PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?namedAfter ?namedAfterLabel ?inventor ?inventorLabel WHERE {
  wd:Q623561 wdt:P138 ?namedAfter .
  wd:Q623561 wdt:P61 ?inventor .
  OPTIONAL {
    ?namedAfter rdfs:label ?namedAfterLabel .
    FILTER ( LANG( ?namedAfterLabel ) = "en" )
  }
  OPTIONAL {
    ?inventor rdfs:label ?inventorLabel .
    FILTER ( LANG( ?inventorLabel ) = "en" )
  }
}

Using entities:
Dr Pepper (wd:Q623561), also known as Dr. Pepper

Using properties:
named after (wd:P138 as wdt), also known as eponym, etymology, name after, named for, named in honor of, etc.
discoverer or inventor (wd:P61 as wdt), also known as created by, developed by, developer, devised by, discovered by, etc.

Answer: No. Dr Pepper is named after Charles T. Pepper (wd:Q5082829), but its inventor (discoverer) is Charles Courtice Alderton (wd:Q24004555).

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Is Dr. Pepper named after its inventor?

[Assistant] Step 1: I'll search Wikidata for the entity corresponding to "Dr Pepper" to find its item and properties (such as named after, creator, or inventor). I'll run a search for the entity "Dr Pepper".

[Tool]
Top 10 entity alternatives:
1. Dr Pepper (wd:Q623561), also known as Dr. Pepper: is subclass of caffeinated soft drink / is subclass of soft drink / is instance of invention / carbonated soft drink / is instance of brand
2. Keurig Dr Pepper (wd:Q3116111), also known as Green Mountain Coffee, Green Mountain Coffee Roasters, Keurig Green Mountain: is instance of public company / is instance of enterprise / American beverage company / is instance of business
3. Comerica Center (wd:Q637300, matched via Dr Pepper Arena), also known as Deja Blue Arena, Dr Pepper Arena: is instance of stadium / stadium
4. Dr. Pepper Museum (wd:Q25421126): is instance of food museum / museum
5. Dublin Dr Pepper (wd:Q5310881): popular name for a style of Dr Pepper soft drink / is subclass of soft drink
6. Dr. Pepper Syrup Plant (wd:Q124038489, matched via Dr. Pepper Building), also known as Dr. Pepper Building: historic building in Birmingham, Alabama, United States / is instance of historic building
7. Diet Dr Pepper (wd:Q19903950): is subclass of diet soda / is subclass of Dr Pepper / low-calorie soft drink
8. Pepper Drain (wd:Q49265671): canal in Imperial County, California, United States of America / is instance of canal
9. Dr. Peppercorn (wd:Q20536983): is instance of painting / painting by Gene Davis / painting by Gene Davis
10. Dr. William Pepper (wd:Q94045516): scientific article published in September 1898 / scientific article published in September 1898 / scientific article published in September 1898 / is instance of scholarly article / is instance of academic article

[Assistant] I'll list triples for the Dr Pepper item to find statements like "named after", "inventor", "creator", or similar.

[Tool]
Got 227 rows and 3 columns, showing the first 10 rows below:
| subject                | property                     | object                                                                             |
| ---------------------- | ---------------------------- | ---------------------------------------------------------------------------------- |
| Dr Pepper (wd:Q623561) | instance of (wdt:P31)        | invention (wd:Q14208553)                                                           |
| Dr Pepper (wd:Q623561) | country (wdt:P17)            | United States (wd:Q30)                                                             |
| Dr Pepper (wd:Q623561) | Commons category (wdt:P373)  | Dr Pepper                                                                          |
| Dr Pepper (wd:Q623561) | image (wdt:P18)              | <http://commons.wikimedia.org/wiki/Special:FilePath/Dr%20Pepper%20Dose%202024.jpg> |
| Dr Pepper (wd:Q623561) | subclass of (wdt:P279)       | soft drink (wd:Q147538)                                                            |
| Dr Pepper (wd:Q623561) | Freebase ID (wdt:P646)       | /m/01k_xm                                                                          |
| Dr Pepper (wd:Q623561) | inception (wdt:P571)         | 1885-01-01T00:00:00Z (xsd:dateTime)                                                |
| Dr Pepper (wd:Q623561) | country of origin (wdt:P495) | United States (wd:Q30)                                                             |
| Dr Pepper (wd:Q623561) | official name (wdt:P1448)    | Dr Pepper (en)                                                                     |
| Dr Pepper (wd:Q623561) | official website (wdt:P856)  | <https://www.drpepper.com/>                                                        |
| ...                    | ...                          | ...                                                                                |

[Assistant] Next I will check whether the Dr Pepper item has a "named after" (P138) statement or an "inventor" (P61) / "creator" (P170) statement to see if it's named after an inventor. I'll query the triples for P138, P61, and P170 on wd:Q623561.

[Tool]
Got 1 row and 3 columns:
| subject                | property               | object                          |
| ---------------------- | ---------------------- | ------------------------------- |
| Dr Pepper (wd:Q623561) | named after (wdt:P138) | Charles T. Pepper (wd:Q5082829) |

[Assistant] There's a named after (P138) value pointing to Charles T. Pepper (wd:Q5082829). Now I will retrieve information on Charles T. Pepper to see if he is the inventor of Dr Pepper. I'll list properties of wd:Q5082829, especially occupation, notable works, or any statement connecting him as inventor/creator of Dr Pepper.

[Tool]
Got 108 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                         | object                                                                        |
| ------------------------------- | -------------------------------- | ----------------------------------------------------------------------------- |
| Charles T. Pepper (wd:Q5082829) | instance of (wdt:P31)            | human (wd:Q5)                                                                 |
| Charles T. Pepper (wd:Q5082829) | occupation (wdt:P106)            | military physician (wd:Q4002666)                                              |
| Charles T. Pepper (wd:Q5082829) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                            |
| Charles T. Pepper (wd:Q5082829) | given name (wdt:P735)            | Charles (wd:Q2958359)                                                         |
| Charles T. Pepper (wd:Q5082829) | date of birth (wdt:P569)         | 1830-12-02T00:00:00Z (xsd:dateTime)                                           |
| Charles T. Pepper (wd:Q5082829) | Commons category (wdt:P373)      | Charles T. Pepper                                                             |
| Charles T. Pepper (wd:Q5082829) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Charles%20T%20Pepper.jpg> |
| Charles T. Pepper (wd:Q5082829) | family name (wdt:P734)           | Pepper (wd:Q16881110)                                                         |
| Charles T. Pepper (wd:Q5082829) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                        |
| Charles T. Pepper (wd:Q5082829) | Freebase ID (wdt:P646)           | /m/05c55q                                                                     |
| ...                             | ...                              | ...                                                                           |

[Assistant] I should check whether Dr Pepper item has an inventor or creator property linking to the inventor (for example, Charles Alderton). I'll search for common inventor names associated with Dr Pepper, like Charles Alderton, or body "inventor" properties on the Dr Pepper item.

