PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?wikimedian ?employer ?start ?end ( ( YEAR( ?end ) - YEAR( ?start ) ) * 12 + ( MONTH( ?end ) - MONTH( ?start ) ) AS ?lengthOfTenureMonths ) WHERE {
  ?wikimedian wdt:P106 wd:Q3809586 .
  OPTIONAL {
    ?wikimedian wdt:P108 ?employer .
  }
  ?wikimedian p:P106 ?statement .
  ?statement ps:P106 wd:Q3809586 .
  ?statement pq:P580 ?start .
  ?statement pq:P582 ?end .
}
LIMIT 25

Optimized query to reduce memory usage by limiting results to 25 and removing optional labels and coordinates. It retrieves Wikimedians in residence, their employers, start and end years, and length of tenure in months.

[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 Wikimedians in residence, and their employers (if available), items (if available), coordinates (if available), end years (if available), start years (if available), and lengths of tenure (in months) (if available)?

[Assistant]
To answer this question, I need to identify the Wikimedians in residence and retrieve their employers, items, coordinates, end years, start years, and lengths of tenure (in months) if available.

Step 1: Identify the entity for "Wikimedian in residence" in Wikidata.
Step 2: Find the relevant properties for employer, coordinates, start year, end year, and length of tenure.
Step 3: Construct a SPARQL query to retrieve the requested information.

I will start by searching for the entity "Wikimedian in residence" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Wikimedian in residence, also known as WIR, WiR, Wikipedia Outreach Ambassador, Wikipedian in Residence, Wikipedian in Academy (wd:Q3809586): professional role in Wikimedia development
2. Wikimedians in Residence Exchange Network, also known as WREN, Wikimedians in Residence Exchange Network User Group (wd:Q63214641): Wikimedia user group
3. Wikimedian in Residence: Expandi... Visibility and Knowledge Access (wd:Q130502333): program event at WikiConference North America 2024
4. artist-in-residence, also known as artist in residence, artistic residency, Writer-in-residence, Workspace Artist Residency, residency (wd:Q713223): program that invites artists to work at a specific venue or place for a period of time
5. Residence Inn by Marriott, also known as Residence Inn (wd:Q7315394): extended-stay all-suite hotel chain run by Marriott International
6. Entrepreneur in residence, also known as EIR (wd:Q5380743): organizational position
7. Kalichstein-Laredo-Robinson trio, also known as Ensemble in Residence (wd:Q16851425): US musical ensemble
8. Diplomats in Residence, also known as DIRs (wd:Q28405424)
9. Notes from the Field: Three Wikimedian in Residence Case Studies (wd:Q108545623): chapter from 'Wikipedia and Academic Libraries: A Global Project' published in 2021
10. writer in residence, also known as resident writer (wd:Q2328028): scholarship for writers including right of free local residence for several months

[Assistant]
The entity "Wikimedian in residence" is identified as wd:Q3809586 in Wikidata, which is a professional role in Wikimedia development.

Next, I will search for properties related to this entity that might provide information about employers, items, coordinates, start years, end years, and lengths of tenure. I will start by searching for properties related to "employer" for this entity.

[Tool]
Top 10 property alternatives:
1. field of this occupation, also known as practice, works in, profession's field, practices, field of this profession (wd:P425 as p/wdt): field corresponding to this occupation or profession (use only f...fessions - for people use Property:P101, for companies use P452)
2. maintained by, also known as custodian, maintenance, maintainer, held by, administrator (wd:P126 as p/wdt): person or organization in charge of keeping the subject (for instance an infrastructure) in functioning order
3. foundational text, also known as main text, treaty, organic law, founding document, establishing document (wd:P457 as p/wdt): text through which an institution or object has been created or established
4. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as p/wdt): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
5. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as p/wdt): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as p/wdt): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
7. start time, also known as start date, since, valid, join time, joined (wd:P580 as p/wdt): time an entity begins to exist or a statement starts being valid, point in time
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as p/wdt): work where this item is described, attested in
9. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as p/wdt): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
10. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as p/wdt): main Wikimedia category

No other items found

[Assistant]
The search for properties related to "employer" for the entity "Wikimedian in residence" did not return a direct property for employer. However, I found the property "start time" (wdt:P580) which might be useful for start years.

I will now search for properties related to "employer" in general to see if there is a common property used for employer that can be applied to Wikimedians in residence.

[Tool]
Top 10 property alternatives:
1. employer, also known as working at, working for, working place, works at, works for (wd:P108 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): person or organization for which the subject works or worked, affiliation
2. significant person, also known as significant people, sigper, sign. person, relevant person, relevant people (wd:P3342 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): person linked to the item in any possible way
3. work location, also known as work place, working from, working at, worked from, worked at (wd:P937 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): location where persons or organisations were actively participating in employment, business or other work, significant place, location
4. employees, also known as workers, staff, personnel, number of employees, employee count (wd:P1128 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): total number of employees of a company at a given "point in time...not deprecated rank). Add data for recent years, don't overwrite
5. occupation, also known as job, work, vocation, profession, employment (wd:P106 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
6. object of statement has role, also known as has role, value has role, specifically, role, object of statement has role (wd:P3831 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): (qualifier) role or generic identity of the predicate value/argu... the role of the item the statement is on ("subject"), use P2868
7. for work, also known as awarded for work, citation for award, for their work on, nominated for work (wd:P1686 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): qualifier of award received (P166) to specify the work that an award was given to the creator for
8. partner in business or sport, also known as professional partner, sport partner, sports partner, team mate, team-mate (wd:P1327 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): professional collaborator, significant person
9. present in work, also known as is shown in, in work, in narrative, character in, from work (wd:P1441 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): this (fictional or fictionalized) entity, place, or person appea...r works, P1343 for entities described in non-fictional accounts)
10. in work (wd:P2553 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): qualifier of award received and nominated for (P1411) to specify...ominated creative work appeared causing the nomination/award win

[Assistant]
The property "employer" (wdt:P108) is the appropriate property to use for the employer of a person.

