PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?established WHERE {
  wd:Q220015 wdt:P571 ?established
}

The magazine Weekly Shōnen Jump was established on January 1, 1968.

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

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

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

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

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

[User] when was the magazine in which hunter x hunter is published established?

[Assistant]
To answer this question, we need to identify the magazine in which Hunter x Hunter is published and then find out when that magazine was established. Let's start by searching for the magazine associated with Hunter x Hunter.

First, I will search for the series "Hunter x Hunter" and then look for the magazine it is published in.

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

No other items found

[Assistant]
The top result for "Hunter x Hunter" is the Japanese manga series (wd:Q696071). Now, let's find out the magazine in which this manga series is published.

I will search for the property that indicates the magazine in which a manga series is published and then use that property to find the specific magazine for Hunter x Hunter.

Let's first list some examples of the "published in" property to understand how it is used.

[Tool]
Got more than 131,072 rows and 3 columns, showing the first 10 rows below:
| subject                                                                             | property                 | object                               |
| ----------------------------------------------------------------------------------- | ------------------------ | ------------------------------------ |
| Linus and Family (wd:Q100257523)                                                    | published in (wdt:P1433) | 2020 (wd:Q25337)                     |
| Wikibooks book (wd:Q100510764)                                                      | published in (wdt:P1433) | Wikibooks (wd:Q367)                  |
| THE MEDIA BUSINESS; For New York Magazine, a Push to the Past (wd:Q100268934)       | published in (wdt:P1433) | The New York Times (wd:Q9684)        |
| Understanding how ‘overdispersio...orks is key to controlling Covid (wd:Q100628463) | published in (wdt:P1433) | The Guardian (wd:Q11148)             |
| How Japan Beat Coronavirus Without Lockdowns (wd:Q100369786)                        | published in (wdt:P1433) | The Wall Street Journal (wd:Q164746) |
| corrections (wd:Q100349867)                                                         | published in (wdt:P1433) | poster (wd:Q429785)                  |
| unitedstates/congress-legislators (wd:Q100533867)                                   | published in (wdt:P1433) | GitHub (wd:Q364)                     |
| Covid-19: how some patients become superspreaders (wd:Q100370118)                   | published in (wdt:P1433) | Le Monde (wd:Q12461)                 |
| How to digitize your lab notebooks (wd:Q100307380)                                  | published in (wdt:P1433) | Nature (wd:Q180445)                  |
| South Korea-style 'backward trac...nt Covid 'super spreader' events (wd:Q100270405) | published in (wdt:P1433) | The Daily Telegraph (wd:Q192621)     |
| ...                                                                                | ...                      | ...                                  |

[Assistant]
The property `wdt:P1433` (published in) seems to be the correct property to find the magazine in which a work is published. Now, let's use this property to find the magazine in which the manga series "Hunter x Hunter" (wd:Q696071) is published.

I will execute a SPARQL query to find the magazine.

[Tool]
Got 1 row and 1 column:
| ?magazine                       |
| ------------------------------- |
| Weekly Shōnen Jump (wd:Q220015) |

[Assistant]
The magazine in which "Hunter x Hunter" is published is Weekly Shōnen Jump (wd:Q220015). Now, let's find out when this magazine was established.

I will search for the property that indicates the establishment date of a magazine and then use that property to find the establishment date of Weekly Shōnen Jump.

Let's first list some examples of the "inception" property to understand how it is used.

[Tool]
Got more than 131,072 rows and 3 columns, showing the first 10 rows below:
| subject               | property             | object               |
| --------------------- | -------------------- | -------------------- |
| Nigeria (wd:Q1033)    | inception (wdt:P571) | 1963-10-01T00:00:00Z |
| Libya (wd:Q1016)      | inception (wdt:P571) | 1551-08-25T00:00:00Z |
| Sudan (wd:Q1049)      | inception (wdt:P571) | 1956-01-01T00:00:00Z |
| Morocco (wd:Q1028)    | inception (wdt:P571) | 0789-01-01T00:00:00Z |
| Somalia (wd:Q1045)    | inception (wdt:P571) | 1960-01-01T00:00:00Z |
| Namibia (wd:Q1030)    | inception (wdt:P571) | 1990-01-01T00:00:00Z |
| Uganda (wd:Q1036)     | inception (wdt:P571) | 1962-01-01T00:00:00Z |
| Mauritania (wd:Q1025) | inception (wdt:P571) | 1960-11-28T00:00:00Z |
| Mozambique (wd:Q1029) | inception (wdt:P571) | 1975-06-25T00:00:00Z |
| The Gambia (wd:Q1005) | inception (wdt:P571) | 1965-01-01T00:00:00Z |
| ...                   | ...                  | ...                  |

[Assistant]
The property `wdt:P571` (inception) seems to be the correct property to find the establishment date of a magazine. Now, let's use this property to find the establishment date of Weekly Shōnen Jump (wd:Q220015).

I will execute a SPARQL query to find the establishment date.

[Tool]
Got 1 row and 1 column:
| ?established         |
| -------------------- |
| 1968-01-01T00:00:00Z |

[Assistant]
The magazine Weekly Shōnen Jump, in which "Hunter x Hunter" is published, was established on January 1, 1968.

Here is the final SPARQL query and answer:

```sparql
SELECT ?established WHERE {
  wd:Q220015 wdt:P571 ?established
}
```

Answer: The magazine Weekly Shōnen Jump was established on January 1, 1968.

[Tool] Stopped generation process