PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?youtuber ?youtuberLabel ?youtubeChannelID ?followers WHERE {
  ?youtuber wdt:P106 wd:Q15143191 .
  ?youtuber wdt:P2397 ?youtubeChannelID .
  OPTIONAL {
    ?youtuber wdt:P8687 ?followers .
  }
  FILTER NOT EXISTS {
    ?youtuber wdt:P18 []
  }
  OPTIONAL {
    ?youtuber rdfs:label ?youtuberLabel .
    FILTER ( LANG( ?youtuberLabel ) = 'en' )
  }
}
ORDER BY DESC ( ?followers )

Got 25 rows and 4 columns, showing the first 5 and last 5 rows below:
| ?youtuber                             | ?youtuberLabel         | ?youtubeChannelID        | ?followers |
| ------------------------------------- | ---------------------- | ------------------------ | ---------- |
| Dave Farina (wd:Q119215574)           | Dave Farina            | UC0cd_-e49hZpWLH3UIwoWRA | 2500000    |
| Rocío Vidal (wd:Q105038628)           | Rocío Vidal            | UCoXtmmnLCbXDiSo8GxsmOzA | 871000     |
| Thibaut Giraud (wd:Q101094343)        | Thibaut Giraud         | UCqA8H22FwgBVcF3GJpp0MQw | 334000     |
| Bibi Bailas (wd:Q106545483)           | Bibi Bailas            | UCmiptCNi7GR1P0H6bp9y0lQ | 308000     |
| Vincenzo Schettini (wd:Q114809882)    | Vincenzo Schettini     | UCc_SJNc1V5ghzvljj7j-zKA | 304000     |
| ...                                   | ...                    | ...                      | ...        |
| Kakapo Kitashirakawa (wd:Q118213902)  | Kakapo Kitashirakawa   | UCEoAD_2jSLoYQd2MJZxWuxQ | 6070       |
| Melanie Trecek-King (wd:Q122489248)   | Melanie Trecek-King    | UCJpiqaKfX3bEPkN5MD8SLOQ |            |
| Lucky Tran (wd:Q126599193)            | Lucky Tran             | UCQ4rDL9D2Vjzsj-l_XwX9zQ |            |
| Mario Peláez-Fernández (wd:Q65073470) | Mario Peláez-Fernández | UCipVtSaV6OOKk8VTMcHt71Q |            |
| Dariusz Aksamit (wd:Q72151849)        | Dariusz Aksamit        | UC6hohNxUfFI9AqnMbLoKhyg |            |

The YouTubers who are also science communicators and do not have an image, along with their YouTube channel IDs and number of social media followers (if available), ordered by the number of social media followers in descending order, are as follows:

| YouTuber                             | YouTube Channel ID        | Number of Followers |
| ------------------------------------ | ------------------------- | ------------------- |
| Dave Farina                          | UC0cd_-e49hZpWLH3UIwoWRA | 2,500,000           |
| Rocío Vidal                        | UCoXtmmnLCbXDiSo8GxsmOzA | 871,000             |
| Thibaut Giraud                       | UCqA8H22FwgBVcF3GJpp0MQw | 334,000             |
| Bibi Bailas                          | UCmiptCNi7GR1P0H6bp9y0lQ | 308,000             |
| Vincenzo Schettini                   | UCc_SJNc1V5ghzvljj7j-zKA | 304,000             |
| ...                                  | ...                      | ...                 |
| Kakapo Kitashirakawa                 | UCEoAD_2jSLoYQd2MJZxWuxQ | 6,070               |
| Melanie Trecek-King                  | UCJpiqaKfX3bEPkN5MD8SLOQ | -                   |
| Lucky Tran                           | UCQ4rDL9D2Vjzsj-l_XwX9zQ | -                   |
| Mario Peláez-Fernández          | UCipVtSaV6OOKk8VTMcHt71Q | -                   |
| Dariusz Aksamit                      | UC6hohNxUfFI9AqnMbLoKhyg | -                   |

[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] Who are the YouTubers who are also science communicators and do not have an image? Include their YouTube channel ID and number of social media followers if available, and order by the number of social media followers in descending order.

[Assistant] To construct the SPARQL query, I need to identify the relevant entities and properties. Let's start by searching for the entity "science communicator" and the property "YouTube channel ID".

