PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?openingDate WHERE {
  wd:Q693956 wdt:P1619 ?openingDate .
}

The Hamburg S-Bahn was officially opened on 1 January 1906.

[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] When was the Hamburg S-Bahn officially opened?

[Tool]
Top 10 entity alternatives:
1. Hamburg S-Bahn (wd:Q693956): metro railway in Hamburg, Germany
2. Hamburg City S-Bahn, also known as City-S-Bahn, City-Tunnel (wd:Q321980): railway tunnel
3. S-Bahnhof Hamburg-Altona station, also known as Altona (S-Bahn), Hamburg-Altona(S), Hamburg-Altona (S-Bahn) (wd:Q70585725): railway station in Germany
4. S-Bahn Hamburg GmbH (wd:Q99869216): German railway company operating the Hamburg S-Bahn
5. Hamburg Airport S-Bahn line (wd:Q1430696): railway line in Germany
6. Train Simulator: Hamburg S1 S-Bahn Route Add-On (wd:Q108105621): Train Simulator DLC
7. Hamburg, also known as Free and Hanseatic City of Hamburg, Hamburg, Germany, Hamburg, Freie und Hansestadt (wd:Q1055): city and state in the North of Germany
8. Hamburger SV, also known as Hamburg SV, HSV, H.S.V., Hamburg Sport Club, HamburgerSV (wd:Q51974): German sports club based in Hamburg, with its largest branch being its football department
9. Hamburg, also known as Hamburg, IA, Hamburg, Iowa (wd:Q998718): city in Fremont County, Iowa, United States
10. Hamburg, also known as Hamburg, AR, Hamburg, Arkansas (wd:Q79657): city in Ashley County, Arkansas, United States

[Tool]
Got 1 row and 3 columns:
| subject                     | property             | object                              |
| --------------------------- | -------------------- | ----------------------------------- |
| Hamburg S-Bahn (wd:Q693956) | inception (wdt:P571) | 1907-01-01T00:00:00Z (xsd:dateTime) |

[Tool]
Top 10 property alternatives:
1. date of official opening, also known as launch date, launched, officially opened on, official opening, official opening time (wd:P1619 as p/wdt): date or point in time a place, organization, or event officially opened, start time, inception
2. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as p/wdt): person, profession, organization or entity that operates the equipment, facility, or service, used by
3. 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
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. detail map, also known as map (wd:P1621 as p/wdt): map containing details about the entire location, locator map image
6. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
7. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
8. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
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 p/wdt): 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. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                     | property                             | object                              |
| --------------------------- | ------------------------------------ | ----------------------------------- |
| Hamburg S-Bahn (wd:Q693956) | date of official opening (wdt:P1619) | 1906-01-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q143276 wdt:P272 ?company .
  FILTER NOT EXISTS {
    ?company wdt:P576 ?dissolutionDate
  }
}

No. The ASK query returns false, indicating the production company (Manglobe) has a dissolution date and is no longer existing.

[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 production company of samurai champloo still existing?

[Tool]
Top 10 entity alternatives:
1. Samurai Champloo (wd:Q143276): Japanese anime television series
2. Samurai Champloo (wd:Q66138325): Japanese manga series
3. Samurai Champloo: Sidetracked, also known as Samurai Champloo HIPHOP Samurai Action (wd:Q3548610): 2006 video game
4. Samurai Champloo soundtrack releases, also known as Music of Samurai Champloo (wd:Q106856784): Wikipedia article covering multiple soundtrack releases
5. Samurai Champloo Music Record: Departure, also known as Departure (wd:Q7413091): 2004 soundtrack album by Nujabes / Fat Jon
6. Samurai Champloo Music Record: Impression, also known as Impression (wd:Q3149468): 2004 soundtrack album by Force of Nature / Nujabes / Fat Jon
7. Samurai Champloo Music Record: Masta, also known as Masta (wd:Q104829750): 2004 soundtrack album by FORCE OF NATURE / tsutchie
8. Samurai Champloo Music Record: Playlist (wd:Q104829743): 2004 soundtrack album by tsutchie
9. Postmodern Is Old Hat: Samurai Champloo (wd:Q56608596): article
10. samurai, also known as buke, bushi (wd:Q38142): military nobility of pre-industrial Japan

[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]
Top 10 property alternatives:
1. production company, also known as broadcasting company, theatrical troupe, theatre company, theater company, studio (wd:P272 as p/wdt): company that produced this film, audio or performing arts work
2. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as p/wdt): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
3. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as p/wdt): method (or type) of distribution for the subject
4. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
5. distributed by, also known as distributor (wd:P750 as p/wdt): distributor of a creative work; distributor for a record label; news agency; film distributor
6. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as p/wdt): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
7. derivative work, also known as is source work of, is adapted as, is the basis for, iteration, reboot (wd:P4969 as p/wdt): new work of art (film, book, software, etc.) derived from major part of this work
8. 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
9. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as p/wdt): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic
10. screenwriter, also known as story by, teleplay by, video game writer, writer (of screenplays), writing credits (wd:P58 as p/wdt): person(s) who wrote the script for subject item, film crew member, author

No other items found

[Tool]
Got 1 row and 1 column:
| company               |
| --------------------- |
| Manglobe (wd:Q645476) |

[Tool]
Got 1 row and 1 column:
| dissolutionDate                     |
| ----------------------------------- |
| 2015-09-30T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?invasion ) AS ?times ) WHERE {
  wd:Q208156 wdt:P527 ?invasion .
}

Got 1 row and 1 column:
| times       |
| ----------- |
| 2 (xsd:int) |

The Mongols attempted to invade Japan twice.

[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 often did the Mongols try to invade Japan?