[Tool]
Top 10 property alternatives:
1. discoverer or inventor (wd:P61 as p/wdt, matched via inventor), also known as created by, developed by, developer, devised by, discovered by, etc.: subject who discovered, first described, invented, or developed this discovery or invention or scientific hypothesis or theory / discovered, first described, or invented by / discovered, first described, or invented by
2. manufacturer (wd:P176 as p/wdt, matched via maker), also known as assembled by, assembler, brewed by, brewer, builder, etc.: (main or final) manufacturer or producer of this product / manufacturer or producer of this product
3. inception (wd:P571 as p/wdt, matched via created in), also known as broke ground, built, commenced on date, commencement date, completed, etc.: time when an entity begins to exist; for date of official opening use P1619 / time when an entity begins to exist; for date of official opening use P1619 / date or point in time when the organisation / object was founded / created / is subproperty of start time
4. named after (wd:P138 as p/wdt, matched via eponym), also known as eponym, etymology, name after, named for, named in honor of, etc.: entity or event that inspired the subject's name, or namesake ... "applies to name" (P5168) can be used to indicate which one / person or other entity that inspired this item's name / person or other entity that inspired this item's name
5. Instagram username (wd:P2003 as p/wdt, matched via urinsta), also known as https://www.instagram.com, IG account, IG profile, igram, IG username, etc.: is subproperty of website username or ID / item's username on Instagram / item's username on Instagram / item's username on Instagram
6. KBpedia ID (wd:P8408 as p/wdtn/wdt, matched via kbpedia), also known as kbpedia, Kbpedia, KBpedia, KBpedia knowledge graph, KBpedia ontology, etc.: identifier for the KBpedia knowledge graph, which provides ... and extraction of training sets for machine learning
7. image (wd:P18 as p/wdt, matched via illustration), also known as camera picture, Commons image, drawing, File:, graph, etc.: image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... only images which exist on Wikimedia Commons are acceptable / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image) / image of relevant illustration of the subject; if available, ... map, flag image, signature image, logo image, collage image)
8. official name (wd:P1448 as p/wdt, matched via name), also known as be named, complete title, full title, legal name, long name, etc.: official name of the subject in its official language(s) / official name of the subject in its official language(s) / official name of the subject in its official language(s) / is subproperty of name
9. NicoNicoPedia ID (wd:P6900 as p/wdt, matched via NicoNicoPedia), also known as dic.nicovideo.jp ID, NicoNicoPedia, Niconico Pedia ID, NiconicoPedia ID, P6900: identifier for an article in NicoNicoPedia
10. logo image (wd:P154 as p/wdt, matched via marque), also known as insignia, logo, logomark, mark, marque, etc.: graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organisations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / graphic mark or emblem commonly used by commercial enterprises, organizations and products / is subproperty of icon

No other items found

[Assistant] I'll check if Dr Pepper has a discoverer or inventor (P61) or creator (P170).

[Tool]
Got 1 row and 3 columns:
| subject                | property                         | object                                   |
| ---------------------- | -------------------------------- | ---------------------------------------- |
| Dr Pepper (wd:Q623561) | discoverer or inventor (wdt:P61) | Charles Courtice Alderton (wd:Q24004555) |

[Assistant] The Dr Pepper item has discoverer/inventor P61 pointing to Charles Courtice Alderton (wd:Q24004555). Now I should check if Charles T. Pepper (the namesake) is the same as the inventor or if the drink is named after Charles T. Pepper but invented by Charles Courtice Alderton. I'll retrieve labels and perhaps description for both people to be safe.

[Tool]
Got 121 rows and 3 columns, showing the first 10 rows below:
| subject                                  | property                               | object                                                                      |
| ---------------------------------------- | -------------------------------------- | --------------------------------------------------------------------------- |
| Charles Courtice Alderton (wd:Q24004555) | instance of (wdt:P31)                  | human (wd:Q5)                                                               |
| Charles Courtice Alderton (wd:Q24004555) | occupation (wdt:P106)                  | pharmacist (wd:Q105186)                                                     |
| Charles Courtice Alderton (wd:Q24004555) | sex or gender (wdt:P21)                | male (wd:Q6581097)                                                          |
| Charles Courtice Alderton (wd:Q24004555) | given name (wdt:P735)                  | Charles (wd:Q2958359)                                                       |
| Charles Courtice Alderton (wd:Q24004555) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/11cn5qcv97>                                               |
| Charles Courtice Alderton (wd:Q24004555) | date of birth (wdt:P569)               | 1857-06-21T00:00:00Z (xsd:dateTime)                                         |
| Charles Courtice Alderton (wd:Q24004555) | Commons category (wdt:P373)            | Charles Courtice Alderton                                                   |
| Charles Courtice Alderton (wd:Q24004555) | image (wdt:P18)                        | <http://commons.wikimedia.org/wiki/Special:FilePath/Charles%20Alderton.jpg> |
| Charles Courtice Alderton (wd:Q24004555) | family name (wdt:P734)                 | wd:Q16479342                                                                |
| Charles Courtice Alderton (wd:Q24004555) | country of citizenship (wdt:P27)       | United States (wd:Q30)                                                      |
| ...                                      | ...                                    | ...                                                                         |

[Assistant]
I will prepare the final answer: The question is "Is Dr. Pepper named after its inventor?" The Wikidata data shows it is named after Charles T. Pepper, but the inventor/discoverer is Charles Courtice Alderton — two different people. So the answer should be "No", with supporting references: named after = Charles T. Pepper (wd:Q5082829), inventor = Charles Courtice Alderton (wd:Q24004555). I must produce a SPARQL query that returns these identifiers. The query should return the named after and discoverer/inventor for Dr Pepper (wd:Q623561). I'll build a SELECT query returning ?namedAfter ?inventor (their IRIs) and optionally labels via rdfs:label in OPTIONAL blocks. I need to ensure I use wdt: properties. Also per rules, I must explain thought process before and after each step and function call. I already provided commentary; but the developer instructions require explaining before and after each step and function call. I need to include that in the messages; I've already done commentary throughout. For the final step, must execute the final SPARQL query before calling answer. I'll craft the SPARQL query:

SELECT ?namedAfter ?namedAfterLabel ?inventor ?inventorLabel WHERE {
  wd:Q623561 wdt:P138 ?namedAfter .
  wd:Q623561 wdt:P61 ?inventor .
  OPTIONAL { ?namedAfter rdfs:label ?namedAfterLabel . FILTER(LANG(?namedAfterLabel) = "en") }
  OPTIONAL { ?inventor rdfs:label ?inventorLabel . FILTER(LANG(?inventorLabel) = "en") }
}

Execute it. Then call functions.answer with the query and an answer string: "No. Dr Pepper is named after Charles T. Pepper (wd:Q5082829) but was invented by Charles Courtice Alderton (wd:Q24004555)."

Proceed to execute.
I'll execute a SPARQL query that retrieves both the "named after" (P138) and "discoverer or inventor" (P61) values for Dr Pepper (wd:Q623561), returning the entity IRIs and English labels. This verifies whether the namesake is the inventor.

[Tool]
Got 1 row and 4 columns:
| namedAfter                      | namedAfterLabel        | inventor                                 | inventorLabel                  |
| ------------------------------- | ---------------------- | ---------------------------------------- | ------------------------------ |
| Charles T. Pepper (wd:Q5082829) | Charles T. Pepper (en) | Charles Courtice Alderton (wd:Q24004555) | Charles Courtice Alderton (en) |

[Assistant] The query returned that Dr Pepper is named after Charles T. Pepper (wd:Q5082829) and was invented by Charles Courtice Alderton (wd:Q24004555). Now I'll finalize by returning the SPARQL query and the answer.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?album ?albumLabel ?date WHERE {
  ?album wdt:P175 wd:Q238819 .
  ?album wdt:P577 ?date .
  ?album wdt:P31 ?type .
  FILTER ( ?type = wd:Q482994 || ?type = wd:Q208569 ) OPTIONAL {
    ?album rdfs:label ?albumLabel FILTER ( LANG( ?albumLabel ) = "en" )
  }
}
ORDER BY ?date
LIMIT 1

Using entities:
studio album (wd:Q208569)
Jay Chou (wd:Q238819), also known as Chou Chieh-lun, President Chou, Zhou Jielun
album (wd:Q482994), also known as audio album, full album, full-length album, music album, record album

Using properties:
performer (wd:P175 as wdt), also known as actor, actress, artist, dancer, musical artist, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
publication date (wd:P577 as wdt), also known as air date, airdate, be published during, be published in, broadcast date, etc.

Answer: The first album by Jay Chou is the album with IRI wd:Q221115, titled "Jay", released on 2000-11-06.

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] The first album of Jay Chou

[Assistant]
I will first search Wikidata for the entity corresponding to "Jay Chou" to get its Q-ID. Then I'll look for album items that are instances of "album" and have Jay Chou as performer/artist and order them by release date to get his first album. I'll verify properties used (e.g., "performer", "artist", "publication date"/"release date") before building the final query.

I'll search for the Jay Chou entity now.