I will now construct a SPARQL query to retrieve the Wikimedians in residence (instances of wd:Q3809586) along with their employers (wdt:P108), coordinates (wdt:P625), start years (wdt:P580), end years (wdt:P582), and calculate the length of tenure in months if possible.

I will start by querying for the Wikimedians in residence and their employers, start and end years.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant]
The query failed due to the use of SERVICE wikibase:label which is not supported by the endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional clauses to get the labels.

I will also adjust the query to correctly get the start and end times as qualifiers of the occupation statement.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2.1 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query failed due to memory limitations. I will try to reduce the complexity by limiting the number of optional clauses and removing the label retrieval for now. I will focus on getting the Wikimedians in residence with their employers, start, and end times first. Then I will add labels and other information step by step.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| wikimedian                           | employer                                                      | start                               | end                                 |
| ------------------------------------ | ------------------------------------------------------------- | ----------------------------------- | ----------------------------------- |
| Adam Pacholak (wd:Q100043881)        |                                                               | 2020-11-01T00:00:00Z (xsd:dateTime) |                                     |
| Pierre Tribhou (wd:Q100594837)       |                                                               | 2020-01-01T00:00:00Z (xsd:dateTime) | 2020-02-01T00:00:00Z (xsd:dateTime) |
| Z. Blace (wd:Q101768830)             |                                                               | 2022-03-01T00:00:00Z (xsd:dateTime) | 2022-09-01T00:00:00Z (xsd:dateTime) |
| Z. Blace (wd:Q101768830)             |                                                               | 2020-06-01T00:00:00Z (xsd:dateTime) | 2021-05-01T00:00:00Z (xsd:dateTime) |
| Adam Harangozó (wd:Q102160510)       |                                                               | 2021-05-01T00:00:00Z (xsd:dateTime) | 2021-07-01T00:00:00Z (xsd:dateTime) |
| ...                                  | ...                                                           | ...                                 | ...                                 |
| Pierre-Yves Beaudouin (wd:Q20742527) |                                                               | 2023-02-01T00:00:00Z (xsd:dateTime) | 2024-02-29T00:00:00Z (xsd:dateTime) |
| Pierre-Yves Beaudouin (wd:Q20742527) |                                                               | 2024-05-13T00:00:00Z (xsd:dateTime) | 2025-05-12T00:00:00Z (xsd:dateTime) |
| Daniel Mietchen (wd:Q20895785)       | Fraunhofer Institute for Biomedical Engineering (wd:Q1167435) | 2011-07-01T00:00:00Z (xsd:dateTime) | 2013-07-01T00:00:00Z (xsd:dateTime) |
| Daniel Mietchen (wd:Q20895785)       | Humboldt University of Berlin (wd:Q152087)                    | 2011-07-01T00:00:00Z (xsd:dateTime) | 2013-07-01T00:00:00Z (xsd:dateTime) |
| Daniel Mietchen (wd:Q20895785)       | Free University Berlin (wd:Q153006)                           | 2011-07-01T00:00:00Z (xsd:dateTime) | 2013-07-01T00:00:00Z (xsd:dateTime) |

[Assistant] I have retrieved Wikimedians in residence with their employers, start, and end times. Next, I will try to get the coordinates for these Wikimedians if available. I will also try to get the labels for the Wikimedians and employers for better readability.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 1.9 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query failed again due to memory limitations. I will remove the coordinate retrieval for now and only get the labels for the Wikimedians and employers along with the other data. Then I will try to calculate the length of tenure in months within the query.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2.2 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query still fails due to memory limitations. I will simplify the query further by removing the calculation of length of tenure and the labels, and only retrieve the Wikimedians, their employers, start, and end times where both start and end times are available. Then I will calculate the length of tenure in months outside the query if needed.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| wikimedian                      | employer                       | start                               | end                                 |
| ------------------------------- | ------------------------------ | ----------------------------------- | ----------------------------------- |
| Pierre Tribhou (wd:Q100594837)  |                                | 2020-01-01T00:00:00Z (xsd:dateTime) | 2020-02-01T00:00:00Z (xsd:dateTime) |
| Z. Blace (wd:Q101768830)        |                                | 2020-06-01T00:00:00Z (xsd:dateTime) | 2021-05-01T00:00:00Z (xsd:dateTime) |
| Z. Blace (wd:Q101768830)        |                                | 2022-03-01T00:00:00Z (xsd:dateTime) | 2022-09-01T00:00:00Z (xsd:dateTime) |
| Adam Harangozó (wd:Q102160510)  |                                | 2021-12-01T00:00:00Z (xsd:dateTime) | 2025-04-01T00:00:00Z (xsd:dateTime) |
| Adam Harangozó (wd:Q102160510)  |                                | 2021-05-01T00:00:00Z (xsd:dateTime) | 2021-07-01T00:00:00Z (xsd:dateTime) |
| ...                             | ...                            | ...                                 | ...                                 |
| Maximilian Klein (wd:Q47205335) |                                | 2012-06-01T00:00:00Z (xsd:dateTime) | 2014-02-01T00:00:00Z (xsd:dateTime) |
| Sarah Stierch (wd:Q5060734)     | Wikimedia Foundation (wd:Q180) | 2012-03-01T00:00:00Z (xsd:dateTime) | 2012-06-01T00:00:00Z (xsd:dateTime) |
| Sarah Stierch (wd:Q5060734)     | Wikimedia Foundation (wd:Q180) | 2013-01-01T00:00:00Z (xsd:dateTime) | 2013-12-01T00:00:00Z (xsd:dateTime) |
| Sarah Stierch (wd:Q5060734)     | Wikimedia Foundation (wd:Q180) | 2011-05-01T00:00:00Z (xsd:dateTime) | 2011-10-01T00:00:00Z (xsd:dateTime) |
| Sae Kitamura (wd:Q51884077)     |                                | 2024-06-01T00:00:00Z (xsd:dateTime) | 2025-03-31T00:00:00Z (xsd:dateTime) |

[Assistant] I have retrieved Wikimedians in residence with their employers, start, and end times where both start and end times are available. Now I will retrieve the coordinates for these Wikimedians if available.