[Tool]
Top 10 entity alternatives:
1. science communicator, also known as scientific popularizer, science popularizer, SciComm'er, popularizer of science, populariser of science (wd:Q15143191): person who explains science to non-experts and the public
2. The science communicator (wd:Q73972391): journal article; published in Nature on 2008-12-17
3. Science Communicator Medal (wd:Q106706041): science award in New Zealand
4. Dante Alighieri Science Communicator (wd:Q115869045): scholarly article published on Substantia in 2021
5. Foundation for Research Science ...ology Science Communicator Award, also known as FRS&T Science Communicator Award, FRST Science Communicator Award (wd:Q106706036): science award in New Zealand
6. International Union for Science Communicators (wd:Q6054094): professional science organization
7. Lars Lindberg Christensen, also known as The Hands-On Guide for Science Communicators (wd:Q6491614): Danish astronomer (b.1970), science communicator, astronomer, writer
8. Television Weathercasters as Environmental Science Communicators (wd:Q58066203)
9. science, also known as general science, empirical sciences, scientific knowledge, sciences (wd:Q336): systematic endeavor that builds and organizes knowledge, and the set of knowledge produced by this system
10. Science, also known as sciencemag.org/, science.org, Sci. (N. Y., N. Y.), Science Magazine (wd:Q192864): academic journal of the American Association for the Advancement of Science

No other items found

[Tool]
Top 10 property alternatives:
1. YouTube channel ID, also known as YouTube account, YouTube channel, YouTube channel identifier, official YouTube channel, youtube.com/channel/ (wd:P2397 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): ID of the YouTube channel of a person or organisation (not to be...f the channel) The ID can also be used for music.youtube.com IDs, website username or ID
2. YouTube video ID, also known as YT video ID, streaming url, yt video, Youtube video website, YouTube video link (wd:P1651 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): identifier of a video on YouTube; qualify trailers with "object ...er" (Q622550). For channels, use P2397; for playlists, use P4300, streaming media URL
3. YouTube handle, also known as https://www.youtube.com/@, YT handle, YT @, YouTube username, youtube.com/@ (wd:P11245 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): unique identifier of a person, organization or channel on YouTube; do not include the "@" symbol, website username or ID
4. Rutube channel ID, also known as Rutube ID (wd:P10152 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): identifier of a RUTUBE channel of a person or organisation (not to be confused with the name of the channel)
5. Twitch channel ID, also known as Twitch username, Twitch.tv channel ID, Twitch ID (wd:P5797 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): ID of a Twitch channel, website username or ID
6. YouTube playlist ID, also known as playlist YouTube, YouTube Music Playlist ID, YT playlist (wd:P4300 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): identifier for a playlist (official) on YouTube containing videos for this item
7. Dailymotion channel ID, also known as Dailymotion ID (wd:P2942 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): identifier of the Dailymotion channel of a person, or organization, website username or ID
8. RedTube ID (wd:P5540 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): identifier for an adult performer in the database of the RedTube website
9. Instagram post ID, also known as IG post ID, IG reels ID, IG stories ID, IG story ID, IG video ID (wd:P11036 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): identifier for a post on Instagram
10. IMVDb music video ID, also known as IMVDb, IMVDb ID, Internet Music Video Database video ID (wd:P8776 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): identifier for a music video the on IMVDb online database

No other items found

[Assistant]
From the search results, it appears that the entity "science communicator" is represented by `wd:Q15143191` and the property "YouTube channel ID" is represented by `wdt:P2397`.

Next, I need to find the property for "number of social media followers". Let's search for that property.

[Tool]
Top 10 property alternatives:
1. number of subscribers, also known as number of followers, subscriptions, subscription count, subscribers, subscriber number (wd:P3744 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): number of subscribers for subscription-based companies, e.g. tel...unication companies, newspapers, pay-TV channels, software, etc.
2. social media followers, also known as number of subs, number of subscribers, sub count, sub number, subscriber number (wd:P8687 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): number of subscribers on a particular social media website (use ... in time" and property for account. For Twitter, use numeric id.
3. number of likes, also known as post likes, post reaction count, post reactions, post upvote count, post upvotes (wd:P10649 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): number of likes, favorites, stars, upvotes, or reactions received on a social media post or profile
4. website account on, also known as account on, has account on website, social media account on, user account on (wd:P553 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): website that the person or organization has an account on (use w...h reliable source or if the person or organization disclosed it.
5. number of reblogs, also known as shares, share count, RTs, RT count, retweets (wd:P10756 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): number of reblogs, reposts, retweets, crossposts, or on-platform shares received on a social media post
6. website username or ID, also known as user name, website username, website ID, username in social media, username (wd:P554 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): username or identifier on a website that the person or movement ... account on, for use as qualifier of "website account on" (P553)
7. number of viewers/listeners, also known as plays, watches, watch count, views, view number (wd:P5436 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): number of viewers of a television or broadcasting program; web traffic on websites
8. number of registered users/contributors, also known as number of contributors, number of registered users, number of users, users (wd:P1833 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): number of registered users on a website
9. patronage, also known as passengers, visitors, users, ridership, riders (wd:P3872 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): number of passengers, patrons or visitors in specified time period
10. number of comments, also known as comments count, reply count, replies, number of replies, comments (wd:P10651 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): number of comments or replies received on a social media post

No other items found

[Assistant]
The property "number of social media followers" is represented by `wdt:P8687`. Now, I need to construct a SPARQL query to find YouTubers who are also science communicators and do not have an image. Additionally, I will include their YouTube channel ID and number of social media followers if available, and order the results by the number of social media followers in descending order.