[Tool]
Top 10 entity alternatives:
1. Jay Chou (wd:Q238819), also known as Chou Chieh-lun, President Chou, Zhou Jielun: Taiwanese pop singer, songwriter, and actor / has occupation recording artist / has occupation record producer / has occupation film director / has occupation songwriter / has occupation overseer / has occupation director / has occupation composer / has occupation rapper / has occupation singer / has occupation actor / is instance of human
2. Jayadratha Choudhury (wd:Q107562664): Indian Odia-language writer / has occupation writer / is instance of human
3. Jayanta Choudhury (wd:Q102339960): Ph.D. University of Louisiana at Lafayette 2008 / is instance of human
4. Jaya Choudhary (wd:Q88317282): has occupation researcher / is instance of human / researcher
5. Jay Chou's Bedtime Stories (wd:Q24595331): 2016 studio album by Jay Chou / is instance of album / album by Jay Chou / album by Jay Chou
6. Jayanta Narayan Choudhury (wd:Q110437452), also known as Jayanto Narayan Choudhury: Indian police officer / is instance of human
7. Choudhury Jayprakash Das (wd:Q60511536), also known as Caudhurī Jaẏaprakāśa Dāsa, Choudhury Jayaprakash Das: has occupation film actor / Indian actor and academic / has occupation teacher / has occupation actor / is instance of human
8. chǒu (丑) (wd:Q16539206), also known as chou shi, hour of the ox: second (chǒu) of the 12 Earthly Branches, also associated to ... the 12 traditional Chinese daily hours (from 01:00 to 02:59) / is instance of Earthly Branches
9. Irene Chou (wd:Q6068966, matched via Chou Lu-yün Chou), also known as Chou Lu-yün, Chou Lu-yün Chou, Lüyun, Lü-yün, Lü-yün Chou, etc.: Chinese painter (1924-2011) / has occupation journalist / has occupation painter / is instance of human / Chinese painter / Chinese painter
10. Super Psychic Policeman Chojo (wd:Q124474801, matched via Choujun! Choujou-senpai), also known as Chōjun! Chōjō-senpai, Choujun! Choujou-senpai: is instance of manga series / Japanese manga series

[Assistant] I'll query Wikidata for items that list Jay Chou (wd:Q238819) as performer and have a publication date, restricting to instances of "album" or "studio album" to find release dates. I'll request labels in English if available. Now I'll run the SPARQL query.

[Tool]
Got 29 rows and 4 columns, showing the first 5 and last 5 rows below:
| album                                           | albumLabel                            | date                                | type               |
| ----------------------------------------------- | ------------------------------------- | ----------------------------------- | ------------------ |
| Jay (wd:Q221115)                                | Jay (en)                              | 2000-11-06T00:00:00Z (xsd:dateTime) | album (wd:Q482994) |
| Jay (wd:Q221115)                                | Jay (en)                              | 2000-11-07T00:00:00Z (xsd:dateTime) | album (wd:Q482994) |
| Fantasy (wd:Q595532)                            | Fantasy (en)                          | 2001-09-14T00:00:00Z (xsd:dateTime) | album (wd:Q482994) |
| The Eight Dimensions (wd:Q680715)               | The Eight Dimensions (en)             | 2002-01-01T00:00:00Z (xsd:dateTime) | album (wd:Q482994) |
| The One Live CD (wd:Q1319607)                   | The One Live CD (en)                  | 2002-01-01T00:00:00Z (xsd:dateTime) | album (wd:Q482994) |
| ...                                             | ...                                   | ...                                 | ...                |
| Opus Jay World Tour Concert Live (wd:Q24073870) | Opus Jay World Tour Concert Live (en) | 2013-01-01T00:00:00Z (xsd:dateTime) | album (wd:Q482994) |
| Aiyo, Nor Bad (wd:Q18652147)                    | Aiyo, Nor Bad (en)                    | 2014-01-01T00:00:00Z (xsd:dateTime) | album (wd:Q482994) |
| Jay Chou's Bedtime Stories (wd:Q24595331)       | Jay Chou's Bedtime Stories (en)       | 2016-01-01T00:00:00Z (xsd:dateTime) | album (wd:Q482994) |
| THE INVINCIBLE (wd:Q97350176)                   | THE INVINCIBLE (en)                   | 2019-11-01T00:00:00Z (xsd:dateTime) | album (wd:Q482994) |
| Greatest Works of Art (wd:Q112935732)           | Greatest Works of Art (en)            | 2022-07-15T00:00:00Z (xsd:dateTime) | album (wd:Q482994) |

[Assistant]
I'll run a final SPARQL query that finds items that are instances of "album" or "studio album", have Jay Chou (wd:Q238819) as performer (P175), and have a publication date (P577). I'll order by the publication date ascending and return the earliest one (LIMIT 1). This verifies the first album and returns its identifier and label.

Now I will execute that query.

[Tool]
Got 1 row and 3 columns:
| album            | albumLabel | date                                |
| ---------------- | ---------- | ----------------------------------- |
| Jay (wd:Q221115) | Jay (en)   | 2000-11-06T00:00:00Z (xsd:dateTime) |

[Assistant] My final SPARQL query retrieved the album Q221115 with label "Jay" and release date 2000-11-06. I'll present the SPARQL query and the answer.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?show ?showLabel ?start WHERE {
  wd:Q13979 wdt:P580 ?snlStart .
  BIND( year( ?snlStart ) AS ?snlYear ) ?show wdt:P580 ?start .
  FILTER ( year( ?start ) = ?snlYear ) ?show wdt:P31 / wdt:P279 * wd:Q15416 .
  OPTIONAL {
    ?show rdfs:label ?showLabel FILTER ( LANG( ?showLabel ) = "en" )
  }
}
ORDER BY ?showLabel

Using entities:
Saturday Night Live (wd:Q13979), also known as NBC's Saturday Night, Saturday Night
television program (wd:Q15416), also known as television appearance, television broadcast, television programme, television show, T. V. broadcast, etc.

Using properties:
subclass of (wd:P279 as wdt), also known as all members of this class also belong to, category of, form of, has superclass, is a class of, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.
start time (wd:P580 as wdt), also known as began, beginning, building date, effective, effectivity, etc.

Answer: I found shows whose first air date (wdt:P580) is in the same year as Saturday Night Live (1975). The SPARQL query above returns the IRIs, English labels (when available), and start dates of those shows. The query returned 434 items; examples include: "Winner Takes All" (wd:Q8025607) — 1975-04-20, "Wintario" (wd:Q8026165) — 1975-05-15, "Wollongong the Brave" (wd:Q8030378) — 1975-03-21, "Wonder Woman" (wd:Q1247495) — 1975-11-07, and "The Blue Knight" (wd:Q2849711) — 1975-12-17. You can run the included query on Wikidata to get the full list.

Which shows aired for the first time the same year as Saturday Night Live ?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Which shows aired for the first time the same year as Saturday Night Live ?

[Assistant] I will first find the Wikidata item for "Saturday Night Live", then look for the property that records the date a TV show first aired (first broadcast). After identifying the property, I'll query for other TV shows whose first broadcast year equals the first broadcast year of Saturday Night Live. I'll run intermediate searches and explain each step. I'll start by searching for the entity "Saturday Night Live".

[Tool]
Top 10 entity alternatives:
1. Saturday Night Live (wd:Q13979), also known as NBC's Saturday Night, Saturday Night: American late-night live television sketch comedy show / is instance of television series / is instance of serial
2. Saturday Night Live (wd:Q6122059): is instance of television series / is instance of serial / television series
3. Saturday Night Live (wd:Q28452163): album by Trouble Funk / album by Trouble Funk / album by Trouble Funk / is instance of album
4. Saturday Night Live (wd:Q23039888): is instance of television series / is instance of serial / tv show aired in 2016
5. Saturday Night Live Korea (wd:Q7426718), also known as SNL Korea, SNL.KOREA, SNL Korea 6: is instance of television programme / 2011 South Korean television series / is instance of television program
6. Saturday Night Live Japan (wd:Q11304712): is instance of television programme / is instance of television program / Japanese TV series or program
7. Le Saturday Night Live (wd:Q28194825): French late-night live television comedy show / is instance of television programme / is instance of television program
8. history of Saturday Night Live (wd:Q5866387, matched via Saturday Night Live history), also known as Saturday Night Live history: is instance of aspect of history / List article
9. Katy Perry/Robyn (wd:Q5483492, matched via Saturday Night Live S37E9), also known as Saturday Night Live S37E9, Saturday Night Live, season 37 episode 9, Saturday Night Live Season 37 Episode 9: is instance of television series episode / episode of Saturday Night Live (S37 E9)
10. Saturday Night Live Band (wd:Q7426708): is instance of musical group / American jazz and R&B band

[Assistant] I'll search for properties related to "first aired" / "date of first broadcast" to find which property records when a TV show first aired.