[Tool]
Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| wikimedian                          | coordinate |
| ----------------------------------- | ---------- |
| Adam Pacholak (wd:Q100043881)       |            |
| Pierre Tribhou (wd:Q100594837)      |            |
| Z. Blace (wd:Q101768830)            |            |
| Adam Harangozó (wd:Q102160510)      |            |
| Hans Muller (wd:Q103120128)         |            |
| ...                                 | ...        |
| Jeffrey Keefer (wd:Q58914788)       |            |
| Tim Moritz Hector (wd:Q59308749)    |            |
| Sydney Poore (wd:Q59718101)         |            |
| Hilary Thorsen (wd:Q59753374)       |            |
| Mary Mark Ockerbloom (wd:Q61656198) |            |

[Assistant]
I have retrieved the coordinates for Wikimedians in residence, but most of them do not have coordinates available.

Now I will combine all the information into one query: Wikimedians in residence, their employers, start years, end years, and coordinates (if available). I will also calculate the length of tenure in months within the query. I will limit the number of results to avoid memory issues.

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant] The query still fails due to memory limitations. I will remove the coordinate retrieval and labels to reduce memory usage and only retrieve the Wikimedians, their employers, start and end years, and length of tenure in months.

[Tool]
Got 50 rows and 5 columns, showing the first 5 and last 5 rows below:
| wikimedian                         | employer                                   | start                               | end                                 | lengthOfTenureMonths |
| ---------------------------------- | ------------------------------------------ | ----------------------------------- | ----------------------------------- | -------------------- |
| Pierre Tribhou (wd:Q100594837)     |                                            | 2020-01-01T00:00:00Z (xsd:dateTime) | 2020-02-01T00:00:00Z (xsd:dateTime) | 1 (xsd:int)          |
| Z. Blace (wd:Q101768830)           |                                            | 2020-06-01T00:00:00Z (xsd:dateTime) | 2021-05-01T00:00:00Z (xsd:dateTime) | 11 (xsd:int)         |
| Z. Blace (wd:Q101768830)           |                                            | 2022-03-01T00:00:00Z (xsd:dateTime) | 2022-09-01T00:00:00Z (xsd:dateTime) | 6 (xsd:int)          |
| Adam Harangozó (wd:Q102160510)     |                                            | 2021-12-01T00:00:00Z (xsd:dateTime) | 2025-04-01T00:00:00Z (xsd:dateTime) | 40 (xsd:int)         |
| Adam Harangozó (wd:Q102160510)     |                                            | 2021-05-01T00:00:00Z (xsd:dateTime) | 2021-07-01T00:00:00Z (xsd:dateTime) | 2 (xsd:int)          |
| ...                                | ...                                        | ...                                 | ...                                 | ...                  |
| Àlex Hinojo Sánchez (wd:Q18696264) | Open University of Catalonia (wd:Q3042433) | 2012-05-01T00:00:00Z (xsd:dateTime) | 2013-05-01T00:00:00Z (xsd:dateTime) | 12 (xsd:int)         |
| Àlex Hinojo Sánchez (wd:Q18696264) | Open University of Catalonia (wd:Q3042433) | 2011-03-01T00:00:00Z (xsd:dateTime) | 2011-08-01T00:00:00Z (xsd:dateTime) | 5 (xsd:int)          |
| David Parreño Mont (wd:Q19290268)  |                                            | 2013-09-01T00:00:00Z (xsd:dateTime) | 2013-12-01T00:00:00Z (xsd:dateTime) | 3 (xsd:int)          |
| David Parreño Mont (wd:Q19290268)  |                                            | 2012-07-01T00:00:00Z (xsd:dateTime) | 2012-08-01T00:00:00Z (xsd:dateTime) | 1 (xsd:int)          |
| Martin Poulter (wd:Q19959618)      | University of Oxford (wd:Q34433)           | 2016-10-01T00:00:00Z (xsd:dateTime) | 2019-10-01T00:00:00Z (xsd:dateTime) | 36 (xsd:int)         |

[Assistant]
I have retrieved the Wikimedians in residence along with their employers (if available), start years, end years, and lengths of tenure in months (if available). Some Wikimedians do not have an employer listed. Coordinates are generally not available for these individuals.

Here is the SPARQL query used to obtain this information:

```
SELECT ?wikimedian ?employer ?start ?end (
  (YEAR(?end) - YEAR(?start)) * 12 + (MONTH(?end) - MONTH(?start))
  AS ?lengthOfTenureMonths) WHERE {
  ?wikimedian wdt:P106 wd:Q3809586 .
  OPTIONAL { ?wikimedian wdt:P108 ?employer . }
  ?wikimedian p:P106 ?statement .
  ?statement ps:P106 wd:Q3809586 .
  ?statement pq:P580 ?start .
  ?statement pq:P582 ?end .
} LIMIT 50
```

If you want, I can provide the results or save the query for your use.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves Wikimedians in residence along with their employers, start and end years, and calculates the length of tenure in months. However, the query does not retrieve the items themselves explicitly (the ?wikimedian variable returns the entity IRIs, which is good), and it does not attempt to retrieve coordinates, which the answer states are generally not available but might be present for some employers or residences. Also, the query does not retrieve labels for easier human readability, but since the user did not explicitly request labels, this is acceptable. To improve completeness, the query could optionally retrieve coordinates for the employer or the Wikimedian if available, and also include the Wikimedian's item explicitly as requested. Overall, the output is good but could be refined by adding optional retrieval of coordinates and ensuring the items are clearly included in the results.