[Tool]
Top 10 entity alternatives:
1. Mongol invasions of Japan, also known as Attempted Mongol Invasions, 1274-1281, Japan--History--Attempted Mongol Invasions, 1274-1281 (wd:Q208156): attempts by the Mongol Empire to conquer Japan
2. First Mongol invasion of Hungary (wd:Q4301654)
3. First Mongol invasion of Burma (wd:Q531916): 1277 historical conquest
4. first Japanese invasion of Korea, also known as Battle of Bunroku, Bunroku campaign, Imjin War (wd:Q122846639): 1592-1593 invasion of Joseon by Japan Toyotomi government
5. Ghenkō: The Mongol invasion of Japan (wd:Q131292625): book published in 1916
6. Mōko Shūrai Ekotoba, also known as Illustrated Account of the Mongol invasion of Japan, The Mongol Scroll, Mongol Scroll, Illustrated Scrolls of the Mongol Invasions (wd:Q3087790): Illustrated Account of the Mongol Invasion
7. Operation Downfall, also known as invasion of Japan, Allied invasion of Japan (wd:Q300879): codename for the Allied plan for the invasion of Japan near the end of World War II
8. Mongol invasion of Europe (wd:Q852171): 13th century conquests by the Mongol Empire
9. Mongol invasion of Java (wd:Q2672432): 13th-century military campaign
10. Mongol invasion of Poland (wd:Q2667645): Military campaign, 1240 to 1241

[Tool]
Got 294 rows and 3 columns, showing the first 10 rows below:
| subject                                | property                                                    | object                                                                                |
| -------------------------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------ |
| Mongol invasions of Japan (wd:Q208156) | instance of (wdt:P31)                                       | conflict (wd:Q180684)                                                                                |
| Mongol invasions of Japan (wd:Q208156) | country (wdt:P17)                                           | Japan (wd:Q17)                                                                                |
| Mongol invasions of Japan (wd:Q208156) | located in the administrative territorial entity (wdt:P131) | Saikaidō (wd:Q1334003)                                                                                |
| Mongol invasions of Japan (wd:Q208156) | Commons category (wdt:P373)                                 | Mongol invasions of Japan                                                                                |
| Mongol invasions of Japan (wd:Q208156) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Japan%20in%20Marco%20Polo%27s%20travel%20record%20%282%29.JPG> |
| Mongol invasions of Japan (wd:Q208156) | part of (wdt:P361)                                          | Mongol invasions and conquests (wd:Q2092093)                                                                       |
| Mongol invasions of Japan (wd:Q208156) | location (wdt:P276)                                         | Northern Kyushu (wd:Q397703)                                                                                |
| Mongol invasions of Japan (wd:Q208156) | has part(s) (wdt:P527)                                      | Battle of Kōan (wd:Q2237622)                                                                                |
| Mongol invasions of Japan (wd:Q208156) | point in time (wdt:P585)                                    | 1274-01-01T00:00:00Z (xsd:dateTime)                                                                                |
| Mongol invasions of Japan (wd:Q208156) | participant (wdt:P710)                                      | Yuan dynasty (wd:Q7313)                                                                                |
| ...                                    | ...                                                         | ...                                                                                |

[Tool]
Top 10 entity alternatives:
1. Mongol invasions of Japan, also known as Attempted Mongol Invasions, 1274-1281, Japan--History--Attempted Mongol Invasions, 1274-1281 (wd:Q208156): attempts by the Mongol Empire to conquer Japan
2. First Mongol invasion of Hungary (wd:Q4301654)
3. First Mongol invasion of Burma (wd:Q531916): 1277 historical conquest
4. first Japanese invasion of Korea, also known as Battle of Bunroku, Bunroku campaign, Imjin War (wd:Q122846639): 1592-1593 invasion of Joseon by Japan Toyotomi government
5. Ghenkō: The Mongol invasion of Japan (wd:Q131292625): book published in 1916
6. Mōko Shūrai Ekotoba, also known as Illustrated Account of the Mongol invasion of Japan, The Mongol Scroll, Mongol Scroll, Illustrated Scrolls of the Mongol Invasions (wd:Q3087790): Illustrated Account of the Mongol Invasion
7. First Invasion (wd:Q5453123): extended play
8. Operation Downfall, also known as invasion of Japan, Allied invasion of Japan (wd:Q300879): codename for the Allied plan for the invasion of Japan near the end of World War II
9. Japan First Party (wd:Q38668310): political party
10. Orange's First Invasion (wd:Q2282324): 1568 military campaign

[Tool]
Top 10 entity alternatives:
1. Mongol invasions of Japan, also known as Attempted Mongol Invasions, 1274-1281, Japan--History--Attempted Mongol Invasions, 1274-1281 (wd:Q208156): attempts by the Mongol Empire to conquer Japan
2. Second Mongol invasion of Poland (wd:Q11710528): 1259–60 military campaign
3. Second Mongol invasion of Hungary (wd:Q16933809): 1285–6 military campaign
4. Second Mongol invasion of Burma (wd:Q16933803): Mongol Invasion in the early 14th century
5. second Japanese invasion of Korea, also known as Keichō War, Keichō campaign, Chongyu War, Battle of Keichō, Jeongyu War (wd:Q20443986): invasion of the Korean Peninsula by the Japanese Toyotomi Government between 1597 and 1598
6. Ghenkō: The Mongol invasion of Japan (wd:Q131292625): book published in 1916
7. Mōko Shūrai Ekotoba, also known as Illustrated Account of the Mongol invasion of Japan, The Mongol Scroll, Mongol Scroll, Illustrated Scrolls of the Mongol Invasions (wd:Q3087790): Illustrated Account of the Mongol Invasion
8. Operation Downfall, also known as invasion of Japan, Allied invasion of Japan (wd:Q300879): codename for the Allied plan for the invasion of Japan near the end of World War II
9. Mongol invasion of Europe (wd:Q852171): 13th century conquests by the Mongol Empire
10. Mongol invasion of Java (wd:Q2672432): 13th-century military campaign

[Tool]
Got 2 rows and 1 column:
| part                           |
| ------------------------------ |
| Battle of Bun'ei (wd:Q2237386) |
| Battle of Kōan (wd:Q2237622)   |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?war ) AS ?warsCount ) WHERE {
  wd:Q188712 wdt:P1344 ?war .
  ?war wdt:P31 / wdt:P279 * wd:Q198 .
}

Got 1 row and 1 column:
| warsCount   |
| ----------- |
| 4 (xsd:int) |

The Empire of Japan participated in 4 wars.