Let's start with a basic query and then refine it as needed.

[Tool]
SPARQL execution failed:
Assertion `variablesAreDisjoint` failed. Please report this to the developers. In file "/qlever/src/engine/CartesianProductJoin.cpp " at line 39

[Assistant]
It seems that the SPARQL query encountered an issue due to the use of the `SERVICE wikibase:label` clause, which is not supported by the QLever endpoint. I will remove this clause and instead use `rdfs:label` to get the labels. Let's try the query again without the unsupported clause.

Here is the revised query:

```sparql
SELECT ?youtuber ?youtuberLabel ?youtubeChannelID ?followers WHERE {
  ?youtuber wdt:P106 wd:Q15143191 .
  ?youtuber wdt:P2397 ?youtubeChannelID .
  OPTIONAL { ?youtuber wdt:P8687 ?followers . }
  FILTER NOT EXISTS { ?youtuber wdt:P18 [] }
  OPTIONAL { ?youtuber rdfs:label ?youtuberLabel . FILTER(LANG(?youtuberLabel) = 'en') }
} ORDER BY DESC(?followers)
```

Let's execute this query.

[Tool]
Got 25 rows and 4 columns, showing the first 5 and last 5 rows below:
| ?youtuber                             | ?youtuberLabel         | ?youtubeChannelID        | ?followers |
| ------------------------------------- | ---------------------- | ------------------------ | ---------- |
| Dave Farina (wd:Q119215574)           | Dave Farina            | UC0cd_-e49hZpWLH3UIwoWRA | 2500000    |
| Rocío Vidal (wd:Q105038628)           | Rocío Vidal            | UCoXtmmnLCbXDiSo8GxsmOzA | 871000     |
| Thibaut Giraud (wd:Q101094343)        | Thibaut Giraud         | UCqA8H22FwgBVcF3GJpp0MQw | 334000     |
| Bibi Bailas (wd:Q106545483)           | Bibi Bailas            | UCmiptCNi7GR1P0H6bp9y0lQ | 308000     |
| Vincenzo Schettini (wd:Q114809882)    | Vincenzo Schettini     | UCc_SJNc1V5ghzvljj7j-zKA | 304000     |
| ...                                   | ...                    | ...                      | ...        |
| Kakapo Kitashirakawa (wd:Q118213902)  | Kakapo Kitashirakawa   | UCEoAD_2jSLoYQd2MJZxWuxQ | 6070       |
| Melanie Trecek-King (wd:Q122489248)   | Melanie Trecek-King    | UCJpiqaKfX3bEPkN5MD8SLOQ |            |
| Lucky Tran (wd:Q126599193)            | Lucky Tran             | UCQ4rDL9D2Vjzsj-l_XwX9zQ |            |
| Mario Peláez-Fernández (wd:Q65073470) | Mario Peláez-Fernández | UCipVtSaV6OOKk8VTMcHt71Q |            |
| Dariusz Aksamit (wd:Q72151849)        | Dariusz Aksamit        | UC6hohNxUfFI9AqnMbLoKhyg |            |

[Assistant]
The SPARQL query has successfully returned the desired results. Here are the YouTubers who are also science communicators and do not have an image, along with their YouTube channel IDs and number of social media followers (if available), ordered by the number of social media followers in descending order:

| YouTuber                             | YouTube Channel ID        | Number of Followers |
| ------------------------------------ | ------------------------- | ------------------- |
| Dave Farina                          | UC0cd_-e49hZpWLH3UIwoWRA | 2,500,000           |
| Rocío Vidal                          | UCoXtmmnLCbXDiSo8GxsmOzA | 871,000             |
| Thibaut Giraud                       | UCqA8H22FwgBVcF3GJpp0MQw | 334,000             |
| Bibi Bailas                          | UCmiptCNi7GR1P0H6bp9y0lQ | 308,000             |
| Vincenzo Schettini                   | UCc_SJNc1V5ghzvljj7j-zKA | 304,000             |
| ...                                  | ...                      | ...                 |
| Kakapo Kitashirakawa                 | UCEoAD_2jSLoYQd2MJZxWuxQ | 6,070               |
| Melanie Trecek-King                  | UCJpiqaKfX3bEPkN5MD8SLOQ | -                   |
| Lucky Tran                           | UCQ4rDL9D2Vjzsj-l_XwX9zQ | -                   |
| Mario Peláez-Fernández               | UCipVtSaV6OOKk8VTMcHt71Q | -                   |
| Dariusz Aksamit                      | UC6hohNxUfFI9AqnMbLoKhyg | -                   |

I will now provide the final SPARQL query and the answer.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?game ?gameLabel ?developer ?publisher ?publicationDate WHERE {
  ?game wdt:P136 wd:Q744038 .
  OPTIONAL {
    ?game rdfs:label ?gameLabel .
    FILTER ( LANG( ?gameLabel ) = "en" )
  }
  OPTIONAL {
    ?game wdt:P178 ?developer .
  }
  OPTIONAL {
    ?game wdt:P123 ?publisher .
  }
  OPTIONAL {
    ?game wdt:P577 ?publicationDate .
  }
}
ORDER BY ?gameLabel
LIMIT 100

The SPARQL query retrieves role-playing video games along with their developers, publishers, and publication dates. The results are ordered by the game label and limited to 100 entries.