[Assistant]
Thank you for the feedback. I will refine the query to explicitly include the Wikimedian items, and optionally retrieve coordinates for both the Wikimedian and their employer if available. I will keep the labels optional for readability but not mandatory since the user did not explicitly request them.

I will now construct the refined SPARQL query accordingly.

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is well-structured and attempts to retrieve all requested information about Wikimedians in residence, including their employers, coordinates, start and end years, and tenure length. However, the query execution failed due to memory limitations (3.3 GB requested but only 2 GB available). To improve, the query should be optimized to reduce memory usage, for example by limiting the number of results further, simplifying optional patterns, or splitting the query into smaller parts. Also, consider removing or limiting the use of optional coordinate retrieval if not essential, or using FILTERs to narrow down the dataset. The current query cannot be executed successfully, so the system should retry with an optimized query.

[Assistant]
Thank you for the feedback. To optimize the query and reduce memory usage, I will limit the number of results further and simplify the optional patterns by removing the optional labels and coordinates for now. This will focus on retrieving the essential data: Wikimedians in residence, their employers, start and end years, and length of tenure in months. If needed, additional details can be retrieved in separate queries later.

I will now construct the optimized query.

[Tool] Stopped generation process


PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?player WHERE {
  ?player wdt:P1440 ?fideID .
  FILTER NOT EXISTS {
    ?player p:P1087 ?eloStatement .
    ?eloStatement pq:P585 ?date .
    FILTER ( YEAR( ?date ) = 2012 && MONTH( ?date ) = 1 )
  }
}

Got 6,632 rows and 1 column, showing the first 5 and last 5 rows below:
| player                                 |
| -------------------------------------- |
| Naomi Bashkansky (wd:Q100194836)       |
| Sira Jallow (wd:Q100605576)            |
| Vladimir Arseniev (wd:Q101246152)      |
| Yury Pavlovichev (wd:Q101530051)       |
| Viliam Voloshin (wd:Q101780469)        |
| ...                                    |
| Husan Turdialiev (wd:Q97347436)        |
| Cecilia Guillo Longares (wd:Q97578565) |
| Horst Rittner (wd:Q97960)              |
| Dana Mackenzie (wd:Q98199542)          |
| Arnaud Serander (wd:Q98609286)         |

The chess players who have a FIDE player ID but do not have an Elo rating recorded for January 2012 are returned by the query. Examples include Naomi Bashkansky, Sira Jallow, Vladimir Arseniev, and others.

[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 chess players have a FIDE player ID but do not have an Elo rating recorded for January 2012?

[Assistant]
To answer this question, I need to identify chess players who have a FIDE player ID but do not have an Elo rating recorded for January 2012.

Step 1: Identify the property for FIDE player ID.
Step 2: Identify the property for Elo rating.
Step 3: Identify the property or qualifier for the date of the Elo rating.
Step 4: Query chess players with a FIDE player ID but without an Elo rating for January 2012.

I will start by searching for the property related to FIDE player ID.

[Tool]
Top 10 property alternatives:
1. FIDE player ID, also known as FIDE.com player ID, FIDE ID (wd:P1440 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier on the FIDE database for chess players
2. Chessgames.com player ID, also known as Chess Games ID, ChessGames ID, ChessGames.com ID (wd:P1665 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier on the website Chessgames.com
3. Chess.com player ID, also known as Chess.com player identifier (wd:P11065 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a chess player on Chess.com
4. ChessTempo.com player ID, also known as chesstempo.com player ID, Chess Tempo player ID (wd:P3315 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for chess players at ChessTempo.com
5. USCF player ID, also known as USCF ID, US Chess Federation player ID, US Chess Federation ID (wd:P3558 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a chess player issued by the US Chess Federation
6. Israel Chess Federation player ID, also known as ICF ID (wd:P3867 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a chess player from the Israel Chess Federation
7. OlimpBase FIDE ratings ID (wd:P11967 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): Elo rating ID on OlimpBase
8. OlimpBase Chess Olympiad player ID, also known as OBco ID, OlimpBase Open Chess Olympiad player ID (wd:P3940 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): identifier for a player at www.olimpbase.org who took part in the Chess Olympiad
9. Professional shogi player number (wd:P11574 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the number assigned to professional shogi players by the Japan Shogi Association
10. World Table Tennis player ID, also known as ITTF player ID, WTT player ID, International Table Tennis Federation player ID (wd:P1364 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): 6-digit identifier for a table tennis player at the World Table Tennis (WTT) website

[Assistant]
The property for FIDE player ID is wdt:P1440.

Next, I will search for the property related to Elo rating.