[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 wars did the Empire of Japan participate in?

[Tool]
Top 10 entity alternatives:
1. Empire of Japan, also known as Great Japanese Empire, Great Empire of Japan, Japanese Empire, Imperial Japan, Japan (wd:Q188712): Empire in the Asia-Pacific region from 1868 to 1947
2. The Imperial Japanese Empire, also known as Japanese Empire, The Empire of Japan, Imperial Japanese Empire, Imperial Japan, Empire of Japan (wd:Q11435655): 1982 film directed by Toshio Masuda
3. Empire of Japan (wd:Q5374199): internal politics of the Empire of Japan
4. education in the Empire of Japan, also known as education of the Empire of Japan, Empire of Japan education (wd:Q3509524): overview of the education system in the Empire of Japan
5. Empire of Japan borders (wd:Q87763038)
6. Constitution of the Empire of Japan, also known as Meiji Constitution (wd:Q122804): constitution of Japan from 1889 to 1947
7. Empire of Japan–Russian Empire relations (wd:Q16835196): bilateral diplomatic relations
8. demographics of the Empire of Japan, also known as demography of Imperial Japan (wd:Q5256018): Japan's demographics (1868 – 1945)
9. economy of the Empire of Japan (wd:Q5374198): economy of the country
10. Map of the Empire of Japan (wd:Q100273566): 1878 map of Japan

[Tool]
Top 10 entity alternatives:
1. war, also known as hostilities, military conflict, wars (wd:Q198): organized and prolonged violent conflict between states
2. Waray, also known as Lineyte-Samarnon, war, Waray language, Waray (Philippines), Waray-Waray (wd:Q34279): Visayan language primarily spoken in the islands of Samar and Eastern Leyte
3. Axl Rose, also known as William Axl Rose, William Bruce Bailey, William "Bill" Bailey, W. Axl Rose, William Rose (wd:Q11885): singer-songwriter, American singer, vocalist, musician, activist, pianist
4. War (wd:Q331811): 1983 studio album by U2
5. War, also known as Rogue, Rogue Assassin (wd:Q375512): 2007 film directed by Philip Atwell
6. War, also known as War, West Virginia, War, WV (wd:Q2058013): city in West Virginia, United States
7. A War, also known as Krigen, War (wd:Q19590783): 2015 film by Tobias Lindholm
8. War (wd:Q64390886): 2019 film directed by Siddharth Anand
9. The War, also known as War (wd:Q1167231): 1994 film by Jon Avnet
10. War, also known as The War (wd:Q866673): 2002 film by Aleksei Balabanov

[Tool]
Top 10 property alternatives:
1. participant, also known as suspect, player, party, participants, has participant (wd:P710 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
2. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): event in which a person or organization was/is a participant; inverse of P710 or P1923, significant event, part of
3. number of participants, also known as number of competitors, number of teams, participant count, participants, qty participants (wd:P1132 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of participants of an event, e.g. people or groups of people that take part in the event (NO units), quantity
4. recorded participant, also known as on-screen participant, onscreen participant, participant recorded (wd:P11108 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): agent taking an active role as a participant in a nonfiction moving image or other recorded work, participant
5. debut participant, also known as debut country, first-time participant, first appearance for (wd:P2318 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): participant for whom this is their debut appearance in a series of events
6. object of occurrence, also known as action applies to item, undergoer, target of action, target, patient (wd:P12912 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): specific object to which an occurrence or class of occurrences applies
7. 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
8. partner in business or sport, also known as professional partner, sport partner, sports partner, team mate, team-mate (wd:P1327 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): professional collaborator, significant person
9. contributor to the creative work or subject, also known as assistant, collaborator, contributor, contributor(s) to the subject, creative contributor (wd:P767 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): person or organization that contributed to a subject: co-creator of a creative work or subject, participant
10. host, also known as host taxon (wd:P2975 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): an organism harboring another organism or organisms on or in itself

[Tool]
Got 4 rows and 1 column:
| event                                 |
| ------------------------------------- |
| Russo-Japanese War (wd:Q159950)       |
| Second Sino-Japanese War (wd:Q170314) |
| First Sino-Japanese War (wd:Q178687)  |
| Pacific War (wd:Q184425)              |

[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 DISTINCT ?disease ?diseaseLabel WHERE {
  ?disease wdt:P31 wd:Q12136 .
  ?disease wdt:P828 wd:Q662860 .
  OPTIONAL {
    ?disease rdfs:label ?diseaseLabel .
    FILTER ( LANG( ?diseaseLabel ) = "en" )
  }
}

The diseases that can be caused by smoking include:
- Pneumonia (Q12192)
- Lung cancer (Q47912)
- Chronic obstructive pulmonary disease (Q199804)
- Pulmonary emphysema (Q188605)
- Periodontitis (Q520127)
- Smoking-related lung disease (Q98608770)

[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] Which diseases can be caused by smoking ?

