |
| ---------------------------- | --------------------- | ----------------------------- |
| throat singing (wd:Q1067089) | instance of (wdt:P31) | music genre (wd:Q188451)      |
| throat singing (wd:Q1067089) | instance of (wdt:P31) | voice type (wd:Q1063547)      |
| throat singing (wd:Q1067089) | instance of (wdt:P31) | vocal technique (wd:Q3516862) |
| throat singing (wd:Q1067089) | instance of (wdt:P31) | singing style (wd:Q112613966) |

[Tool]
Got 4 rows and 3 columns:
| subject                      | property               | object                             |
| ---------------------------- | ---------------------- | ---------------------------------- |
| throat singing (wd:Q1067089) | subclass of (wdt:P279) | singing (wd:Q27939)                |
| throat singing (wd:Q1067089) | subclass of (wdt:P279) | vocal music (wd:Q685884)           |
| throat singing (wd:Q1067089) | subclass of (wdt:P279) | vocal sound (wd:Q4393922)          |
| throat singing (wd:Q1067089) | subclass of (wdt:P279) | traditional activity (wd:Q1982569) |

[Tool]
Got 1 row and 3 columns:
| subject                            | property               | object                                  |
| ---------------------------------- | ---------------------- | --------------------------------------- |
| traditional activity (wd:Q1982569) | subclass of (wdt:P279) | intentional human activity (wd:Q451967) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?cause ?causeLabel WHERE {
  wd:Q1048 wdt:P509 ?cause .
  OPTIONAL {
    ?cause rdfs:label ?causeLabel FILTER ( LANG( ?causeLabel ) = "en" )
  }
}

Julius Caesar died of bleeding.

[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 http://amur:7001

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 author of the phrase: "Alea iacta est" die of?

[Tool]
Top 10 entity alternatives:
1. Julius Caesar, also known as Divine Julius (wd:Q1048): Roman general and dictator (100 – 44 BC), ancient Roman military personnel, Ancient Roman politician, Ancient Roman historian, Ancient Roman priest, military leader, politician, historian, memoirist, writer, orator, ruler, poet
2. Julius Caesar, also known as The Tragedy of Julius Caesar, Tragedy of Julius Caesar (wd:Q215750): play by William Shakespeare
3. Julius Caesar (wd:Q734950): 1953 film by Joseph L. Mankiewicz
4. Julius Caesar (wd:Q631476): lunar impact crater
5. Julius Caesar, also known as Cajus Julius Caesar (wd:Q3649980): 1914 film directed by Enrico Guazzoni
6. Julius Caesar (wd:Q1612412): 1970 film by Stuart Burge
7. Julius Caesar (wd:Q315616): 2002 TV miniseries directed by Uli Edel
8. Julius Caesar (wd:Q3534298): English cricketer (1830-1878), cricketer
9. Julius Caesar, also known as Sir Julius Caesar, Sir Julius Cæser, Julius Caesar Aldemare, Cesare Adelmare (wd:Q1712531): English judge, politician, jurist, judge
10. Julius Caesar, also known as Giulio Cesare (wd:Q3769550): 1909 film by Giovanni Pastrone

[Tool]
Top 10 property alternatives:
1. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
2. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
3. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
4. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): total (cumulative) number of people who died since start as a direct result of an event or cause
5. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): dissolved, abolished or demolished date, date on which the subject died, end time
6. case fatality rate, also known as fatality rate, CFR, case fatality ratio, case fatality, case fatality risk (wd:P3457 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): proportion of patients who die of a particular medical condition out of all who have this condition within a given time frame
7. death rate, also known as mortality rate (wd:P10091 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): the total number of persons dead per 1,000 population per year
8. killed by, also known as slaughtered by, slain by, shot dead by, murderer, murdered by (wd:P157 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): person or organization who killed the subject, significant person
9. has effect, also known as has symptom, implies, leads to, led to, outcome (wd:P1542 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): effect of this item, followed by
10. category for deaths in this time period (wd:P12687 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): category item for people who died in this time period, point in time

[Tool]
Got 1 row and 2 columns:
| cause                 | causeLabel    |
| --------------------- | ------------- |
| bleeding (wd:Q166019) | bleeding (en) |

[Tool]
Got 1 row and 2 columns:
| manner                | mannerLabel   |
| --------------------- | ------------- |
| homicide (wd:Q149086) | homicide (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?eventLabel WHERE {
  wd:Q5582 wdt:P793 ?event .
  ?event rdfs:label ?eventLabel .
  FILTER ( LANG( ?eventLabel ) = "en" )
}

Got 1 row and 1 column:
| eventLabel       |
| ---------------- |
| self-injury (en) |

The key event related to Salvador Dalí was self-injury.