[Tool]
Top 10 property alternatives:
1. Elo rating (wd:P1087 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): quantitative measure of one's game-playing ability, particularly in classical chess
2. review score, also known as rating (score), review rating (wd:P444 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): review score received by a creative work or other entity
3. rating (wd:P4271 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): qualifier to indicate a score given by the referenced source indicating the quality or completeness of the statement
4. number of reviews/ratings, also known as number of reviews, ratings, reviews, number of ratings (wd:P7887 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): qualifier on review score to state the number of user reviews, user ratings or critic reviews
5. dan/kyu rank, also known as go rank, wushu rank, shogi rank, renju rank, kendo rank (wd:P468 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): rank system used in several board games (e.g. go, shogi, renju), martial arts (e.g. judo, kendo, wushu) and some other games
6. ranking, also known as peak position, place, placing, position, rank (wd:P1352 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): subject's ordinal position as qualitatively evaluated relative to other members of a group
7. score method, also known as scoring system, score type, scoring metric, scoring method, score system (wd:P1443 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): qualifier of "points/goal scored by (P1363)"
8. league level above, also known as level above (league), promotion to (wd:P2499 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the league above this sports league, next higher rank
9. series ordinal, also known as ordinal, unit number, sort order, sorting order, series number (wd:P1545 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): position of an item in its parent series (most frequently a 1-ba...d from "ranking" defined as a property for evaluating a quality)
10. military or police rank, also known as military rank, naval rank, police rank, rank (wd:P410 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): military or police rank achieved by a person (should usually hav...ualifier), or military or police rank associated with a position

[Assistant]
The property for Elo rating is wdt:P1087.

Next, I need to find how the date of the Elo rating is recorded. It might be a qualifier or a related property. I will check the statements for Elo rating (wdt:P1087) to see if there is a qualifier or property related to the date. I will list some triples with property P1087 to check.

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                           | property               | object             |
| --------------------------------- | ---------------------- | ------------------ |
| Magnus Carlsen (wd:Q106807)       | Elo rating (wdt:P1087) | 2832 (xsd:decimal) |
| Mikhail Tal (wd:Q102664)          | Elo rating (wdt:P1087) | 2525 (xsd:decimal) |
| Vasily Smyslov (wd:Q104148)       | Elo rating (wdt:P1087) | 2480 (xsd:decimal) |
| Bent Larsen (wd:Q108807)          | Elo rating (wdt:P1087) | 2415 (xsd:decimal) |
| Harika Dronavalli (wd:Q109147059) | Elo rating (wdt:P1087) | 2502 (xsd:decimal) |
| Jan-Krzysztof Duda (wd:Q10860652) | Elo rating (wdt:P1087) | 1834 (xsd:decimal) |
| Andor Lilienthal (wd:Q113167)     | Elo rating (wdt:P1087) | 2385 (xsd:decimal) |
| Anna Cramling (wd:Q104539456)     | Elo rating (wdt:P1087) | 2045 (xsd:decimal) |
| Jon Ludvig Hammer (wd:Q1152824)   | Elo rating (wdt:P1087) | 2596 (xsd:decimal) |
| Carlos Guimard (wd:Q1042965)      | Elo rating (wdt:P1087) | 2325 (xsd:decimal) |
| ...                               | ...                    | ...                |

[Assistant]
The Elo rating (wdt:P1087) is recorded as a direct property with a decimal value, but this does not show any date information.

I will check if there is a qualifier or statement related to the date for Elo rating. I will search for qualifiers or statements related to Elo rating (P1087) to find a date qualifier or property. I will search for properties related to "date" or "time" that might be used as qualifiers for Elo rating.

[Tool]
Top 10 property alternatives:
1. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): time of the first public presentation of a subject by the creator, of information by the media, point in time
2. day in year for periodic occurrence, also known as date, day, day in year, day of periodic occurrence, day of year (wd:P837 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): when a specific holiday or periodic event occurs. Can be used as property or qualifier
3. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
4. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): time when an entity begins to exist; for date of official opening use P1619, start time
5. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
6. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): time an entity begins to exist or a statement starts being valid, point in time
7. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date or point in time when a work was first published or released, point in time
8. public domain date, also known as copyright end date, PD date (wd:P3893 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date the item enters into the public domain in a jurisdiction
9. recording date, also known as recorded date, record date, recdate, rec. date, date of recording (wd:P10135 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the date when a recording was made, inception
10. date depicted, also known as depicted date, temporal coverage, shown as at date, depicts date, depicted time (wd:P2913 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): date represented in a work (for narrative works use P2408)

[Assistant]
The property "point in time" (wd:P585) is commonly used to indicate the date something took place or was true. This might be used as a qualifier for Elo rating to indicate the date of the rating.

I will now check if Elo rating (P1087) statements have a qualifier with property P585 (point in time) for the date. I will do this by querying for chess players with Elo rating statements that have a qualifier P585 for the date.

[Tool]
Got 10 rows and 3 columns:
| player                                       | elo                | date                                |
| -------------------------------------------- | ------------------ | ----------------------------------- |
| Martin Krämer (wd:Q100444)                   | 2492 (xsd:decimal) | 2012-01-01T00:00:00Z (xsd:dateTime) |
| Gagik Avetuntsi (wd:Q100988964)              | 1931 (xsd:decimal) | 2012-01-01T00:00:00Z (xsd:dateTime) |
| Rafail Klovsky (wd:Q101242848)               | 2305 (xsd:decimal) | 2012-01-01T00:00:00Z (xsd:dateTime) |
| Felix Ignatiev (wd:Q101245497)               | 2307 (xsd:decimal) | 2012-01-01T00:00:00Z (xsd:dateTime) |
| Vitaly Leonidov (wd:Q101246381)              | 2365 (xsd:decimal) | 2012-01-01T00:00:00Z (xsd:dateTime) |
| Vitaly Gavrilovich Terentiev (wd:Q101248510) | 2250 (xsd:decimal) | 2012-01-01T00:00:00Z (xsd:dateTime) |
| Victor Glatman (wd:Q101282180)               | 2171 (xsd:decimal) | 2012-01-01T00:00:00Z (xsd:dateTime) |
| Vladimir Grokhotov (wd:Q101287521)           | 2245 (xsd:decimal) | 2012-01-01T00:00:00Z (xsd:dateTime) |
| Amaury Álvarez (wd:Q101333498)               | 2152 (xsd:decimal) | 2012-01-01T00:00:00Z (xsd:dateTime) |
| Vladimir Revjakin (wd:Q101433865)            | 2008 (xsd:decimal) | 2012-01-01T00:00:00Z (xsd:dateTime) |

[Assistant]
I confirmed that Elo rating (wdt:P1087) statements have a qualifier "point in time" (pq:P585) for the date.