[Tool]
Top 10 entity alternatives:
1. smoking, also known as smoke (wd:Q662860): breathing in smoke after burning a substance and inhaling, done in order to be tasted and absorbed into the bloodstream
2. smoking, also known as food smoking (wd:Q193713): exposing food to the smoke to flavour or preserve it
3. Smoking/No Smoking, also known as Smoking / No Smoking (wd:Q674929): 1993 film by Alain Resnais
4. Smoking (wd:Q7546026): brand of rolling papers
5. 🚬, also known as cigarette emoji, smoking emoji, SMOKING SYMBOL, U+1F6AC (wd:Q87581997): Unicode character which may be used to communicate 'cigarette'
6. Smoking (wd:Q55525268)
7. pottery smoking, also known as Smoking (wd:Q123929966): ceramic finishing technique for waterproofing, involving firing plant elements to enhance impermeability
8. [Smoking--passive smoking] (wd:Q69790331): scientific article published on 01 January 1985
9. Smoking (wd:Q68339472): scientific article published on 01 February 1988
10. Smoking (wd:Q75942855): scientific article published on 01 December 1951

[Tool]
Top 10 property alternatives:
1. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as p/wdt): underlying cause, entity that ultimately resulted in this effect, follows
2. has effect, also known as has symptom, implies, leads to, led to, outcome (wd:P1542 as p/wdt): effect of this item, followed by
3. 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
4. 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
5. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as p/wdt): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
6. 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)
7. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as p/wdt): object that partially overlaps with the subject in its instances, parts, or members, different from
8. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as p/wdt): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
9. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
10. 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

No other items found

[Tool]
Top 10 entity alternatives:
1. tobacco smoking (wd:Q7212330): practice of burning tobacco and inhaling the resulting smoke
2. Tobacco smoking (wd:Q40198117): scientific article published on June 2014
3. Tobacco smoking (wd:Q68731465): scientific article published on 01 January 1986
4. TOBACCO smoking (wd:Q73965781): scientific article published on 01 July 1952
5. Tobacco Smoking (wd:Q83397344): scientific article published on February 12, 2011
6. Tobacco smoking (wd:Q82516021): scientific article published on 01 January 2004
7. Tobacco smoking (wd:Q80514602): scientific article published on 01 January 2002
8. Tobacco smoking (wd:Q71790804): scientific article published on 01 May 1996
9. Tobacco smoking (wd:Q71478084): scientific article published on 01 April 1980
10. Tobacco smoking (wd:Q70639276): scientific article published on 01 February 1993

[Tool]
Top 10 property alternatives:
1. 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
2. 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 p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
3. significant event, also known as significant occurrence, significant incident, significant achievment, sign. event, outcome (wd:P793 as p/wdt): significant or notable events associated with the subject
4. replaces, also known as supersedes, succeeds, replaced, previous job holder, preceded by (wd:P1365 as p/wdt): person, state or item replaced. Use "structure replaces" (P1398)...item was not replaced or predecessor and successor are identical, follows
5. 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
6. 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
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. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
9. part of, also known as of, within, system of, subsystem of, subgroup of (wd:P361 as p/wdt): object of which the subject is a part (if this subject is alread... of "has part" (P527, see also "has parts of the class" (P2670))
10. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as p/wdt): (list of) direct subdivisions of an administrative territorial entity, has part(s)

No other items found

[Tool]
Failed to call function execute:
failed to parse input: no matching token found from position 107: 'hint {} OPTIONAL { ?disease rdfs:label ?diseaseLabel FILTER(LANG(?diseaseLabel) = "en") } }'

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. disease, also known as ailments, sickness, other disease, medical disorder, MedicalCondition (wd:Q12136): abnormal condition negatively affecting organisms
2. infectious bursal disease, also known as disease, infectious bursitis, IBD, infectious avian nephrosis (wd:Q119150394): viral disease
3. Disease (wd:Q130601340): 2024 single by Lady Gaga
4. illness, also known as disease, sickness (wd:Q814207): the state of being unwell
5. medical state, also known as disease, health condition, health status, medical condition, medical status (wd:Q6806605): one's current state of health, usually within a hospital
6. Disease (wd:Q57243972): Beartooth album
7. Disease (wd:Q5282114): album by G G F H
8. Disease (wd:Q60838658)
9. Disease (wd:Q10474229): The Ark's song
10. Disease (wd:Q12530894)

[Tool] Got no rows and 2 columns

[Tool]
Got 8 rows and 3 columns:
| subject                       | property               | object                                             |
| ----------------------------- | ---------------------- | -------------------------------------------------- |
| tobacco smoking (wd:Q7212330) | has effect (wdt:P1542) | tuberculosis (wd:Q12204)                           |
| tobacco smoking (wd:Q7212330) | has effect (wdt:P1542) | pneumonia (wd:Q12192)                              |
| tobacco smoking (wd:Q7212330) | has effect (wdt:P1542) | myocardial infarction (wd:Q12152)                  |
| tobacco smoking (wd:Q7212330) | has effect (wdt:P1542) | lung cancer (wd:Q47912)                            |
| tobacco smoking (wd:Q7212330) | has effect (wdt:P1542) | chronic obstructive pulmonary disease (wd:Q199804) |
| tobacco smoking (wd:Q7212330) | has effect (wdt:P1542) | Crohn's disease (wd:Q1472)                         |
| tobacco smoking (wd:Q7212330) | has effect (wdt:P1542) | pulmonary emphysema (wd:Q188605)                   |
| tobacco smoking (wd:Q7212330) | has effect (wdt:P1542) | tobacco use disorder (wd:Q152100)                  |