[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] Which items are role-playing video games? Include their developers, publishers, and publication dates, if available.

[Assistant]
To answer this question, I need to identify the items that are role-playing video games and then find their developers, publishers, and publication dates. I will start by searching for the property that indicates a game is a role-playing video game.

I will search for the property "role-playing video game" and see if it is used in the knowledge graph.

[Tool]
Top 10 property alternatives:
1. part of the series, also known as series, video game series, subseries, part of series, listed in (wd:P179 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): series which contains the subject, part of
2. RPG Site game ID (wd:P11418 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): identifier of a video game in the RPG Site database
3. game mode, also known as player mode, play mode, player configuration, mode, gameplay (wd:P404 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): video game's available playing mode(s), has use
4. game mechanics, also known as game rules, has game mechanic, ruleset, uses game mechanic (wd:P4151 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): constructs of rules or methods designed for interaction with the game state, uses
5. software version identifier, also known as software release number, software version number, software release version, software update identifier, software update number (wd:P348 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): numeric or nominal identifier of a version of a software program or file format, current or past, has edition or translation, edition number
6. RPGFan game ID (wd:P12237 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): identifier of a video game in the RPGFan database
7. RPGGeek ID, also known as RPG Geek ID (wd:P7226 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): ID for a tabletop role-playing games, designer or publisher or a family of TTRPG at RPGGeek
8. platform, also known as computing platform, runtime, published on, platforms, hardware (wd:P400 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): platform for which a work was developed or released, or the specific platform version of a software product
9. RPGWatch game ID, also known as RPGW game ID (wd:P12249 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): identifier of a video game in the RPGWatch database
10. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as prv/psv/ps/p/psn/pr/pq/wdt/pqv/wdtn/pqn/prn): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software

No other items found

[Assistant]
It seems that there is no direct property for "role-playing video game." However, I can try to find items that are instances of role-playing video games by searching for the class "role-playing video game."

I will search for the class "role-playing video game" and see if it exists in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. role-playing video game, also known as role playing video games, RP video game, RPVG, RPG videogame, RPG video game (wd:Q744038): video game genre
2. action role-playing game, also known as ARPG, action/RPG, action RPG, action role-playing video game, action-RPG (wd:Q1422746): subgenre of role-playing and action video games
3. gamer, also known as player, video game player, video gamer, video role-playing game player, video RPG player (wd:Q5276395): person who plays video games and/or identifies with the gamer identity
4. tactical role-playing game, also known as RSLG, simulation RPGs, SRPG, strategic roleplaying game, strategy role-playing game (wd:Q1529437): video game genre
5. Japanese role-playing video game, also known as Japanese role-playing game, JRPG (wd:Q5923834): video game genre
6. turn-based role-playing game, also known as turn-based RPG, turn-based roleplaying game, turn-based role-playing video game (wd:Q105906396): genre of roleplaying games where players take turns when playing
7. side-scrolling role-playing video game, also known as side-scrolling RPG, side-scrolling role-playing game, side-scroller RPG (wd:Q107631040): video game genre
8. Western role-playing game, also known as Western role-playing video games, Western RPG, WRPG (wd:Q61654424): video game subgenre
9. history of Western role-playing video games, also known as history of Western RPGs, Western role-playing video games history (wd:Q5867207): aspect of history
10. chronology of tactical role-playing video games (wd:Q16968506)

No other items found

[Assistant]
The search returned "role-playing video game" (wd:Q744038) as the top result, which is the class I am looking for. Now, I will construct a SPARQL query to find items that are instances of this class and retrieve their developers, publishers, and publication dates.

I will start with a basic query to find the items and their labels, and then gradually add the additional information.

Let's begin with the basic query:

```sparql
SELECT ?game ?gameLabel
WHERE {
  ?game wdt:P31 wd:Q744038 .
  OPTIONAL { ?game rdfs:label ?gameLabel . FILTER(LANG(?gameLabel) = "en") }
}
LIMIT 10
```

This query will return the first 10 role-playing video games and their labels. I will execute this query to see the results.

[Tool]
Got 1 row and 2 columns:
| ?game                   | ?gameLabel |
| ----------------------- | ---------- |
| Xeonjia (wd:Q111168061) | Xeonjia    |

[Assistant]
The initial query returned one role-playing video game, "Xeonjia." Now, I will extend the query to include the developers, publishers, and publication dates of these games.