Now, I will write a query to find chess players who have a FIDE player ID (wdt:P1440) but do not have an Elo rating (p:P1087 with pq:P585) for January 2012.

I will do this by selecting players with a FIDE player ID and excluding those who have an Elo rating with a date qualifier for January 2012.

[Tool]
Got 10 rows and 1 column:
| player                                |
| ------------------------------------- |
| Naomi Bashkansky (wd:Q100194836)      |
| Sira Jallow (wd:Q100605576)           |
| Vladimir Arseniev (wd:Q101246152)     |
| Yury Pavlovichev (wd:Q101530051)      |
| Viliam Voloshin (wd:Q101780469)       |
| Yury Ovchinnikov (wd:Q101838978)      |
| Mende Tappyrov (wd:Q102046492)        |
| Denis Laurent Luminet (wd:Q102170921) |
| Helmut Kahlbacher (wd:Q102177780)     |
| Søren Møller Riis (wd:Q102182971)     |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly identifies chess players who have a FIDE player ID (wdt:P1440) but do not have an Elo rating (p:P1087) recorded for January 2012 by using a FILTER NOT EXISTS clause with the appropriate date filtering on the point in time qualifier (pq:P585). The query returns distinct players and the sample results include valid chess player entities. The query adheres to the rules by returning the actual identifiers of the players and does not perform any post-processing outside of SPARQL. The answer is complete and sensible given the question. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?item ?itemLabel ?coordinates ?inception ?century WHERE {
  ?item wdt:P131 wd:Q12549 .
  ?item wdt:P625 ?coordinates .
  ?item wdt:P571 ?inception .
  FILTER ( DATATYPE( ?inception ) = xsd:dateTime || DATATYPE( ?inception ) = xsd:date ) BIND( ROUND( ( YEAR( ?inception ) + 50 ) / 100 ) AS ?century ) OPTIONAL {
    ?item rdfs:label ?itemLabel .
    FILTER ( LANG( ?itemLabel ) = "en" )
  }
}
LIMIT 100

I refined the query to only include items located in Ille-et-Vilaine that have both coordinates and a valid inception date. The inception date is used to calculate the century rounded to the nearest century. The query returns the item, its English label, coordinates, inception date, and the rounded century of inception.

[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 items located in Ille-et-Vilaine, along with their coordinates and the century of their inception (rounded to the nearest century)?

[Assistant]
To answer this question, I need to identify the following:
1. The entity representing "Ille-et-Vilaine."
2. Items that are located in Ille-et-Vilaine.
3. The coordinates of these items.
4. The inception date of these items, which I will then round to the nearest century.

Step 1: Search for the entity "Ille-et-Vilaine" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Ille-et-Vilaine (wd:Q12549): French department
2. conseil de préfecture d'Ille-et-Vilaine, also known as CP 35, CP Ille-et-Vilaine, CP d'Ille-et-Vilaine (wd:Q63048509)
3. Departmental council of Ille-et-Vilaine, also known as Conseil départemental d'Ille-et-Vilaine, Ille-et-Vilaine departmental council (wd:Q23782070): deliberative assembly of the French department of Ille-et-Vilaine since April 2015
4. General council of Ille-et-Vilaine, also known as Conseil général d'Ille-et-Vilaine, Ille-et-Vilaine general council (wd:Q2993952): deliberative assembly of the French department of Morbihan before March 2015
5. demographics of Ille-et-Vilaine (wd:Q3043599)
6. economy of Ille-et-Vilaine (wd:Q102129069): economy of the region
7. Prefect of Ille-et-Vilaine (wd:Q62694838): French official position
8. Prefecture of Ille-et-Vilaine (wd:Q59210345): French prefecture
9. Saint-Méen-le-Grand (Ille-et-Vilaine). Abbatiale (wd:Q107408199): scientific article
10. Stillbirths in Ille-et-Vilaine (wd:Q41772595): scientific article published on February 1989

[Assistant] I found the entity for Ille-et-Vilaine as wd:Q12549, which is a French department. Next, I will find items that are located in Ille-et-Vilaine. The property for location or administrative territorial entity is usually "located in the administrative territorial entity" (wdt:P131). I will query items with this property pointing to Ille-et-Vilaine (wd:Q12549). I will also retrieve their coordinates (wdt:P625) and inception date (wdt:P571). Then I will round the inception date to the nearest century in the query.

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] The query failed because the SERVICE wikibase:label is not supported by the endpoint. I will rewrite the query without using SERVICE wikibase:label and instead use optional rdfs:label to get the item labels.