[Tool]
Got 6 rows and 3 columns:
| subject                 | property             | object                        |
| ----------------------- | -------------------- | ----------------------------- |
| lung cancer (wd:Q47912) | has cause (wdt:P828) | radon (wd:Q1133)              |
| lung cancer (wd:Q47912) | has cause (wdt:P828) | air pollution (wd:Q131123)    |
| lung cancer (wd:Q47912) | has cause (wdt:P828) | tobacco smoking (wd:Q7212330) |
| lung cancer (wd:Q47912) | has cause (wdt:P828) | smoking (wd:Q662860)          |
| lung cancer (wd:Q47912) | has cause (wdt:P828) | passive smoking (wd:Q259516)  |
| lung cancer (wd:Q47912) | has cause (wdt:P828) | asbestosis (wd:Q664174)       |

[Tool]
Got 3 rows and 3 columns:
| subject                    | property              | object                                             |
| -------------------------- | --------------------- | -------------------------------------------------- |
| Crohn's disease (wd:Q1472) | instance of (wdt:P31) | rare disease (wd:Q929833)                          |
| Crohn's disease (wd:Q1472) | instance of (wdt:P31) | class of disease (wd:Q112193867)                   |
| Crohn's disease (wd:Q1472) | instance of (wdt:P31) | designated intractable/rare disease (wd:Q42303753) |

[Tool]
Got 1 row and 2 columns:
| disease                                     | diseaseLabel                      |
| ------------------------------------------- | --------------------------------- |
| smoking-related lung disease (wd:Q98608770) | smoking-related lung disease (en) |

[Tool]
Got 7 rows and 3 columns:
| subject              | property               | object                                             |
| -------------------- | ---------------------- | -------------------------------------------------- |
| smoking (wd:Q662860) | has effect (wdt:P1542) | tuberculosis (wd:Q12204)                           |
| smoking (wd:Q662860) | has effect (wdt:P1542) | pneumonia (wd:Q12192)                              |
| smoking (wd:Q662860) | has effect (wdt:P1542) | myocardial infarction (wd:Q12152)                  |
| smoking (wd:Q662860) | has effect (wdt:P1542) | lung cancer (wd:Q47912)                            |
| smoking (wd:Q662860) | has effect (wdt:P1542) | chronic obstructive pulmonary disease (wd:Q199804) |
| smoking (wd:Q662860) | has effect (wdt:P1542) | Crohn's disease (wd:Q1472)                         |
| smoking (wd:Q662860) | has effect (wdt:P1542) | pulmonary emphysema (wd:Q188605)                   |

[Tool] Got no rows and 3 columns

[Tool]
Got 8 rows and 3 columns:
| subject                                            | property             | object               |
| -------------------------------------------------- | -------------------- | -------------------- |
| pneumonia (wd:Q12192)                              | has cause (wdt:P828) | smoking (wd:Q662860) |
| lung cancer (wd:Q47912)                            | has cause (wdt:P828) | smoking (wd:Q662860) |
| chronic obstructive pulmonary disease (wd:Q199804) | has cause (wdt:P828) | smoking (wd:Q662860) |
| pulmonary emphysema (wd:Q188605)                   | has cause (wdt:P828) | smoking (wd:Q662860) |
| periodontitis (wd:Q520127)                         | has cause (wdt:P828) | smoking (wd:Q662860) |
| tar (wd:Q3338507)                                  | has cause (wdt:P828) | smoking (wd:Q662860) |
| smoking-related lung disease (wd:Q98608770)        | has cause (wdt:P828) | smoking (wd:Q662860) |
| epigenetic effects of smoking (wd:Q55610950)       | has cause (wdt:P828) | smoking (wd:Q662860) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?date WHERE {
  ?article wdt:P31 wd:Q13442814 ; wdt:P577 ?date ; wdt:P921 wd:Q6557482 .
}
ORDER BY ?date
LIMIT 1

The first article about Liquid State Machines was published on 2007-08-01.

[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] When was the first article about Liquid State Machines published?

[Tool]
Top 10 entity alternatives:
1. liquid state machine, also known as LSM (wd:Q6557482): type of artificial neural network
2. Energy Constraints Improve Liquid State Machine Performance (wd:Q130947914): scientific article published on 28 July 2020
3. The cerebellum as a liquid state machine (wd:Q47287092): scientific article
4. Reinforcement Learning With Low-Complexity Liquid State Machines (wd:Q90049673): scientific article published on 27 August 2019
5. finite-state machine, also known as FA, finite automata, finite automaton, finite-state automaton, FSM (wd:Q176452): mathematical model of computation; abstract machine that can be in exactly one of a finite number of states at any given time
6. Liquid State (wd:Q3242295): song by English rock band Muse
7. Finite-state machine, also known as State Machine (wd:Q6035379)
8. Liquid State, also known as Liquid State Limited (wd:Q112312670): record label
9. Hardware-aware liquid state mach... 2D/3D Network-on-Chip platforms (wd:Q113863454): scientific article published in 2022
10. Effects of synaptic connectivity...liquid state machine performance (wd:Q47267043): scientific article published on November 17, 2012

[Tool]
Got 8 rows and 2 columns:
| item                                                                                | date                                |
| ----------------------------------------------------------------------------------- | ----------------------------------- |
| An Application of Spike-Timing-D...Circuit for Liquid State Machine (wd:Q57961191)  | 2007-08-01T00:00:00Z (xsd:dateTime) |
| Novel Integrated Methods of Evol... and Particle Swarm Optimisation (wd:Q112358987) | 2012-01-01T00:00:00Z (xsd:dateTime) |
| Effects of synaptic connectivity...liquid state machine performance (wd:Q47267043)  | 2012-11-17T00:00:00Z (xsd:dateTime) |
| Spatio-/spectro-temporal pattern...bilistic spiking neural networks (wd:Q112359200) | 2013-01-01T00:00:00Z (xsd:dateTime) |
| Liquid state machine with dendri...uromorphic VLSI implementations. (wd:Q47427755)  | 2014-10-27T00:00:00Z (xsd:dateTime) |
| A Digital Liquid State Machine W...pplication to Speech Recognition (wd:Q40254259)  | 2015-01-27T00:00:00Z (xsd:dateTime) |
| Anytime multipurpose emotion rec...d State Machine based framework. (wd:Q47842029)  | 2018-02-01T00:00:00Z (xsd:dateTime) |
| Information-Theoretic Intrinsic ...rning in Spiking Neural Networks (wd:Q64236848)  | 2019-01-01T00:00:00Z (xsd:dateTime) |