I will use the following properties:
- `wdt:P178` for developer
- `wdt:P123` for publisher
- `wdt:P577` for publication date

Here is the extended query:

```sparql
SELECT ?game ?gameLabel ?developer ?publisher ?publicationDate
WHERE {
  ?game wdt:P31 wd:Q744038 .
  OPTIONAL { ?game rdfs:label ?gameLabel . FILTER(LANG(?gameLabel) = "en") }
  OPTIONAL { ?game wdt:P178 ?developer . }
  OPTIONAL { ?game wdt:P123 ?publisher . }
  OPTIONAL { ?game wdt:P577 ?publicationDate . }
}
LIMIT 10
```

I will execute this query to see the results.

[Tool]
Got 1 row and 5 columns:
| ?game                   | ?gameLabel | ?developer | ?publisher | ?publicationDate |
| ----------------------- | ---------- | ---------- | ---------- | ---------------- |
| Xeonjia (wd:Q111168061) | Xeonjia    |            |            |                  |

[Assistant]
The query returned one role-playing video game, "Xeonjia," but it did not provide any information about the developer, publisher, or publication date. This suggests that the data for these properties might be incomplete or missing for this particular game.

To ensure that we are getting a more comprehensive list, I will increase the limit to 50 and check if there are other games with more complete information.

Here is the updated query:

```sparql
SELECT ?game ?gameLabel ?developer ?publisher ?publicationDate
WHERE {
  ?game wdt:P31 wd:Q744038 .
  OPTIONAL { ?game rdfs:label ?gameLabel . FILTER(LANG(?gameLabel) = "en") }
  OPTIONAL { ?game wdt:P178 ?developer . }
  OPTIONAL { ?game wdt:P123 ?publisher . }
  OPTIONAL { ?game wdt:P577 ?publicationDate . }
}
LIMIT 50
```

I will execute this query to see the results.

[Tool]
Got 1 row and 5 columns:
| ?game                   | ?gameLabel | ?developer | ?publisher | ?publicationDate |
| ----------------------- | ---------- | ---------- | ---------- | ---------------- |
| Xeonjia (wd:Q111168061) | Xeonjia    |            |            |                  |

[Assistant]
The query still only returned one role-playing video game, "Xeonjia," and it did not provide any information about the developer, publisher, or publication date. This suggests that the data for these properties might be sparse or missing for many role-playing video games in the knowledge graph.

To further investigate, I will try to find a few more specific examples of role-playing video games and check if they have the required information. I will search for some well-known role-playing video games and see if they have the developer, publisher, and publication date information.

Let's search for "Final Fantasy" and "The Elder Scrolls" as examples:

### Search for "Final Fantasy"
```sparql
SEARCH kg="wikidata" position="subject" query="Final Fantasy"
```

### Search for "The Elder Scrolls"
```sparql
SEARCH kg="wikidata" position="subject" query="The Elder Scrolls"
```

I will execute these searches to find the specific items and then check their properties.

[Tool]
Top 10 entity alternatives:
1. Final Fantasy, also known as FF, Final Fantasy franchise (wd:Q12391356): media franchise
2. Final Fantasy XII, also known as Final Fantasy, Final Fantasy game, Final Fantasy xii, Final Fantasy xii game, Final Fantasy XII game (wd:Q327594): 2006 video game
3. Final Fantasy, also known as FF, FF1, Final Fantasy 1, Final Fantasy I (wd:Q1415970): 1987 role-playing video game originally for the NES
4. Final Fantasy: The Spirits Within, also known as FINAL FANTASY (wd:Q752541): 2001 computer-animated film directed by Hironobu Sakaguchi
5. Final Fantasy: Legend of the Crystals, also known as Final Fantasy, Legend of the Crystals (wd:Q2568665): Japanese original video animation series
6. Final Fantasy (wd:Q5449385): 2005 studio album by Leo Ku
7. Final Fantasy (wd:Q12579914): 2006 compilation album by 015B
8. Final Fantasy (wd:Q17025567): 2005 studio album by Energy
9. Final Fantasy (wd:Q99416119): video game series
10. Final Fantasy VII, also known as Final Fantasy Seven, FFVII, FF7, Final Fantasy 7 (wd:Q214232): 1997 video game

No other items found

[Assistant]
The search for "Final Fantasy" returned several results, including the original "Final Fantasy" game (wd:Q1415970) and "Final Fantasy VII" (wd:Q214232). I will focus on these two games to check if they have the required information.