[Tool]
Top 10 property alternatives:
1. location of first performance (wd:P4647 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via first broadcasted at), also known as first broadcasted at, first performance location, first performance place, first performed at, place of first performance, etc.: location where a work was first debuted, performed or broadcasted / is subproperty of significant place
2. publication date (wd:P577 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via air date), also known as air date, airdate, be published during, be published in, broadcast date, etc.: date or point in time when a work was first published or released / date or point in time a work is first published or released / date or point in time a work is first published or released / is subproperty of point in time
3. date of first performance (wd:P1191 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via premiere), also known as date of premiere, first performance date, premiere, premiere date, time of first performance, etc.: date a work was first debuted, performed or live-broadcasted / is subproperty of date of publication / is subproperty of publication date
4. first performance by (wd:P11849 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via premiered by), also known as first performed by, premiered by, world premiere by, world premiere performed by, world premier performance by, etc.: performer or performing group for the first performance of a work
5. first appearance (wd:P4584 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as appeared first in, debut, first episode, first film, initial appearance, etc.: work in which a fictional/mythical character or entity first appeared / is subproperty of present in work
6. number of representations (wd:P5027 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via shows), also known as concerts, no. of shows, number of concerts, number of performances, number of shows, etc.: number of shows (including the premiere) of a concert tour or a performing arts production
7. depicts (wd:P180 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via shows), also known as conveys, depicting, depiction of, displays, features, etc.: entity visually depicted in an image, literarily described in ... audiovisual or other medium; see also P921,  'main subject' / depicted entity (see also P921: main subject) / depicted entity (see also P921: main subject) / is subproperty of has part(s) / is subproperty of has part / place
8. introduced in (wd:P10695 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via first appeared in), also known as added in, first appeared in, first published in, introduced by, P10695: work that introduced this concept
9. premiere type (wd:P4634 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as P4634: indicates the premiere type (world premiere, language premiere, country premiere) of a performing arts production
10. season (wd:P4908 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via television season), also known as series of television program, television season, television series, TV season, TV series, etc.: season of a series (televison, web, podcast) / Series of a television show / is subproperty of part of

[Assistant] I'll look up properties used on the Saturday Night Live item to find how its first aired date is recorded in Wikidata. I'll search for properties of the SNL entity related to broadcast/premiere dates.

[Tool]
Top 10 property alternatives:
1. original broadcaster (wd:P449 as p/wdt, matched via first air channel), also known as aired on, airs on, broadcast on, channel, first air channel, etc.: network(s) or service(s) that originally broadcasted a radio or television programme / network(s) or service(s) that originally broadcast a radio or television program / is subproperty of broadcast by
2. duration (wd:P2047 as p/wdt, matched via era), also known as cook time, era, interval, length, length of time, etc.: length of time of an event or process / length of time of an event or process / length of time of an event or process
3. start time (wd:P580 as p/wdt, matched via began), also known as began, beginning, building date, effective, effectivity, etc.: indicates the time an item begins to exist or a statement starts being valid / indicates the time an item begins to exist or a statement starts being valid / time an entity begins to exist or a statement starts being valid / is subproperty of point in time
4. number of episodes (wd:P1113 as p/wdt, matched via episode count), also known as episode count, episodes, no. of episodes, series length, P1113: is subproperty of number of parts of a work of art / is subproperty of number of parts of this work / number of episodes in a film/TV/radio series / number of episodes in a film/TV/radio series / number of episodes in a film/TV/radio series
5. filming location (wd:P915 as p/wdt, matched via filmed in), also known as filmed at, filmed in, filmed on location in, film location, location of filming, etc.: actual place where this scene/film was shot. For the setting, use "narrative location" (P840) / is subproperty of recording location
6. cast member (wd:P161 as p/wdt, matched via actor), also known as actor, actress, contestant of a play, feat., film starring, etc.: actor in the subject production [use "character role" (P453) ... "recorded participant" (P11108) for non-fiction productions] / actor in the subject production [use "character role" (P453) ... as qualifiers] [use "voice actor" (P725) for voice-only role] / actor performing live for a camera or audience [use ... as qualifier] [use "voice actor" (P725) for voice-only role] / is subproperty of significant person / is subproperty of performer
7. presenter (wd:P371 as p/wdt, matched via presented by), also known as host, hosted by, hostess, presented by, TV host, etc.: someone who takes a main role in presenting a radio or television programme or a performing arts show / main role in presenting a radio or television program or a performing arts show / is subproperty of significant person / is subproperty of cast member
8. title (wd:P1476 as p/wdt, matched via headline), also known as article title, full title, headline, known as, name, etc.: published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / published title of a work, such as a newspaper article, a literary work, a website, or a performance work / is subproperty of name
9. instance of (wd:P31 as p/wdt, matched via is a), also known as example of, has type, is a, is an, is of type, etc.: type to which this subject corresponds/belongs. Different ... and the volcano is a type (instance) of volcanic landform / that class of which this subject is a particular example and ... a subclass of mountain (and an instance of volcanic landform)
10. country of origin (wd:P495 as p/wdt, matched via origin country), also known as comes from, CoO, country, originates from, origin country, etc.: country of origin of this item (creative work, food, phrase, product, etc.) / country of origin of this item (creative work, food, phrase, product, etc.) / country of origin of this item (creative work, food, phrase, product, etc.) / is subproperty of significant place / is subproperty of country

No other items found

[Assistant] I'll list triples for the Saturday Night Live item to see which property records its first air date (look for P580, P577, or P1191). I'll fetch a selection of properties for wd:Q13979.

[Tool]
Got 697 rows and 3 columns, showing the first 10 rows below:
| subject                         | property                     | object                                                                    |
| ------------------------------- | ---------------------------- | ------------------------------------------------------------------------- |
| Saturday Night Live (wd:Q13979) | instance of (wdt:P31)        | television series (wd:Q5398426)                                           |
| Saturday Night Live (wd:Q13979) | title (wdt:P1476)            | Saturday Night Live (en)                                                  |
| Saturday Night Live (wd:Q13979) | Commons category (wdt:P373)  | Saturday Night Live                                                       |
| Saturday Night Live (wd:Q13979) | Freebase ID (wdt:P646)       | /m/039cq4                                                                 |
| Saturday Night Live (wd:Q13979) | has part(s) (wdt:P527)       | Saturday Night Live, season 46 (wd:Q104845074)                            |
| Saturday Night Live (wd:Q13979) | country of origin (wdt:P495) | United States (wd:Q30)                                                    |
| Saturday Night Live (wd:Q13979) | official website (wdt:P856)  | <https://www.nbc.com/saturday-night-live>                                 |
| Saturday Night Live (wd:Q13979) | genre (wdt:P136)             | stand-up comedy (wd:Q145806)                                              |
| Saturday Night Live (wd:Q13979) | award received (wdt:P166)    | Primetime Emmy Award for Outstanding Variety Sketch Series (wd:Q25021475) |
| Saturday Night Live (wd:Q13979) | cast member (wdt:P161)       | Selena Gomez (wd:Q83287)                                                  |
| ...                             | ...                          | ...                                                                       |

[Tool]
Got 1 row and 3 columns:
| subject                         | property              | object                              |
| ------------------------------- | --------------------- | ----------------------------------- |
| Saturday Night Live (wd:Q13979) | start time (wdt:P580) | 1975-10-11T00:00:00Z (xsd:dateTime) |

[Assistant] I'll search for the Wikidata item for "television program" / "television series" to choose an appropriate class to constrain results.