[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 http://amur:7001

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 was the key event related to Salvador Dalí?

[Tool]
Got 1 row and 2 columns:
| event                    | eventLabel       |
| ------------------------ | ---------------- |
| self-injury (wd:Q622527) | self-injury (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q3616 wdt:P1082 ?popIran .
  wd:Q64 wdt:P1082 ?popGermany .
  FILTER ( ?popIran > ?popGermany )
}

Yes, the capital of Iran (Tehran) has a larger population than the capital of Germany (Berlin).

[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 http://amur:7001

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 capital of Iran bigger than that of Germany?

[Tool]
Top 10 entity alternatives:
1. Tehran, also known as Teheran, Ṭihrán (wd:Q3616): capital city of Iran
2. Tehran, also known as Ṭihrán, Teheran (wd:Q3616): capital city of Iran
3. Tiran, also known as Tirūn, Tihrān, Tehrān, Tīrān (wd:Q2633350): city in Isfahan Province, Iran
4. Tehran (wd:Q90389788): Israeli spy drama television series
5. Tehran (wd:Q3488811): 1946 film by Giacomo Gentilomo
6. Tehran Von Ghasri, also known as Tehran Ghasri, Tehran (wd:Q30072605): television actor, American actor, film actor, comedian
7. Tehran, also known as Tehroun (wd:Q56357915): 2009 film directed by Nader Takmil Homayoun
8. Tehran (wd:Q123740700): upcoming Indian Hindi- language thriller Action film directed by Arun Gopalan
9. Tehran (wd:Q17361623): British Thoroughbred racehorse and sire
10. Tehran (wd:Q3982596): 1988 album by The Offspring

[Tool]
Top 10 entity alternatives:
1. Berlin, also known as Berlin (Germany), Berlin, Germany, DE-BE (wd:Q64): federated state, capital and largest city of Germany
2. Berlin, also known as Berlin, New Hampshire, Berlin, NH (wd:Q821244): city in Coos County, New Hampshire, United States
3. Lincoln, also known as Berlin, Lincoln, IA, Lincoln, Iowa (wd:Q1930098): city in Iowa, United States
4. Berlin (wd:Q614184): town in Maryland, United States
5. Berlin, also known as Berlin, New Jersey, Long-a-Coming, New Jersey, Berlin, NJ (wd:Q1086827): borough in Camden County, New Jersey, United States
6. Berlin, also known as Berlin, GA, Berlin, Georgia, USA, Berlin, USA (wd:Q2345711): town in Colquitt County, Georgia, United States
7. Berlin, also known as Berlin, WI, Berlin, Wisconsin (wd:Q1569850): city in Green Lake and Waushara counties, Wisconsin, United States
8. Berlin, also known as Berlin, ND, Berlin, North Dakota (wd:Q821229): city in North Dakota
9. Berlin (wd:Q2504681): village in Illinois, U.S.
10. Berlin (wd:Q821198): American synthpop band

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( ?language ) AS ?count ) WHERE {
  wd:Q30 wdt:P37 ?language .
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 1 (xsd:int) |

The United States of America has 1 official language.

[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 http://amur:7001

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 official languages does the united states of america have?

[Tool]
Got 1 row and 3 columns:
| subject                | property                    | object             |
| ---------------------- | --------------------------- | ------------------ |
| United States (wd:Q30) | official language (wdt:P37) | English (wd:Q1860) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK WHERE {
  wd:Q183 wdt:P2046 ?areaGermany .
  wd:Q36 wdt:P2046 ?areaPoland .
  FILTER ( ?areaGermany > ?areaPoland )
}

Yes, Germany is bigger than Poland.

[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 http://amur:7001

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 Germany bigger than Poland?

[Tool]
Top 10 entity alternatives:
1. Germany, also known as BR Deutschland, Bundesrepublik Deutschland, Deutschland, Federal Republic of Germany (wd:Q183): country in Central Europe
2. Weimar Republic, also known as German Republic, Weimar Germany, Republic of Germany, Germany, German Reich (wd:Q41304): Germany in the years 1918/1919–1933
3. German Reich, also known as Deutsches Reich, German Empire, German Realm, Germany, Imperial Germany (wd:Q1206012): official name for the German nation state from 1871 to 1945, and name of Germany until 1949
4. Burg Drachenfels, also known as Germany (wd:Q1011486): castle
5. Germany (wd:Q5552078): European Parliament constituency
6. Geilenkirchen-Heinsberg, also known as Germany (wd:Q2268218)
7. Germany, also known as Germany, IN, Germany, Indiana (wd:Q18151573): unincorporated community in Clark County, Indiana
8. Germany (wd:Q19147844): poem by Vladimir Mayakovsky
9. Germany, also known as Ludwig, West (wd:Q3839160): Hetalia character
10. Germany, also known as Germany, Texas, Germany, TX (wd:Q15221573): unincorporated community in Houston County, Texas, United States