### Check "Final Fantasy" (wd:Q1415970)
```sparql
SELECT ?game ?gameLabel ?developer ?publisher ?publicationDate
WHERE {
  VALUES ?game { wd:Q1415970 }
  OPTIONAL { ?game rdfs:label ?gameLabel . FILTER(LANG(?gameLabel) = "en") }
  OPTIONAL { ?game wdt:P178 ?developer . }
  OPTIONAL { ?game wdt:P123 ?publisher . }
  OPTIONAL { ?game wdt:P577 ?publicationDate . }
}
```

### Check "Final Fantasy VII" (wd:Q214232)
```sparql
SELECT ?game ?gameLabel ?developer ?publisher ?publicationDate
WHERE {
  VALUES ?game { wd:Q214232 }
  OPTIONAL { ?game rdfs:label ?gameLabel . FILTER(LANG(?gameLabel) = "en") }
  OPTIONAL { ?game wdt:P178 ?developer . }
  OPTIONAL { ?game wdt:P123 ?publisher . }
  OPTIONAL { ?game wdt:P577 ?publicationDate . }
}
```

I will execute these queries to see the results.

[Tool]
Got 1 row and 5 columns:
| ?game                       | ?gameLabel    | ?developer          | ?publisher          | ?publicationDate     |
| --------------------------- | ------------- | ------------------- | ------------------- | -------------------- |
| Final Fantasy (wd:Q1415970) | Final Fantasy | Square (wd:Q739552) | Square (wd:Q739552) | 1987-12-18T00:00:00Z |

[Assistant]
The query for "Final Fantasy" (wd:Q1415970) returned the game along with its developer, publisher, and publication date. This confirms that the properties are available for some role-playing video games.

Now, let's check "Final Fantasy VII" (wd:Q214232) to see if it also has the required information.

### Check "Final Fantasy VII" (wd:Q214232)
```sparql
SELECT ?game ?gameLabel ?developer ?publisher ?publicationDate
WHERE {
  VALUES ?game { wd:Q214232 }
  OPTIONAL { ?game rdfs:label ?gameLabel . FILTER(LANG(?gameLabel) = "en") }
  OPTIONAL { ?game wdt:P178 ?developer . }
  OPTIONAL { ?game wdt:P123 ?publisher . }
  OPTIONAL { ?game wdt:P577 ?publicationDate . }
}
```

I will execute this query to see the results.

[Tool]
Got 18 rows and 5 columns, showing the first 5 and last 5 rows below:
| ?game                          | ?gameLabel        | ?developer          | ?publisher               | ?publicationDate     |
| ------------------------------ | ----------------- | ------------------- | ------------------------ | -------------------- |
| Final Fantasy VII (wd:Q214232) | Final Fantasy VII | Square (wd:Q739552) | Square Enix (wd:Q207784) | 1997-01-31T00:00:00Z |
| Final Fantasy VII (wd:Q214232) | Final Fantasy VII | Square (wd:Q739552) | Square Enix (wd:Q207784) | 1997-09-07T00:00:00Z |
| Final Fantasy VII (wd:Q214232) | Final Fantasy VII | Square (wd:Q739552) | Square Enix (wd:Q207784) | 1997-11-14T00:00:00Z |
| Final Fantasy VII (wd:Q214232) | Final Fantasy VII | Square (wd:Q739552) | Square Enix (wd:Q207784) | 1998-06-25T00:00:00Z |
| Final Fantasy VII (wd:Q214232) | Final Fantasy VII | Square (wd:Q739552) | Square Enix (wd:Q207784) | 2013-05-16T00:00:00Z |
| ...                            | ...               | ...                 | ...                      | ...                  |
| Final Fantasy VII (wd:Q214232) | Final Fantasy VII | Square (wd:Q739552) | Square (wd:Q739552)      | 2013-05-16T00:00:00Z |
| Final Fantasy VII (wd:Q214232) | Final Fantasy VII | Square (wd:Q739552) | Square (wd:Q739552)      | 2015-08-19T00:00:00Z |
| Final Fantasy VII (wd:Q214232) | Final Fantasy VII | Square (wd:Q739552) | Square (wd:Q739552)      | 2015-12-05T00:00:00Z |
| Final Fantasy VII (wd:Q214232) | Final Fantasy VII | Square (wd:Q739552) | Square (wd:Q739552)      | 2016-07-07T00:00:00Z |
| Final Fantasy VII (wd:Q214232) | Final Fantasy VII | Square (wd:Q739552) | Square (wd:Q739552)      | 2019-03-26T00:00:00Z |

[Assistant]
The query for "Final Fantasy VII" (wd:Q214232) returned multiple rows with different publication dates, indicating that the game has been released on various platforms and in different regions. This confirms that the properties are available and can provide detailed information.

Given this, I will now refine the original query to ensure it returns a more comprehensive list of role-playing video games with their developers, publishers, and publication dates. I will also remove the limit to see if there are more games with complete information.

Here is the refined query:

```sparql
SELECT ?game ?gameLabel ?developer ?publisher ?publicationDate
WHERE {
  ?game wdt:P31 wd:Q744038 .
  OPTIONAL { ?game rdfs:label ?gameLabel . FILTER(LANG(?gameLabel) = "en") }
  OPTIONAL { ?game wdt:P178 ?developer . }
  OPTIONAL { ?game wdt:P123 ?publisher . }
  OPTIONAL { ?game wdt:P577 ?publicationDate . }
}
ORDER BY ?gameLabel
LIMIT 100
```

I will execute this query to see the results.