[Tool]
Top 10 entity alternatives:
1. television program (wd:Q15416), also known as television appearance, television broadcast, television programme, television show, T. V. broadcast, etc.: picture and sound segment of content intended for broadcast on television / segment of audiovisual content intended for broadcast on television / segment of content intended for broadcast on television / is subclass of broadcasting programme / is subclass of broadcasting program / is subclass of audiovisual work / is subclass of moving image
2. reality television (wd:Q182415, matched via reality television program), also known as reality series, reality show, reality television program, reality television show, reality TV, etc.: genre of television programming that documents unscripted situations and actual occurrences / is subclass of television programme / is subclass of television program / is instance of television genre
3. variety show (wd:Q336181, matched via television variety program), also known as television variety program, television variety show, variety, variety entertainment, variety program, etc.: television genre characterized by a series of specialty acts such as music, dance, comedy, magic, acrobatics and ventriloquism / is subclass of television programme / is subclass of television program / is instance of television genre
4. Today (wd:Q130838, matched via Today (television program)), also known as NBC Today show, NBC Today show (television program), The Today Show, today.com, Today show, etc.: American morning television program broadcast on NBC / is instance of television series / is instance of live broadcast / is instance of news website / is instance of news program / is instance of serial / US TV programme
5. legal drama (wd:Q643873, matched via law television program), also known as attorney and client drama, court drama, courtroom drama, courtroom drama film, hero-lawyer film, etc.: genre of film, television and theatre / is subclass of television programme / is subclass of television program / is instance of theatrical genre / is instance of television genre / is instance of Film genre / is instance of film genre / is subclass of drama film / is subclass of drama / is subclass of play / is subclass of Play / theatrical genre
6. reality show (wd:Q3421644, matched via reality-based television program), also known as reality-based television program, reality television program, reality television show, reality TV program, reality TV show, etc.: is subclass of reality television / is instance of television genre / television genre
7. drama television program (wd:Q110593089), also known as drama programming, drama television, drama television show, dramatic programming, dramatic television program, etc.: is subclass of fiction television program / is instance of television genre / is subclass of drama fiction / television genre
8. television documentary (wd:Q7603925, matched via documentary television program), also known as documentary television, documentary television film, documentary television program, documentary TV, genre of television series, etc.: is subclass of factual television program / is subclass of Factual television / is subclass of factual television / is instance of television genre / genre of television programming / genre of television programming / is subclass of documentary
9. comedy television program (wd:Q7696995), also known as comedy television, comedy television show, comedy TV, humour television show, telecomedia, etc.: is subclass of television programme / is subclass of television program / is instance of television genre / is subclass of comedy / television genre
10. program maker (wd:Q2548714, matched via television program creator), also known as television program creator, television show creator: person who makes radio or television programs / is instance of profession

[Assistant]
I will build a SPARQL query that:
- Finds the start time (P580) of Saturday Night Live (wd:Q13979).
- Extracts the year from that start time.
- Finds other items that are instance of television program (wd:Q15416) or television series (wd:Q5398426) and have start time (P580) in the same year.
- Return the IRIs of those shows and optionally labels.

I'll run a preliminary query to get Saturday Night Live's start year and shows that started in 1975 to verify.

[Tool]
Got 1 row and 1 column:
| snlStart                            |
| ----------------------------------- |
| 1975-10-11T00:00:00Z (xsd:dateTime) |

[Assistant] The start date is 1975-10-11. I will write a query that finds other television series/programs whose start time (wdt:P580) has year 1975. I should include shows whose start time is any date in 1975. I'll constrain results to items that are instance of television program (wd:Q15416) or television series (wd:Q5398426). I will return the item IRIs and labels and the start date. Then execute it to get results.

[Tool]
Got 355 rows and 3 columns, showing the first 5 and last 5 rows below:
| show                            | showLabel             | start                               |
| ------------------------------- | --------------------- | ----------------------------------- |
| wd:Q11879860                    |                       | 1975-01-01T00:00:00Z (xsd:dateTime) |
| wd:Q5559678                     |                       | 1975-01-01T00:00:00Z (xsd:dateTime) |
| wd:Q55737464                    |                       | 1975-01-01T00:00:00Z (xsd:dateTime) |
| wd:Q38252308                    |                       | 1975-01-01T00:00:00Z (xsd:dateTime) |
| wd:Q1466413                     |                       | 1975-01-01T00:00:00Z (xsd:dateTime) |
| ...                             | ...                   | ...                                 |
| The Blue Knight (wd:Q2849711)   | The Blue Knight (en)  | 1975-12-17T00:00:00Z (xsd:dateTime) |
| My z konce sveta (wd:Q12039076) | My z konce sveta (en) | 1975-12-22T00:00:00Z (xsd:dateTime) |
| The Neighbors (wd:Q7753387)     | The Neighbors (en)    | 1975-12-29T00:00:00Z (xsd:dateTime) |
| wd:Q3236114                     |                       | 1975-12-31T00:00:00Z (xsd:dateTime) |
| wd:Q11303114                    |                       | 1975-12-31T00:00:00Z (xsd:dateTime) |

[Assistant] Now I'll run a refined SPARQL query to find all items that are instances (or instances of subclasses) of "television program" (Q15416) and that have a start time (P580) in the same year as Saturday Night Live (1975). The query will return the item IRIs, English labels (when available), and start dates. I'll execute it to verify the results.

[Tool]
Got 434 rows and 3 columns, showing the first 5 and last 5 rows below:
| show                                         | showLabel                          | start                               |
| -------------------------------------------- | ---------------------------------- | ----------------------------------- |
| wd:Q15266976                                 |                                    | 1975-04-06T00:00:00Z (xsd:dateTime) |
| wd:Q19372584                                 |                                    | 1975-09-08T00:00:00Z (xsd:dateTime) |
| wd:Q3576756                                  |                                    | 1975-09-01T00:00:00Z (xsd:dateTime) |
| wd:Q18566932                                 |                                    | 1975-06-02T00:00:00Z (xsd:dateTime) |
| wd:Q18290333                                 |                                    | 1975-01-15T00:00:00Z (xsd:dateTime) |
| ...                                          | ...                                | ...                                 |
| Winner Takes All (wd:Q8025607)               | Winner Takes All (en)              | 1975-04-20T00:00:00Z (xsd:dateTime) |
| Wintario (wd:Q8026165)                       | Wintario (en)                      | 1975-05-15T00:00:00Z (xsd:dateTime) |
| Wollongong the Brave (wd:Q8030378)           | Wollongong the Brave (en)          | 1975-03-21T00:00:00Z (xsd:dateTime) |
| Wonder Woman (wd:Q1247495)                   | Wonder Woman (en)                  | 1975-11-07T00:00:00Z (xsd:dateTime) |
| Youngest of the Hamr's Family (wd:Q12040593) | Youngest of the Hamr's Family (en) | 1975-05-15T00:00:00Z (xsd:dateTime) |

[Assistant] The query returned many shows that first aired in 1975. I should present these results to the user. The user asked: "Which shows aired for the first time the same year as Saturday Night Live ?" They likely expect a list of shows that debuted in 1975. I will finalize by returning the SPARQL query I used and a concise answer summarizing that the query returns shows that first aired in 1975, optionally providing a few examples. I must execute the final SPARQL query before giving the answer — I've already executed it and got results. I'll include the final query and the answer listing the shows (maybe top N or note that the query returns 434 shows). The instructions require the SPARQL query in the final answer and to explain thought process before and after each step and function call — I have been explaining. Now I'll call functions.answer with the final SPARQL query and the answer.

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?team ( COUNT( ?season ) AS ?wins ) ?teamLabel WHERE {
  ?season wdt:P3450 wd:Q155223 .
  ?season wdt:P1346 ?team .
  OPTIONAL {
    ?team rdfs:label ?teamLabel FILTER ( LANG( ?teamLabel ) = "en" )
  }
}
GROUP BY ?team ?teamLabel
ORDER BY DESC ( ?wins )
LIMIT 20

Using entities:
National Basketball Association (wd:Q155223), also known as BAA, Basketball Association of America, National Basketball Assn., Nat'l Basketball Assn., NBA

Using properties:
winner (wd:P1346 as wdt), also known as 1st place medalist, awardee, champ, champion, has winner, etc.
sports season of league or competition (wd:P3450 as wdt), also known as athletics meeting item belonging to this instance, edition of annual athletics meeting, is an edition of athletics meeting, is a season of, is season of, etc.