[Tool]
Top 10 entity alternatives:
1. Poland, also known as Republic of Poland (wd:Q36): country in Central Europe
2. Polish–Lithuanian Commonwealth, also known as Commonwealth of Poland, First Republic of Poland, Poland, Poland-Lithuania, Poland–Lithuania (wd:Q172107): historical multinational monarchist state in Central Europe (Crown of the Kingdom of Poland and the Grand Duchy of Lithuania)
3. Crown of the Kingdom of Poland, also known as Kingdom of Poland, Poland (wd:Q171348): 1385–1795 territorial possessions of the King of Poland
4. Poland, also known as Poland, OH, Poland, Ohio (wd:Q2300093): village in Ohio, United States
5. Poland, also known as Poland, Maine, Poland, ME (wd:Q1572109): town in Androscoggin County, Maine, United States
6. Polish, also known as Poland (wd:Q385059): breed of chicken
7. Poland, also known as Boran (wd:Q5763870): village in Kiribati
8. Poland, also known as Poland, Chautauqua County, New York, Poland, New York, Poland, NY (wd:Q7208883): town in Chautauqua County, New York, United States
9. Poland, also known as Poland, Herkimer County, New York, Poland, NY (wd:Q7208887): village in Herkimer County, New York, United States
10. Poland - The Warsaw Concert, also known as Poland (wd:Q599300): album by Tangerine Dream

[Tool]
Top 10 property alternatives:
1. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): area occupied by an object
2. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): specialization of a person or organization; see P106 for the occupation, interested in
3. applies to part, also known as when viewed as, valid for part, section, region, per (wd:P518 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): part, aspect, or form of the item to which the claim applies
4. applies to jurisdiction, also known as belongs to jurisdiction, applies to territorial jurisdiction, applies to region, applies to place, applies to geographic place (wd:P1001 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area
5. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
6. water area (wd:P8887 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): area/surface of a geographical entity that is covered by water, area
7. interested in, also known as area of interest, area of research, field of interest, field of research, field of study (wd:P2650 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): item of special or vested interest to this person or organisation
8. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
9. 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 prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
10. electoral district, also known as riding, seat, ward, electoral area, electorate (wd:P768 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): electoral district this person is representing, or of the office... or "office contested" (P541) or "candidacy in election" (P3602)

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?occupation ) AS ?occupationCount ) WHERE {
  wd:Q7245 wdt:P106 ?occupation .
}

Got 1 row and 1 column:
| occupationCount |
| --------------- |
| 12 (xsd:int)    |

Mark Twain (wd:Q7245) has 12 occupations.

[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 http://amur:7001

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 occupations did Mark Twain have?

[Tool]
Top 10 entity alternatives:
1. Mark Twain, also known as Samuel L. Clemens, Samuel Langhorne Clemens, Quintus Curtius Snodgrass, Samuel Clemens (wd:Q7245): American author and humorist (1835–1910), science fiction writer, opinion journalist, children's writer, autobiographer, travel writer, prose writer, journalist, humorist, novelist, aphorist, teacher, writer
2. 2362 Mark Twain, also known as Mark Twain (wd:Q959983): asteroid
3. Mark Twain (wd:Q6770075): crater on Mercury
4. Mark Twain (wd:Q6770076): 2001 documentary film on the life of Mark Twain directed by Ken Burns
5. Mark Twain (wd:Q66716403): 1873 article in Cartoon portraits and biographical sketches of men of the day
6. Mark Twain, also known as Mark Twain, St. Louis (wd:Q6770071): neighborhood of St. Louis, Missouri, United States
7. Rosa 'Mark Twain', also known as Mark Twain (wd:Q83668756): rose cultivar
8. Mark Twain (wd:Q116958637): bronze sculpture by unidentified artist
9. Mark Twain (wd:Q20174185): painting by Charles Noel Flagg
10. Mark Twain (wd:Q79493007): print by Samuel Johnson Woolf (American, 1880-1948) (1920.11)

[Tool]
Got 1 row and 1 column:
| occupationCount |
| --------------- |
| 12 (xsd:int)    |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?place ?placeLabel WHERE {
  wd:Q183883 wdt:P50 ?author .
  ?author wdt:P19 ?place .
  OPTIONAL {
    ?place rdfs:label ?placeLabel .
    FILTER ( LANG( ?placeLabel ) = "en" )
  }
}

The author of The Catcher in the Rye, J. D. Salinger (wd:Q79904), was born in New York City (wd:Q60).