[Tool]
Got 1 row and 3 columns:
| subject                                                                            | property              | object                           |
| ---------------------------------------------------------------------------------- | --------------------- | -------------------------------- |
| An Application of Spike-Timing-D...Circuit for Liquid State Machine (wd:Q57961191) | instance of (wdt:P31) | scholarly article (wd:Q13442814) |

[Tool]
Got 1 row and 2 columns:
| item                                                                               | date                                |
| ---------------------------------------------------------------------------------- | ----------------------------------- |
| An Application of Spike-Timing-D...Circuit for Liquid State Machine (wd:Q57961191) | 2007-08-01T00:00:00Z (xsd:dateTime) |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?seats WHERE {
  wd:Q154797 wdt:P1342 ?seats .
}

There are 733 seats in the current German Bundestag.

[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 seats are there in the current German Bundestag ?

[Tool]
Top 10 entity alternatives:
1. German Bundestag, also known as Bundestag of Germany, German parliament (wd:Q154797): legislature of Germany; parliament
2. 21st German Bundestag, also known as Twenty-first German Bundestag (wd:Q124661964): legislative term from 2025 to 2029 (expected)
3. 20th German Bundestag, also known as Twentieth German Bundestag (wd:Q33091469): legislative term from 2021 to 2025
4. 1st German Bundestag, also known as First German Bundestag (wd:Q30542687): legislative term from 1949 to 1953
5. 2nd German Bundestag, also known as Second German Bundestag (wd:Q30542689): legislative term from 1953 to 1957
6. 19th German Bundestag, also known as Nineteenth German Bundestag (wd:Q30579723): legislative term from 2017 to 2021
7. 18th German Bundestag, also known as Eighteenth German Bundestag (wd:Q15081430): legislative term from 2013 to 2017
8. 10th German Bundestag, also known as Tenth German Bundestag (wd:Q30542755): legislative term from 1983 to 1987
9. 17th German Bundestag, also known as Seventeenth German Bundestag (wd:Q30542764): legislative term from 2009 to 2013
10. 16th German Bundestag, also known as Sixteenth German Bundestag (wd:Q30542763): legislative term from 2005 to 2009

[Tool]
Top 10 property alternatives:
1. number of seats, also known as membership quantity, number of seats (members), quantity of members, seats (members) (wd:P1342 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): total number of seats/members in an assembly (legislative house or similar)
2. number of seats in assembly, also known as number of delegates, number of representatives, number of seats, seats (wd:P1410 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of seats a political party, faction, or group has in a given assembly
3. maximum capacity, also known as capacity, complement, crew, number of seats, seating capacity (wd:P1083 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of people allowed for a venue or vehicle
4. number of constituencies, also known as num_constituencies (wd:P4253 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of constituencies related to a legislative body
5. 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)
6. capital, also known as administrative seat, seat of government, seat, principal place, location of capital (wd:P36 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): seat of government of a country, province, state or other type of administrative territorial entity
7. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
8. member count, also known as total members, number of members, count of members, amount of members, membership (wd:P2124 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of entities that are part of an organization at a particular time
9. position held, also known as function, held position, holds position, job, office held (wd:P39 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): subject currently or formerly holds the object position or public office
10. candidate number, also known as candidate ID, election candidate number, ID of candidate, number of candidate (wd:P4243 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of the candidate in an election

[Tool]
Got 1 row and 1 column:
| seats             |
| ----------------- |
| 733 (xsd:decimal) |

[Tool]
Got 1 row and 1 column:
| seats             |
| ----------------- |
| 733 (xsd:decimal) |

[Tool] Stopped generation process


PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
ASK {
  {
    SELECT ?pop2010 WHERE {
      wd:Q183 p:P1082 ?stmt2010 .
      ?stmt2010 ps:P1082 ?pop2010 ; pq:P585 ?date2010 .
      FILTER ( YEAR( ?date2010 ) = 2010 )
    }
    LIMIT 1
  }
  {
    SELECT ?popLatest WHERE {
      wd:Q183 p:P1082 ?stmtLatest .
      ?stmtLatest ps:P1082 ?popLatest ; pq:P585 ?dateLatest .
    }
    ORDER BY DESC ( ?dateLatest )
    LIMIT 1
  }
  FILTER ( ( ?popLatest - ?pop2010 ) / ?pop2010 >= 0.01 )
}

The query returns true if Germany’s population in the most recent available data has grown by at least 1% compared to its population in 2010.

[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] Did Germany have a population growth of at least 1% since 2010?