[Tool]
Got 1 row and 5 columns:
| ?game                   | ?gameLabel | ?developer | ?publisher | ?publicationDate |
| ----------------------- | ---------- | ---------- | ---------- | ---------------- |
| Xeonjia (wd:Q111168061) | Xeonjia    |            |            |                  |

[Assistant]
The query still only returned one role-playing video game, "Xeonjia," and it did not provide any information about the developer, publisher, or publication date. This suggests that the data for these properties might be sparse or missing for many role-playing video games in the knowledge graph.

Given this, I will try a different approach to find more role-playing video games with complete information. Instead of using the instance-of property (`wdt:P31`), I will use the genre property (`wdt:P136`) to find games that are classified as role-playing video games.

Here is the updated query:

```sparql
SELECT ?game ?gameLabel ?developer ?publisher ?publicationDate
WHERE {
  ?game wdt:P136 wd:Q744038 .
  OPTIONAL { ?game rdfs:label ?gameLabel . FILTER(LANG(?gameLabel) = "en") }
  OPTIONAL { ?game wdt:P178 ?developer . }
  OPTIONAL { ?game wdt:P123 ?publisher . }
  OPTIONAL { ?game wdt:P577 ?publicationDate . }
}
ORDER BY ?gameLabel
LIMIT 100
```

I will execute this query to see the results.

[Tool]
Got 100 rows and 5 columns, showing the first 5 and last 5 rows below:
| ?game                                              | ?gameLabel                           | ?developer              | ?publisher                   | ?publicationDate     |
| -------------------------------------------------- | ------------------------------------ | ----------------------- | ---------------------------- | -------------------- |
| wd:Q11344939                                       |                                      |                         |                              | 2007-04-10T00:00:00Z |
| wd:Q106508506                                      |                                      |                         | Tencent Games (wd:Q39057776) |                      |
| wd:Q118143105                                      |                                      | Nuverse (wd:Q112306689) | Nuverse (wd:Q112306689)      | 2022-04-21T00:00:00Z |
| wd:Q11291114                                       |                                      |                         |                              | 2017-01-01T00:00:00Z |
| wd:Q109352302                                      |                                      |                         |                              | 2017-12-20T00:00:00Z |
| ...                                                | ...                                  | ...                     | ...                          | ...                  |
| Age of Pirates: Dead Man's Chest (wd:Q110703847)   | Age of Pirates: Dead Man's Chest     | Akella (wd:Q417230)     | Akella (wd:Q417230)          | 2007-09-21T00:00:00Z |
| Age of Pirates: Return of the Legend (wd:Q4234309) | Age of Pirates: Return of the Legend |                         | Akella (wd:Q417230)          | 2007-02-21T00:00:00Z |
| Age of Pirates: Secrets of Far Seas (wd:Q4234315)  | Age of Pirates: Secrets of Far Seas  |                         |                              | 2009-03-13T00:00:00Z |
| Aground (wd:Q109289802)                            | Aground                              |                         |                              | 2020-04-17T00:00:00Z |
| Aground (wd:Q109289802)                            | Aground                              |                         |                              | 2021-02-11T00:00:00Z |

[Assistant]
The query using the genre property (`wdt:P136`) returned 100 rows of role-playing video games, many of which have complete information about their developers, publishers, and publication dates. This approach seems to be more effective in finding the desired information.

Here is the final SPARQL query that retrieves role-playing video games along with their developers, publishers, and publication dates:

```sparql
SELECT ?game ?gameLabel ?developer ?publisher ?publicationDate
WHERE {
  ?game wdt:P136 wd:Q744038 .
  OPTIONAL { ?game rdfs:label ?gameLabel . FILTER(LANG(?gameLabel) = "en") }
  OPTIONAL { ?game wdt:P178 ?developer . }
  OPTIONAL { ?game wdt:P123 ?publisher . }
  OPTIONAL { ?game wdt:P577 ?publicationDate . }
}
ORDER BY ?gameLabel
LIMIT 100
```

I will provide this query as the final answer to the user's question.

[Tool] Stopped generation process


Failed to generate SPARQL query

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

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

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

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

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

[User] What are the distinct items that have an Encyclopedia of Life ID, but are not taxons or subclasses of taxons? Include item labels and labels of what the items are instances of.

[Assistant]
To answer this question, we need to:
1. Find items that have an Encyclopedia of Life ID (P830).
2. Ensure these items are not taxons (Q16521) or subclasses of taxons.
3. Retrieve the labels of these items and what they are instances of.

Let's start by finding items that have an Encyclopedia of Life ID (P830).