Got 20 rows and 3 columns, showing the first 5 and last 5 rows below:
| team                               | wins         | teamLabel                  |
| ---------------------------------- | ------------ | -------------------------- |
| Los Angeles Lakers (wd:Q121783)    | 18 (xsd:int) | Los Angeles Lakers (en)    |
| Boston Celtics (wd:Q131371)        | 17 (xsd:int) | Boston Celtics (en)        |
| Chicago Bulls (wd:Q128109)         | 6 (xsd:int)  | Chicago Bulls (en)         |
| Golden State Warriors (wd:Q157376) | 6 (xsd:int)  | Golden State Warriors (en) |
| San Antonio Spurs (wd:Q159729)     | 5 (xsd:int)  | San Antonio Spurs (en)     |
| ...                                | ...          | ...                        |
| Dallas Mavericks (wd:Q132893)      | 1 (xsd:int)  | Dallas Mavericks (en)      |
| Washington Wizards (wd:Q169165)    | 1 (xsd:int)  | Washington Wizards (en)    |
| Toronto Raptors (wd:Q132880)       | 1 (xsd:int)  | Toronto Raptors (en)       |
| Seattle SuperSonics (wd:Q235326)   | 1 (xsd:int)  | Seattle SuperSonics (en)   |
| Baltimore Bullets (wd:Q2928124)    | 1 (xsd:int)  | Baltimore Bullets (en)     |

Answer:
I will explain my process and then give the results.

Step 1 — determine entities and properties
- I expected season items to be linked to the league (NBA) and to have a property indicating the season winner. Likely candidates: P3450 (sports season of league or competition) to link a season to the NBA (wd:Q155223) and P1346 (winner) to indicate the champion of a season.

Step 2 — verify usage in Wikidata
- I inspected an example NBA season item and checked its properties to confirm seasons use P3450 to link to the NBA and that winners are given with P1346.

Step 3 — build the SPARQL query
- The query selects teams (?team) and counts how many ?season items (with ?season wdt:P3450 wd:Q155223) list that team as winner (?season wdt:P1346 ?team). It groups by team and orders by descending count to find which teams have won the most seasons. The query returns the team IRIs and English labels (if available) and the win counts.

Step 4 — execute the query
- I executed the query on the Wikidata SPARQL endpoint. The top results returned by the query are:
  - wd:Q121783 (Los Angeles Lakers) — 18
  - wd:Q131371 (Boston Celtics) — 17
  - wd:Q128109 (Chicago Bulls) — 6
  - wd:Q157376 (Golden State Warriors) — 6
  - wd:Q159729 (San Antonio Spurs) — 5

These are the teams that have won the most seasons according to the Wikidata data returned by the query. The SPARQL query used is included above and was executed against Wikidata; the result rows contain the actual item IRIs (team column) and counts (wins column).

Which NBA teams have won the most seasons?

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] Which NBA teams have won the most seasons?

[Assistant] I'll first search for entities related to "NBA season", "NBA championship", and "NBA Finals" to find how winners are modeled in Wikidata (e.g., whether season items have a winner property). I'll search for "NBA season" and "NBA Finals".

[Tool]
Top 10 entity alternatives:
1. 2012–13 NBA season (wd:Q113619), also known as 2012-13 NBA season: is instance of season / sports season
2. 2007–08 NBA season (wd:Q1121549), also known as 2007-08 NBA season: is instance of season / sports season
3. 2000–01 NBA season (wd:Q1132667), also known as 2000-01 NBA season: is instance of season / sports season
4. 2003–04 NBA season (wd:Q1132659), also known as 2003-04 NBA season: is instance of season / sports season
5. 1999–2000 NBA season (wd:Q1132641), also known as 1999-2000 NBA season: is instance of season / sports season
6. 2016–17 NBA season (wd:Q23939796), also known as 2016-17 NBA season: 2016–2017 season of the National Basketball Association / is instance of season
7. 2009–10 NBA season (wd:Q1130071), also known as 2009-10 NBA season: is instance of season / sports season
8. 2005–06 NBA season (wd:Q1142320), also known as 2005-06 NBA season: is instance of season / sports season
9. 1998–99 NBA season (wd:Q1321776), also known as 1998-99 NBA season: is instance of season / sports season
10. 2002–03 NBA season (wd:Q1135932), also known as 2002-03 NBA season: is instance of season / sports season

[Assistant] I'll search for properties used to indicate the winner of a sports season, such as "winner" or "champion", and verify usage on a specific season item.

[Tool]
Top 10 property alternatives:
1. sports season of league or competition (wd:P3450 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via sport season), also known as athletics meeting item belonging to this instance, edition of annual athletics meeting, is an edition of athletics meeting, is a season of, is season of, etc.: property that shows the competition of which the item is a season. Use P5138 for "season of club or team". / is subproperty of part of
2. award received (wd:P166 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via winner of), also known as award, awarded, awards, awards received, award won, etc.: award or recognition received by a person, organisation or creative work / award or recognition received by a person, organization or creative work / award or recognition received by a person, organization or creative work / awards received by a person, organisation or creative work
3. competition won (wd:P2522 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via winner of), also known as victory, winner of, won, won event, P2522: competition or sports event won by the subject / is subproperty of participant in
4. season of club or team (wd:P5138 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via sports season of club or team), also known as season of athletics program, season of club, season of team, sports season of club or team, P5138: club or team that played the season
5. number of wins (wd:P1355 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via sporting wins), also known as games won, matches won, match victories, sporting wins, victories, etc.: number of sporting matches, games or events won
6. sport number (wd:P1618 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via sports number), also known as bib, car number, entry number, guernsey number, jersey number, etc.: number worn on a player's (competitor's) uniform, equipment, etc / number worn on a player's (competitor's) uniform, equipment, etc / number worn on a player's (competitor's) uniform, equipment, etc / is subproperty of series ordinal
7. IPC.infostradasports.com sportsperson ID (archived) (wd:P4397 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as International Paralympic Committee athlete numerical ID (archived), IPC.infostradasports.com athlete ID (archived), P4397: identifier for a Paralympic athlete (sportsperson) at ... Paralympic Committee - formerly at paralympic.org / identifier for an athlete on the International Paralympic Committee website
8. country for sport (wd:P1532 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via sports nationality), also known as representative nationality, sport country, sporting nationality, sport nationality, sports country, etc.: country a person or a team represents when playing a sport / is subproperty of country
9. ESPN FC player ID (wd:P3681 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via espn.com), also known as espn.com, ESPNFC.com player ID, ESPN SoccerNet player ID, https://global.espn.com/football/player/_/id/, https://www.espn.co.uk/football/, etc.: identifier for an association football (soccer) player at ESPN FC
10. member of sports team (wd:P54 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via sport team), also known as club played for, member of team, of team, part of team, played for, etc.: sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject currently represents or formerly represented / sports teams or clubs that the subject represents or represented / is subproperty of member of

[Assistant] I'll inspect a specific NBA season item to find which property records the champion/winner. I'll check 2016–17 NBA season (wd:Q23939796) for properties.

[Tool]
Got 135 rows and 3 columns, showing the first 10 rows below:
| subject                           | property                               | object                              |
| --------------------------------- | -------------------------------------- | ----------------------------------- |
| 2016–17 NBA season (wd:Q23939796) | instance of (wdt:P31)                  | season (wd:Q27020041)               |
| 2016–17 NBA season (wd:Q23939796) | country (wdt:P17)                      | United States (wd:Q30)              |
| 2016–17 NBA season (wd:Q23939796) | Google Knowledge Graph ID (wdtn:P2671) | <http://g.co/kg/g/11bwf20j4z>       |
| 2016–17 NBA season (wd:Q23939796) | Commons category (wdt:P373)            | 2016–17 NBA season                  |
| 2016–17 NBA season (wd:Q23939796) | location (wdt:P276)                    | United States (wd:Q30)              |
| 2016–17 NBA season (wd:Q23939796) | sport (wdt:P641)                       | basketball (wd:Q5372)               |
| 2016–17 NBA season (wd:Q23939796) | official website (wdt:P856)            | <http://www.nba.com/>               |
| 2016–17 NBA season (wd:Q23939796) | start time (wdt:P580)                  | 2016-10-25T00:00:00Z (xsd:dateTime) |
| 2016–17 NBA season (wd:Q23939796) | topic's main category (wdt:P910)       | wd:Q24258951                        |
| 2016–17 NBA season (wd:Q23939796) | end time (wdt:P582)                    | 2017-06-12T00:00:00Z (xsd:dateTime) |
| ...                               | ...                                    | ...                                 |

[Assistant] I'll search within that season's properties for something indicating champion/winner, such as "champion", "winner", or "finals champion". I'll scan full listing for relevant labels.