[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 http://amur:7001

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] Where was the author of The Catcher in the Rye born ?

[Tool]
Top 10 entity alternatives:
1. The Catcher in the Rye, also known as Catcher in the Rye (wd:Q183883): 1951 novel by J. D. Salinger
2. Catcher in the Rye (wd:Q5051738): Chinese punk rock band
3. Catcher In the Rye (wd:Q16184712): 2011 EP by Datarock
4. Catcher in the Rye (wd:Q110065569): 2021 single by Ross Jennings
5. Catcher in the Rye (wd:Q10443835): song by Guns N' Roses
6. The Catcher in the Rye (wd:Q16689546): 2012 debut studio album by Ann
7. The Catcher in the Rye (wd:Q125291968): 2001 Back Bay edition
8. Catchers in the rye (wd:Q68693473): scientific article published on 01 January 1990
9. The Catcher in the Rye in popular culture (wd:Q7721703): Influence of J.D. Salinger's 1951 novel
10. The Catcher in the Rye in popular culture (wd:Q7721703): Influence of J.D. Salinger's 1951 novel

[Tool]
Got 1 row and 3 columns:
| subject                             | property         | object                     |
| ----------------------------------- | ---------------- | -------------------------- |
| The Catcher in the Rye (wd:Q183883) | author (wdt:P50) | J. D. Salinger (wd:Q79904) |

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
3. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as p/wdt): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
4. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as p/wdt): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
5. child, also known as has son, kids, mother of, kid, issue (wd:P40 as p/wdt): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
6. military branch, also known as unit branch, service branch, formation, branch (wd:P241 as p/wdt): branch to which this military unit, award, office, or person belongs, e.g. Royal Navy, part of
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
9. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as p/wdt): dissolved, abolished or demolished date, date on which the subject died, end time
10. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): 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

[Tool]
Got 1 row and 2 columns:
| place                  | placeLabel         |
| ---------------------- | ------------------ |
| New York City (wd:Q60) | New York City (en) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  FILTER NOT EXISTS {
    wd:Q213849 wdt:P576 ?dissolved
  }
}

No. ATI Technologies (wd:Q213849) has a recorded dissolution date (P576) of 2011-01-01 and therefore no longer exists.

[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 http://amur:7001

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] Does the ATI Company still exist?

[Tool]
Top 10 entity alternatives:
1. ATI Technologies, also known as Array Technologies Incorporated (wd:Q213849): Canadian technology corporation
2. Atipa Technologies (wd:Q67904906): American hardware manufacturer
3. technology, also known as technologies, technological sciences, technicology, tech, technological science (wd:Q11016): making, modification, usage, and knowledge of tools, machines, t... and methods of organization, or tools and techniques so created
4. Ati (wd:Q755791): city
5. Aashaadha, also known as Ashadha, Āṭi (wd:Q1105198): month in Hindu calender
6. Artigas Airport, also known as ATI, SUAG (wd:Q1430852): airport
7. Ati, also known as Ati language, Ati (Philippines) (wd:Q3217458): Malayo-Polynesian language spoken and native to the Ati people of Panay
8. The Alan Turing Institute, also known as Turing Institute, turing.ac.uk, ATI (wd:Q16826821): research institute in Britain
9. Boneh-ye Ati, also known as Boneh-ye ‘Āţī, ‘Āţī (wd:Q4941616): village in Iran
10. Allegheny Technologies, also known as Allegheny Technologies Incorporated, ATI, ATI Metals (wd:Q1361648): company

[Tool]
Top 10 property alternatives:
1. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as p/wdt): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
2. total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as p/wdt): income gained by an organization during a given time frame. Not to be confused with fiscal revenue
3. replaced by, also known as heir, superseded by, successor, succeeded by, next job holder (wd:P1366 as p/wdt): other person or item which continues the item by replacing it in... nor identical, but adds to the series (e.g. books in a series)., followed by
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as p/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
5. parent organization, also known as parent company, parent institution, parent organisation, parent unit, part of (wd:P749 as p/wdt): parent organization of an organization, opposite of subsidiaries (P355), owned by, part of
6. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as p/wdt): item that is different from another item, with which it may be confused
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. product, material, or service produced or provided, also known as products, product or service provided, product, material, or service produced or provided, product, output (wd:P1056 as p/wdt): material or product produced or sold by an organization, industry, facility, or process, material or product produced by an organization, industry, facility, or process, immediate cause of

No other items found

[Tool]
Got 1 row and 1 column:
| dissolved                           |
| ----------------------------------- |
| 2011-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process