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
Got more than the maximum supported number of subject candidates (131,072)

Top 10 entity alternatives:
1. Encyclopedia of Life ID, also known as eol, EoL ID (wd:P830): eol.org item reference number
2. Encyclopedia of Life, also known as Encyclopedia of Life, EOL, EOL, eol.org (wd:Q82486): collaborative project intended to create an encyclopedia documenting all living species known to science
3. Encyclopedia of Life (wd:Q130424921): organization
4. Encyclopedia of Ideas ID, also known as EI id (wd:P10717): Hebrew-language encyclopedia describing philosophical ideas in daily life
5. eLS, also known as eLS (encyclopedia), Encyclopedia of Life Sciences (wd:Q1340158): reference work published by Wiley-Blackwell
6. Encyclopedia of ideas: culture, thought, media, also known as Encyclopedia of ideas (wd:Q20502200)
7. Encyclopedia of Life Sciences (wd:Q54006391)
8. Encyclopedia of Life Sciences (wd:Q54004500)
9. Encyclopedia of Life Sciences (wd:Q124845920): scientific article published in 2012
10. Encyclopedia of Life launched (wd:Q56491414)

No other items found

[Assistant]
The search returned the property `wdt:P830` for the Encyclopedia of Life ID. Now, let's construct a SPARQL query to find items that have this property, ensuring they are not taxons or subclasses of taxons. We will also retrieve the labels of these items and what they are instances of.

Here is the initial SPARQL query:

```sparql
SELECT DISTINCT ?item ?itemLabel ?instanceOf ?instanceOfLabel
WHERE {
  ?item wdt:P830 ?eolId .
  FILTER NOT EXISTS { ?item wdt:P31 wd:Q16521 } .
  FILTER NOT EXISTS { ?item wdt:P279 wd:Q16521 } .
  OPTIONAL { ?item wdt:P31 ?instanceOf . }
  OPTIONAL { ?instanceOf rdfs:label ?instanceOfLabel . FILTER(LANG(?instanceOfLabel) = "en") }
  OPTIONAL { ?item rdfs:label ?itemLabel . FILTER(LANG(?itemLabel) = "en") }
}
```

Let's execute this query to see the results.

[Tool]
SPARQL execution failed:
HTTPSConnectionPool(host='qlever.cs.uni-freiburg.de', port=443): Read timed out. (read timeout=30)

[Assistant]
The query execution timed out, which suggests that the query might be too complex or is returning a large number of results. To optimize the query, we can try to limit the number of results or simplify the query.

Let's first try to limit the number of results to 100 to see if we can get some initial results and then refine the query if necessary.

Here is the modified SPARQL query with a limit:

```sparql
SELECT DISTINCT ?item ?itemLabel ?instanceOf ?instanceOfLabel
WHERE {
  ?item wdt:P830 ?eolId .
  FILTER NOT EXISTS { ?item wdt:P31 wd:Q16521 } .
  FILTER NOT EXISTS { ?item wdt:P279 wd:Q16521 } .
  OPTIONAL { ?item wdt:P31 ?instanceOf . }
  OPTIONAL { ?instanceOf rdfs:label ?instanceOfLabel . FILTER(LANG(?instanceOfLabel) = "en") }
  OPTIONAL { ?item rdfs:label ?itemLabel . FILTER(LANG(?itemLabel) = "en") }
}
LIMIT 100
```

Let's execute this query to see if it returns results within the timeout limit.

[Tool]
SPARQL execution failed:
Waited for a result from another thread which then failed

[Assistant]
The query still timed out, indicating that even with the limit, the query is too complex or the dataset is too large. Let's try a different approach by breaking down the query into smaller parts and combining the results.

First, we will find items that have an Encyclopedia of Life ID (P830). Then, we will filter out those that are taxons or subclasses of taxons. Finally, we will retrieve the labels and instances of the remaining items.

### Step 1: Find items with an Encyclopedia of Life ID
```sparql
SELECT ?item
WHERE {
  ?item wdt:P830 ?eolId .
}
LIMIT 100
```

Let's execute this query to get a list of items with an Encyclopedia of Life ID.

### Step 2: Filter out taxons and subclasses of taxons
We will use the results from the first query to filter out taxons and subclasses of taxons.

### Step 3: Retrieve labels and instances
Finally, we will retrieve the labels and instances of the filtered items.

Let's start with the first step.

[Tool]
Got 100 rows and 1 column, showing the first 5 and last 5 rows below:
| ?item                                  |
| -------------------------------------- |
| Brentidae (wd:Q1000017)                |
| Cynodictis (wd:Q1000261)               |
| Cantherhines pardalis (wd:Q1000274)    |
| Canthidermis maculata (wd:Q1000278)    |
| Juncus capillaceus (wd:Q1000280)       |
| ...                                    |
| Hemiprocne comata (wd:Q1006422)        |
| Eared Dove (wd:Q1006452)               |
| Philippine Serpent Eagle (wd:Q1006468) |
| Platyplectrurus (wd:Q1006559)          |
| Xenocalamus (wd:Q1006670)              |