[Tool]
Got 100 rows and 5 columns, showing the first 5 and last 5 rows below:
| item                               | itemLabel               | coordinates                                 | inception | century |
| ---------------------------------- | ----------------------- | ------------------------------------------- | --------- | ------- |
| Route impériale 13 (wd:Q100433379) | Route impériale 13 (en) |                                             |           |         |
| Beaucé (wd:Q1010940)               | Beaucé (en)             | POINT(-1.156945 48.338056) (geo:wktLiteral) |           |         |
| Cardroc (wd:Q1010955)              | Cardroc (en)            | POINT(-1.889722 48.285278) (geo:wktLiteral) |           |         |
| Brécé (wd:Q1010968)                | Brécé (en)              | POINT(-1.482500 48.108889) (geo:wktLiteral) |           |         |
| Baguer-Pican (wd:Q1010975)         | Baguer-Pican (en)       | POINT(-1.699167 48.552500) (geo:wktLiteral) |           |         |
| ...                                | ...                     | ...                                         | ...       | ...     |
| Eancé (wd:Q1074775)                | Eancé (en)              | POINT(-1.242778 47.821945) (geo:wktLiteral) |           |         |
| Poligné (wd:Q1074785)              | Poligné (en)            | POINT(-1.686389 47.887500) (geo:wktLiteral) |           |         |
| Feins (wd:Q1074796)                | Feins (en)              | POINT(-1.640278 48.328889) (geo:wktLiteral) |           |         |
| Renac (wd:Q1074809)                | Renac (en)              | POINT(-1.976389 47.719722) (geo:wktLiteral) |           |         |
| Moussé (wd:Q1074826)               | Moussé (en)             | POINT(-1.270000 47.923056) (geo:wktLiteral) |           |         |

[Assistant] I retrieved items located in Ille-et-Vilaine (wd:Q12549) along with their coordinates and inception dates. I also calculated the century of inception rounded to the nearest century. Some items do not have coordinates or inception dates. I will now provide the SPARQL query and the answer.

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The SPARQL query correctly retrieves items located in Ille-et-Vilaine along with their coordinates and inception dates, and calculates the century of inception rounded to the nearest century. However, the query currently returns some items without coordinates or inception dates, which might not be very useful for the user. To improve the query, consider filtering out items that do not have coordinates or inception dates if the user expects complete data for these attributes. Additionally, the query could be improved by ensuring that the inception date is a valid date before applying the YEAR function to avoid errors. Finally, the label retrieval is done correctly but could be placed in an OPTIONAL clause to ensure compliance with best practices, although it is already optional here. Overall, the query is good but could be refined for better data quality and robustness.

[Assistant] Thank you for the feedback. I will refine the query to only include items that have both coordinates and a valid inception date. I will also ensure the inception date is a valid date before applying the YEAR function. The label retrieval is already optional, so I will keep it as is. I will now update the query accordingly.

[Tool]
Got 59 rows and 5 columns, showing the first 5 and last 5 rows below:
| item                                          | itemLabel                             | coordinates                                 | inception                           | century          |
| --------------------------------------------- | ------------------------------------- | ------------------------------------------- | ----------------------------------- | ---------------- |
| Noyal-Châtillon-sur-Seiche (wd:Q1021786)      | Noyal-Châtillon-sur-Seiche (en)       | POINT(-1.657500 48.043333) (geo:wktLiteral) | 1993-01-01T00:00:00Z (xsd:dateTime) | 20 (xsd:decimal) |
| Nantes-Brest canal (wd:Q1032581)              | Nantes-Brest canal (en)               | POINT(-1.539300 47.210900) (geo:wktLiteral) | 1803-01-01T00:00:00Z (xsd:dateTime) | 19 (xsd:decimal) |
| Nantes-Brest canal (wd:Q1032581)              | Nantes-Brest canal (en)               | POINT(-4.289700 48.303800) (geo:wktLiteral) | 1803-01-01T00:00:00Z (xsd:dateTime) | 19 (xsd:decimal) |
| Sainte-Marie (wd:Q1152310)                    | Sainte-Marie (en)                     | POINT(-2.000833 47.693889) (geo:wktLiteral) | 1872-01-01T00:00:00Z (xsd:dateTime) | 19 (xsd:decimal) |
| La Chapelle-Fleurigné (wd:Q123014276)         | La Chapelle-Fleurigné (en)            | POINT(-1.100833 48.348333) (geo:wktLiteral) | 2024-01-01T00:00:00Z (xsd:dateTime) | 21 (xsd:decimal) |
| ...                                           | ...                                   | ...                                         | ...                                 | ...              |
| wd:Q69867486                                  |                                       | POINT(-2.039198 48.441541) (geo:wktLiteral) | 2024-10-19T00:00:00Z (xsd:dateTime) | 21 (xsd:decimal) |
| arrondissement of Fougères-Vitré (wd:Q701222) | arrondissement of Fougères-Vitré (en) | POINT(-1.200000 48.350000) (geo:wktLiteral) | 2010-10-01T00:00:00Z (xsd:dateTime) | 21 (xsd:decimal) |
| Hédé (wd:Q84229490)                           | Hédé (en)                             | POINT(-1.802440 48.295400) (geo:wktLiteral) | 1973-07-01T00:00:00Z (xsd:dateTime) | 20 (xsd:decimal) |
| Saint-Symphorien (wd:Q937149)                 | Saint-Symphorien (en)                 | POINT(-1.821667 48.292500) (geo:wktLiteral) | 2008-01-01T00:00:00Z (xsd:dateTime) | 21 (xsd:decimal) |
| canton of Dol-de-Bretagne (wd:Q963745)        | canton of Dol-de-Bretagne (en)        | POINT(-1.750833 48.549722) (geo:wktLiteral) | 2015-03-22T00:00:00Z (xsd:dateTime) | 21 (xsd:decimal) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves items located in Ille-et-Vilaine with their coordinates and inception dates, and calculates the century of inception rounded to the nearest century. It properly filters for valid date types and includes English labels optionally. The result set is consistent with the query and the question requirements. No further refinement is necessary.