[Tool]
Top 10 property alternatives:
1. tabular population, also known as population (wd:P4179 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): same as population (P1082); used when there is data for many different points in time
2. population, also known as inhabitants, human population (wd:P1082 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of people inhabiting the place; number of people of subject
3. has census, also known as has human population census (wd:P8701 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): general population census of the country or region
4. urban population (wd:P6343 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of people living within the territorial entity who live in its urban parts, population
5. birth rate (wd:P8763 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): the total number of live births per 1,000 population
6. category populated by, also known as category filled by, category has template, cat populated by, component adding into the category, populated by (wd:P4329 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): software component (template, module, extension, MediaWiki core) populating the category
7. rural population (wd:P6344 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of people living within the territorial entity who live in its rural parts, population
8. female population (wd:P1539 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of female people inhabiting the place; number of female people of subject, population
9. male population, also known as male inhabitants, number of males (wd:P1540 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of male people inhabiting the place; number of male people of subject, population
10. number of households, also known as dwellings, households (wd:P1538 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): total number of households in this place, includes dwellings of all types

[Tool]
Got 50 rows and 3 columns, showing the first 10 rows below:
| subject           | property             | object                                      |
| ----------------- | -------------------- | ------------------------------------------- |
| Germany (wd:Q183) | population (p:P1082) | s:Q183-01a71cd2-4829-bb4d-a453-e55151ab016a |
| Germany (wd:Q183) | population (p:P1082) | s:Q183-0951cc4e-43f0-a15a-7635-dd36e8f57f65 |
| Germany (wd:Q183) | population (p:P1082) | s:Q183-09ae7f11-481a-8e24-b7eb-470bee80d342 |
| Germany (wd:Q183) | population (p:P1082) | s:Q183-09e61e34-4083-a417-1433-7c603b95e738 |
| Germany (wd:Q183) | population (p:P1082) | s:Q183-0a770b9f-44e2-1116-1d0d-8478fd0b8d2d |
| Germany (wd:Q183) | population (p:P1082) | s:Q183-0f96c6b8-4180-d803-282f-15e438bbbd66 |
| Germany (wd:Q183) | population (p:P1082) | s:Q183-13562147-451c-2575-c022-fc24bb1b37d4 |
| Germany (wd:Q183) | population (p:P1082) | s:Q183-19bf2b0c-4e49-2acb-519b-93922bfe2d77 |
| Germany (wd:Q183) | population (p:P1082) | s:Q183-23af582d-43b2-2d04-7ffe-7f8692ca71e1 |
| Germany (wd:Q183) | population (p:P1082) | s:Q183-2591593a-453b-d37c-8ddf-ad3ab5612473 |
| ...               | ...                  | ...                                         |

[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 ?archipelago ?archipelagoLabel ( COUNT( ?island ) AS ?count ) WHERE {
  VALUES ?archipelago {
    wd:Q38095 wd:Q192626
  }
  ?archipelago wdt:P527 ?island .
  OPTIONAL {
    ?archipelago rdfs:label ?archipelagoLabel FILTER ( LANG( ?archipelagoLabel ) = "en" )
  }
}
GROUP BY ?archipelago ?archipelagoLabel
ORDER BY DESC ( ?count )
LIMIT 1

The Galápagos Islands archipelago has more islands than the Hawaiian Islands.

[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] Which archipelago has more islands: the Galápagos Islands or the Hawaiian Islands ?

[Tool]
Top 10 entity alternatives:
1. Galapagos Islands, also known as Galápagoses, Galápagos Islands, Gallapagos, Gallapagos I., Gallapagos Isl. (wd:Q38095): Archipelago in the Pacific Ocean, part of Ecuador since 1832
2. Galápagos Islands (wd:Q117188122): UNESCO world heritage site in Ecuador
3. Galapagos Islands Expedition, also known as Astor Expedition 1930 (wd:Q132930746): research expedition to the Galapagos Islands 1930
4. Sos Galapagos Islands (wd:Q123373272): 1967 film produced by Paul de Roubaix
5. the Galápagos Islands (wd:L20019-S1)
6. Galápagos Islands xeric scrub, also known as Galápagos Islands scrubland mosaic (wd:Q108049514): terrestrial ecoregion in the Galápagos Islands
7. flora of the Galápagos Islands, also known as flora in the Galápagos Islands, the Galápagos Islands plants, the Galápagos Islands flora, plants of the Galápagos Islands, plants in the Galápagos Islands (wd:Q3073880)
8. Galapagos Biosphere Reserve, also known as Galapagos Islands Biosphere Reserve (wd:Q110564497): UNESCO biosphere reserve in Ecuador
9. Atlas of the Galápagos Islands (wd:Q109285182)
10. Galápagos Islands Xeric Scrub Ecoregion (wd:Q124391072): One Earth Ecoregion

[Tool]
Top 10 property alternatives:
1. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
2. number of branches, also known as branches, store count, shop count, number of supermakerts, number of shops (wd:P8368 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of branches or stores affiliated with a chain, brand or company
3. is a number of, also known as a number of, the number of, quantifies, number of, is the number of (wd:P11279 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): this entity is a number representing the quantity of this item
4. number of housing units, also known as dwelling-places, housing units, number of dwelling-places (wd:P10814 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of housing units (dwellings) in a specific place (such as city, county, state, country etc.)
5. number of records, also known as entries, rows, records, quantitiy of records, number of rows (wd:P4876 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of values of an identifier or records in a catalog
6. number of houses (wd:P4080 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of houses in given territorial entity
7. collection or exhibition size, also known as size of collection, size of exhibition, number of records, exhibition size, number of objects (wd:P1436 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of items in a collection or exhibition
8. island code of Indonesia, also known as Indonesian island code (wd:P11163 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identification code for islands of the Republic of Indonesia
9. number of points/goals/set scored, also known as goals scored, score for, points scored, number of points, number of goals (wd:P1351 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): goals / points scored in a match or an event used as qualifier to the participant. Use P1358 for league points.
10. Indonesian Small Islands Directory ID, also known as Direktori Pulau-Pulau Kecil Indonesia ID, DPKI, DPKI ID, PPK-KKP (wd:P4227 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier for DPKI directory of small islands by the Indonesian government