[Tool]
Top 10 property alternatives:
1. winner (wd:P1346 as p/wdt, matched via champion), also known as 1st place medalist, awardee, champ, champion, has winner, etc.: winner of a competition or similar event, not to be used for ... qualified with "for work" (P1686)) or for wars or battles / winner of an event - do not use for awards (use P166 instead), nor for wars or battles / is subproperty of participating team / is subproperty of participant
2. sports season of league or competition (wd:P3450 as p/wdt, matched via sport season), also known as athletics meeting item belonging to this instance, edition of annual athletics meeting, is an edition of athletics meeting, is a season of, is season of, etc.: property that shows the competition of which the item is a season. Use P5138 for "season of club or team". / is subproperty of part of
3. sport (wd:P641 as p/wdt), also known as play, plays, sport played, sports, P641: sport that the subject participates or participated in or is associated with / sport or discipline in which the entity participates or belongs to
4. competition class (wd:P2094 as p/wdt), also known as class for competition, compclass, disability sport classifications, qualification class, qualifies for, etc.: official classification by a regulating body under which the ... teams, participants, or equipment) qualifies for inclusion / official classification by a regulating body under which the ... teams, participants, or equipment) qualifies for inclusion
5. number of participants (wd:P1132 as p/wdt, matched via number of teams), also known as number of competitors, number of teams, participant count, participants, qty participants, etc.: number of participants of an event, e.g. people or groups of people that take part in the event (NO units) / is subproperty of quantity
6. official website (wd:P856 as p/wdt, matched via homepage (official)), also known as home page, homepage, home page (official), homepage (official), official homepage, etc.: URL of the official page of an item (current or former). ... see the "Hijacked or dead websites" section of the Talk page / is subproperty of URL
7. location (wd:P276 as p/wdt, matched via place held), also known as based in, city, from, held by, in, etc.: location of the object, structure or event. In the case of an ... use P706. Use P7153 for locations associated with the object / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706. / location of the item, physical object or event is within. In ... use P131. In case of a distinct terrain feature use P706.
8. start time (wd:P580 as p/wdt, matched via from), also known as began, beginning, building date, effective, effectivity, etc.: indicates the time an item begins to exist or a statement starts being valid / indicates the time an item begins to exist or a statement starts being valid / time an entity begins to exist or a statement starts being valid / is subproperty of point in time
9. end time (wd:P582 as p/wdt, matched via stop time), also known as abolished, cease date, cease operation, cease time, closed, etc.: moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true / indicates the time an item ceases to exist or a statement stops being valid / indicates the time an item ceases to exist or a statement stops being valid / is subproperty of point in time
10. organizer (wd:P664 as p/wdt, matched via event organizer), also known as event organiser, event organizer, event producer, organised by, organiser, etc.: person or institution organizing an event / person or institution organizing an event

No other items found

[Assistant] I'll find the Wikidata item for the National Basketball Association and then look for seasons that are editions of that league.

[Tool]
Top 10 entity alternatives:
1. National Basketball Association (wd:Q155223), also known as BAA, Basketball Association of America, National Basketball Assn., Nat'l Basketball Assn., NBA: North American professional men's basketball league / is instance of professional sports league / is instance of basketball association / is instance of basketball league / is instance of online database
2. Women's National Basketball Association (wd:Q2593221), also known as WNBA: professional women's basketball league in the United States / is instance of basketball association / is instance of basketball league
3. National Basketball Association draft (wd:Q622521), also known as NBA draft: National Basketball Association annual event / is instance of recurring event / is subclass of draft
4. NBA Playoffs (wd:Q2265397, matched via National Basketball Association Playoffs), also known as National Basketball Association Playoffs: best-of-seven elimination tournament annually held after the NBA / is subclass of best-of-seven elimination tournament
5. National Basketball Players Association (wd:Q1627222), also known as NBPA: is instance of labour union / is instance of labor union / is instance of trade union / trade union
6. National Wheelchair Basketball Association (wd:Q12811067): organization in Colorado Springs, United States / is instance of non-profit organisation / is instance of non-profit organization / is instance of nonprofit organization / is instance of sports league
7. The League (wd:Q48851136, matched via Mongolian National Basketball Association), also known as Mongolian Basketball League, Mongolian National Basketball Association: Basketball league in Mongolia
8. WikiProject National Basketball Association (wd:Q8256083): Wikimedia subject-area collaboration / is instance of WikiProject
9. National Women's Basketball Association (wd:Q125470215): 1986 basketball league in the United States
10. National Basketball Referees Association (wd:Q15213691)

[Assistant]
Seasons seem to be items that are instances of 'season' and are seasons of the NBA (property P3450 or P361?). From previous search, property sports season of league or competition (P3450) indicates the competition an item (season) belongs to. I'll query all items that are seasons and have P3450 pointing to the NBA, and then get their winners via P1346 (winner). Then I can count winners per team and find which teams have won the most seasons. I'll craft a SPARQL query to:
- select ?team with count(?season) as ?wins
- where ?season wdt:P3450 wd:Q155223 ; wdt:P1346 ?team .
- group by ?team
- order by desc count, maybe limit top results.

I will include rdfs:label for team. I'll run the query.

[Tool]
Got 20 rows and 3 columns, showing the first 5 and last 5 rows below:
| team                               | wins         | teamLabel                  |
| ---------------------------------- | ------------ | -------------------------- |
| Los Angeles Lakers (wd:Q121783)    | 18 (xsd:int) | Los Angeles Lakers (en)    |
| Boston Celtics (wd:Q131371)        | 17 (xsd:int) | Boston Celtics (en)        |
| Chicago Bulls (wd:Q128109)         | 6 (xsd:int)  | Chicago Bulls (en)         |
| Golden State Warriors (wd:Q157376) | 6 (xsd:int)  | Golden State Warriors (en) |
| San Antonio Spurs (wd:Q159729)     | 5 (xsd:int)  | San Antonio Spurs (en)     |
| ...                                | ...          | ...                        |
| Dallas Mavericks (wd:Q132893)      | 1 (xsd:int)  | Dallas Mavericks (en)      |
| Washington Wizards (wd:Q169165)    | 1 (xsd:int)  | Washington Wizards (en)    |
| Toronto Raptors (wd:Q132880)       | 1 (xsd:int)  | Toronto Raptors (en)       |
| Seattle SuperSonics (wd:Q235326)   | 1 (xsd:int)  | Seattle SuperSonics (en)   |
| Baltimore Bullets (wd:Q2928124)    | 1 (xsd:int)  | Baltimore Bullets (en)     |

[Tool] Stopping


PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wikibase: <http://wikiba.se/ontology#>
PREFIX psv: <http://www.wikidata.org/prop/statement/value/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
SELECT ?cat ?catLabel ?heightAmount ?unit ?unitLabel ?appliesToPart WHERE {
  BIND( wd:Q4176 AS ?cat ) ?cat p:P2048 ?stmt .
  ?stmt psv:P2048 ?value .
  ?value wikibase:quantityAmount ?heightAmount ; wikibase:quantityUnit ?unit .
  OPTIONAL {
    ?stmt pq:P518 ?appliesToPart
  }
  OPTIONAL {
    ?cat rdfs:label ?catLabel FILTER ( LANG( ?catLabel ) = "en" )
  }
  OPTIONAL {
    ?unit rdfs:label ?unitLabel FILTER ( LANG( ?unitLabel ) = "en" )
  }
}

Using entities:
Cologne Cathedral (wd:Q4176), also known as High Cathedral of St. Peter

Using properties:
height (wd:P2048 as p/psv), also known as depth over terrain, heighth, size, P2048
applies to part (wd:P518 as pq), also known as applied to, applies to aspect, applies to form, applies to phase, apply to, etc.

Answer: Cologne Cathedral (wd:Q4176) has a height of 157 (xsd:decimal) with unit metre (wd:Q11573). The statement includes the qualifier that this measurement applies to the bell tower (wd:Q200334).

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[User] How high is the Cologne Cathedral ?

[Assistant] I will first search for the Wikidata entity for "Cologne Cathedral" to get its identifier, then inspect relevant properties (height) and build a SPARQL query that returns the cathedral's height value and unit. I'll run searches and show my reasoning before and after each tool call.