[Tool]
Top 10 entity alternatives:
1. Hawaiian Islands, also known as Mokupuni o Hawai‘i, Sandwich Islands (wd:Q192626): archipelago in the Pacific Ocean
2. Northwestern Hawaiian Islands, also known as Northwest Islands, Northwest Hawaiian Islands, Leeward Hawaiian Islands, Leeward Islands (wd:Q183110): small islands and atolls in the Hawaiian archipelago
3. Hawaiian Islands Invitational (wd:Q5684547): football tournament
4. Hawaiian Islands Ministries (wd:Q54857710): American nonprofit organization
5. 2012 Hawaiian Islands Invitational (wd:Q4625747): international football competition
6. Hawaiian Islands Biosphere Reserve (wd:Q5684536)
7. Hawaiian Islands Land Trust, also known as Hawai'i Land Trust (wd:Q16983501): American non-profit organization
8. Flora of the Hawaiian Islands, also known as Flora of Hawaiian Islands (wd:Q123660347): website on the flora of Hawaii
9. Leprosy in Hawaiian Islands (wd:Q93585900)
10. Newlands Resolution, also known as annexation of Hawaii, annexation of the Hawaiian Islands (wd:Q2341456): resolution for U.S. annexation of Hawaii, 1898

[Tool]
Top 10 property alternatives:
1. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
2. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): body of water on or next to which a place is located, location
3. day in year for periodic occurrence, also known as date, day, day in year, day of periodic occurrence, day of year (wd:P837 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): when a specific holiday or periodic event occurs. Can be used as property or qualifier
4. country, also known as sovereign state, state, land, host country (wd:P17 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
5. 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
6. island code of Indonesia, also known as Indonesian island code (wd:P11163 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identification code for islands of the Republic of Indonesia
7. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): (list of) direct subdivisions of an administrative territorial entity, has part(s)
8. Archival Resource Key, also known as ARK (wd:P8091 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): Archival Resource Key for item or image
9. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): place where a statement is valid, applies to part
10. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country

[Tool]
Top 10 property alternatives:
1. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
2. number of branches, also known as branches, store count, shop count, number of supermakerts, number of shops (wd:P8368 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of branches or stores affiliated with a chain, brand or company
3. is a number of, also known as a number of, the number of, quantifies, number of, is the number of (wd:P11279 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): this entity is a number representing the quantity of this item
4. number of housing units, also known as dwelling-places, housing units, number of dwelling-places (wd:P10814 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of housing units (dwellings) in a specific place (such as city, county, state, country etc.)
5. number of records, also known as entries, rows, records, quantitiy of records, number of rows (wd:P4876 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of values of an identifier or records in a catalog
6. number of houses (wd:P4080 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of houses in given territorial entity
7. collection or exhibition size, also known as size of collection, size of exhibition, number of records, exhibition size, number of objects (wd:P1436 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of items in a collection or exhibition
8. island code of Indonesia, also known as Indonesian island code (wd:P11163 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identification code for islands of the Republic of Indonesia
9. number of points/goals/set scored, also known as goals scored, score for, points scored, number of points, number of goals (wd:P1351 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): goals / points scored in a match or an event used as qualifier to the participant. Use P1358 for league points.
10. Indonesian Small Islands Directory ID, also known as Direktori Pulau-Pulau Kecil Indonesia ID, DPKI, DPKI ID, PPK-KKP (wd:P4227 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier for DPKI directory of small islands by the Indonesian government

[Tool]
Top 10 property alternatives:
1. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
2. number of branches, also known as branches, store count, shop count, number of supermakerts, number of shops (wd:P8368 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of branches or stores affiliated with a chain, brand or company
3. is a number of, also known as a number of, the number of, quantifies, number of, is the number of (wd:P11279 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): this entity is a number representing the quantity of this item
4. number of housing units, also known as dwelling-places, housing units, number of dwelling-places (wd:P10814 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of housing units (dwellings) in a specific place (such as city, county, state, country etc.)
5. number of records, also known as entries, rows, records, quantitiy of records, number of rows (wd:P4876 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of values of an identifier or records in a catalog
6. number of houses (wd:P4080 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of houses in given territorial entity
7. collection or exhibition size, also known as size of collection, size of exhibition, number of records, exhibition size, number of objects (wd:P1436 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): number of items in a collection or exhibition
8. island code of Indonesia, also known as Indonesian island code (wd:P11163 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identification code for islands of the Republic of Indonesia
9. number of points/goals/set scored, also known as goals scored, score for, points scored, number of points, number of goals (wd:P1351 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): goals / points scored in a match or an event used as qualifier to the participant. Use P1358 for league points.
10. Indonesian Small Islands Directory ID, also known as Direktori Pulau-Pulau Kecil Indonesia ID, DPKI, DPKI ID, PPK-KKP (wd:P4227 as prv/psn/pqv/pq/wdt/p/pqn/wdtn/prn/pr/psv/ps): identifier for DPKI directory of small islands by the Indonesian government

[Tool]
Top 10 property alternatives:
1. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as p/wdt): body of water on or next to which a place is located, location
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. 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 p/wdt): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
4. elevation above sea level, also known as MAMSL, MASL, height, elevation above mean sea level, elevation (wd:P2044 as p/wdt): height of the item (geographical object) as measured relative to sea level
5. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as p/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
6. population, also known as inhabitants, human population (wd:P1082 as p/wdt): number of people inhabiting the place; number of people of subject
7. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as p/wdt): area occupied by an object
8. aerial view, also known as overhead view, sky view, orthophotograph, orthophoto, aerial image (wd:P8592 as p/wdt): image of the subject taken from the air, video, image
9. 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

No other items found

[Tool]
Got 1 row and 1 column:
| count        |
| ------------ |
| 25 (xsd:int) |

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 9 (xsd:int) |

[Tool] Stopped generation process