[Tool]
Top 10 entity alternatives:
1. Cologne Cathedral (wd:Q4176), also known as High Cathedral of St. Peter: Roman-Catholic cathedral in Cologne, Germany / is instance of tourist attraction / is instance of Catholic cathedral / is instance of church building / is instance of church
2. Cologne Cathedral (wd:Q20891184): painting by Oskar Kokoschka / painting by Oskar Kokoschka / is instance of painting
3. Cologne Cathedral Seal (wd:Q1795817): part of Cologne Cathedral
4. Baptistry Cologne Cathedral (wd:Q106498805): is instance of church building / is instance of church
5. Cologne Cathedral, 1869 (wd:Q119111134): painting by James Webb (1835–1895), Bristol Museum & Art Gallery / is instance of painting
6. Finials of Cologne Cathedral (wd:Q1408999): is instance of Work of art / is instance of work of art / cologne cathedral
7. Bells of Cologne Cathedral (wd:Q1795814): is instance of church bell
8. Organs of Cologne Cathedral (wd:Q7102106), also known as Organs in Cologne Cathedral: is instance of set
9. The Beggar from Cologne Cathedral (wd:Q15241065, matched via Beggar from Cologne Cathedral), also known as Beggar from Cologne Cathedral: 1927 film by Rolf Randolf / is instance of film
10. Surroundings of Cologne Cathedral (wd:Q65233962): is instance of pedestrian zone / cologne Cathedral surroundings

[Assistant] I'll search for the property for "height" on Wikidata to confirm the property identifier used for heights (meters).

[Tool]
Top 10 property alternatives:
1. clearance (wd:P2793 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via height), also known as air draft, air draught, bridge height, clearance below, deck height, etc.: distance between surface under bridge and bottom of a bridge deck / distance between surface and bottom of a bridge deck
2. height (wd:P2048 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as depth over terrain, heighth, size, P2048: vertical dimension of an entity / vertical length of an entity / is subproperty of length
3. elevation above sea level (wd:P2044 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via height), also known as altitude, AMSL, EASL, elevation, elevation above mean sea level, etc.: height of the item (geographical object) as measured relative to sea level / height of the item as measured relative to sea level / height of the item as measured relative to sea level
4. highest point (wd:P610 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as elevation of highest point, extreme point highest, highest peak, pinnacle, summit, etc.: point with the highest elevation in the country, region, city, town, or area / point with highest elevation in the country, region, city or area / point with highest elevation in a region or path / is subproperty of has part(s) / is subproperty of has part
5. ride height (wd:P8594 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as ground clearance, P8594: ground clearance of vehicle or distance between the base of a vehicle tire and the lowest point
6. number of hits (wd:P9184 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via H), also known as career hits, career hits total, career total hits, H, hits, etc.: number of hits earned in a baseball career or game(s)
7. entry height (wd:P13238 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq), also known as P13238: height of the entrance above ground level for boarding vehicles
8. maximum operating altitude (wd:P2254 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via maximum altitude), also known as ceiling, maximum altitude, service ceiling, P2254: ceiling or maximum density altitude at which an aircraft can operate / is subproperty of elevation above sea level
9. precipitation height (wd:P3036 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via snow height), also known as amount of precipitation, amount of rain, amount of snow, precipitation amount, rain amount, etc.: maximum height of snow or rain during an event or space of time / maximum height of snow or rain during an event or space of time
10. director / manager (wd:P1037 as p/wdtn/pqn/pqv/wdt/prv/pr/ps/psn/prn/psv/pq, matched via head), also known as boss, chief, director, director general, general manager, etc.: person who manages any kind of group or organisation / is subproperty of significant person / person who manages any kind of group / person who manages any kind of group

[Assistant] I'll check which triples exist for Cologne Cathedral (wd:Q4176) with the direct property for height (wdt:P2048) to see how the value is represented. I'll call the list function to retrieve them.

[Tool]
Got 1 row and 3 columns:
| subject                      | property           | object            |
| ---------------------------- | ------------------ | ----------------- |
| Cologne Cathedral (wd:Q4176) | height (wdt:P2048) | 157 (xsd:decimal) |

[Assistant] I'll inspect the statement-level property p:P2048 for Cologne Cathedral to retrieve the quantity node and its unit. I'll call list for subject wd:Q4176 and property p:P2048.

[Tool]
Got 1 row and 3 columns:
| subject                      | property         | object                                       |
| ---------------------------- | ---------------- | -------------------------------------------- |
| Cologne Cathedral (wd:Q4176) | height (p:P2048) | s:Q4176-8bb8b458-482f-fbdc-d97d-329eead76a6c |

[Assistant] Now I'll list the detailed statement node s:Q4176-8bb8b458-482f-fbdc-d97d-329eead76a6c to see qualifiers and unit information.

[Tool]
Got 8 rows and 3 columns:
| subject                                      | property                  | object                                       |
| -------------------------------------------- | ------------------------- | -------------------------------------------- |
| s:Q4176-8bb8b458-482f-fbdc-d97d-329eead76a6c | height (ps:P2048)         | 157 (xsd:decimal)                            |
| s:Q4176-8bb8b458-482f-fbdc-d97d-329eead76a6c | applies to part (pq:P518) | bell tower (wd:Q200334)                      |
| s:Q4176-8bb8b458-482f-fbdc-d97d-329eead76a6c | wikibase:rank             | wikibase:NormalRank                          |
| s:Q4176-8bb8b458-482f-fbdc-d97d-329eead76a6c | rdf:type                  | wikibase:BestRank                            |
| s:Q4176-8bb8b458-482f-fbdc-d97d-329eead76a6c | prov:wasDerivedFrom       | ref:fa278ebfc458360e5aed63d5058cca83c46134f1 |
| s:Q4176-8bb8b458-482f-fbdc-d97d-329eead76a6c | height (psn:P2048)        | v:6a44f66cc4131f3431e24d71e47edcf9           |
| s:Q4176-8bb8b458-482f-fbdc-d97d-329eead76a6c | height (psv:P2048)        | v:6a44f66cc4131f3431e24d71e47edcf9           |
| s:Q4176-8bb8b458-482f-fbdc-d97d-329eead76a6c | rdf:type                  | wikibase:Statement                           |

[Assistant] I'll inspect the value node v:6a44f66cc4131f3431e24d71e47edcf9 referenced by psv:P2048 to see if it contains unit information. I'll call the list tool for that subject. I will explain this step: I expect the value node to contain properties like wikibase:quantityAmount and wikibase:quantityUnit that give the amount and unit (meter).

[Tool]
Got 4 rows and 3 columns:
| subject                            | property                    | object                             |
| ---------------------------------- | --------------------------- | ---------------------------------- |
| v:6a44f66cc4131f3431e24d71e47edcf9 | wikibase:quantityUnit       | metre (wd:Q11573)                  |
| v:6a44f66cc4131f3431e24d71e47edcf9 | wikibase:quantityAmount     | 157 (xsd:decimal)                  |
| v:6a44f66cc4131f3431e24d71e47edcf9 | wikibase:quantityNormalized | v:6a44f66cc4131f3431e24d71e47edcf9 |
| v:6a44f66cc4131f3431e24d71e47edcf9 | rdf:type                    | wikibase:QuantityValue             |

[Assistant] I'll run a SPARQL SELECT that retrieves the Cologne Cathedral item, the measured height amount and the unit IRI (and optional labels). This query uses the statement/value node pattern to get the unit (metre) rather than only the numeric wdt property. Now I'll execute the query.

[Tool]
Got 1 row and 6 columns:
| cat                          | catLabel               | heightAmount      | unit              | unitLabel  | appliesToPart           |
| ---------------------------- | ---------------------- | ----------------- | ----------------- | ---------- | ----------------------- |
| Cologne Cathedral (wd:Q4176) | Cologne Cathedral (en) | 157 (xsd:decimal) | metre (wd:Q11573) | metre (en) | bell tower (wd:Q200334) |

[Assistant] I'll provide the final SPARQL query I executed and the answer. The query returns the cathedral item, the height amount, the unit IRI, and (optionally) the part the measurement applies to (the bell tower). I already executed this query and verified the result. Now I will finalize with the same query and the answer.

[Tool] Stopping