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?work ?workLabel WHERE {
  ?work wdt:P31 ?type .
  VALUES ?type {
    wd:Q11424 wd:Q5398426 wd:Q24856 wd:Q15416
  }
  {
    ?work wdt:P144 wd:Q36322 .
  } UNION {
    ?work wdt:P1877 wd:Q36322 .
  } UNION {
    ?work wdt:P50 wd:Q36322 .
  }
  OPTIONAL {
    ?work rdfs:label ?workLabel FILTER ( LANG( ?workLabel ) = "en" )
  }
}

Got 8 rows and 2 columns:
| work                               | workLabel                  |
| ---------------------------------- | -------------------------- |
| Emma (wd:Q1338008)                 | Emma (en)                  |
| Bride and Prejudice (wd:Q1354148)  | Bride and Prejudice (en)   |
| Aisha (wd:Q2089221)                | Aisha (en)                 |
| Pride & Prejudice (wd:Q270385)     | Pride & Prejudice (en)     |
| Mansfield Park (wd:Q291180)        | Mansfield Park (en)        |
| Sense and Sensibility (wd:Q643263) | Sense and Sensibility (en) |
| Pride and Prejudice (wd:Q855673)   | Pride and Prejudice (en)   |
| Pride and Prejudice (wd:Q940014)   | Pride and Prejudice (en)   |

The distinct audiovisual works that are based on, inspired by, or were written by Jane Austen include:
- Emma
- Bride and Prejudice
- Aisha
- Pride & Prejudice
- Mansfield Park
- Sense and Sensibility
- Pride and Prejudice (two other distinct works with the same name)

[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 audiovisual works that are based on, inspired by, or were written by Jane Austen?

[Assistant]
To answer this question, I need to find distinct audiovisual works that have a relation to Jane Austen such as being based on, inspired by, or written by her.

Step 1: Identify the entity for Jane Austen in Wikidata.
Step 2: Identify properties that relate audiovisual works to Jane Austen, such as "based on," "inspired by," or "author."
Step 3: Query for distinct audiovisual works that have these relations to Jane Austen.

I will start by searching for the entity "Jane Austen" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Jane Austen (wd:Q36322): English novelist (1775–1817), short story writer, novelist, writer
2. Austen, Jane (wd:Q19053266): entry in Dictionary of National Biography
3. Austen, Jane (wd:Q116027382): entry in A Cyclopaedia of Female Biography
4. Jane Austen (wd:Q20669108): Russian encyclopedic article
5. Jane Austen (wd:Q119802621): painting by Thomas Martine Ronaldson (1881–1942), The Box, Plymouth
6. Jane Austen (wd:Q54639704): 1986 book by Tony Tanner
7. Jane Austen (wd:Q75631099): (born 1826)
8. Jane Austen (wd:Q96085049): (1655-1717) wife of Stephen Stringer
9. Jane Cranley, also known as Jane Austen, Jane Stoughton (wd:Q75494834): Peerage person ID=176244
10. Jane Austen Centre (wd:Q6151132): permanent exhibition in Bath, UK

[Assistant] The entity for Jane Austen is wd:Q36322. Next, I will search for properties that relate audiovisual works to Jane Austen, such as "based on," "inspired by," or "author." I will start by searching for properties related to "based on" or "inspired by" for audiovisual works.

[Tool]
Top 10 property alternatives:
1. based on, also known as modelled after, inspired by, iteration of, modeled after, fork of (wd:P144 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): the work(s) or inputs used as the basis for subject item; for fictional analog use P1074, references work, tradition or theory, inspired by
2. criterion used, also known as reason for distinction, with respect to, with reference to, respectively to, on the basis of (wd:P1013 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): property by which a distinction or classification is made
3. natural product of taxon, also known as produced by taxon, product of taxon, made from, fruit of (taxon), derived from (wd:P1582 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): links a natural product with its source (animal, plant, fungal, algal, etc.)
4. derived from lexeme, also known as derived from, etymology, history of a word, loaned from, origin of a word (wd:P5191 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): most direct lexeme(s) this one has developed from
5. after a work by, also known as inspirational artist, inspiring artist, copy of a work by, based on a work by, artist who inspired this (wd:P1877 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): artist whose work strongly inspired / was copied in this item, significant person
6. statement supported by, also known as supported by, statement is supported by, stated by, recognized by, per (wd:P3680 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): entity that supports a given statement
7. determination method or standard, also known as rationale, standard, methodology, method of determination, measured by (wd:P459 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): how a value is determined, or the standard by which it is declared
8. derivative work, also known as is source work of, is adapted as, is the basis for, iteration, reboot (wd:P4969 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): new work of art (film, book, software, etc.) derived from major part of this work
9. object sense, also known as sense derivation, derived from sense (wd:P5980 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): (qualifier) statement applies only to listed senses of statement's object
10. semantic derivation of, also known as derived from sense, sense derived from sense (wd:P12410 as wdtn/prn/psn/prv/pq/pr/pqn/p/pqv/psv/ps/wdt): links a lexeme sense to a particular sense it is derived from

[Assistant]
The property "based on" is wd:P144 and "after a work by" is wd:P1877. These can be used to find works based on or inspired by Jane Austen. Also, the property "author" (wdt:P50) can be used to find works written by Jane Austen.

Next, I will query for distinct audiovisual works that are based on, inspired by, or written by Jane Austen (wd:Q36322). Audiovisual works can be identified by instance of (wdt:P31) being film (wd:Q11424), television show (wd:Q5398426), or similar.

I will start with a query to find distinct works that have the properties "based on" (wdt:P144), "after a work by" (wdt:P1877), or "author" (wdt:P50) with Jane Austen as the object. I will filter for audiovisual works.

[Tool]
Got 8 rows and 2 columns:
| work                               | workLabel                  |
| ---------------------------------- | -------------------------- |
| Emma (wd:Q1338008)                 | Emma (en)                  |
| Bride and Prejudice (wd:Q1354148)  | Bride and Prejudice (en)   |
| Aisha (wd:Q2089221)                | Aisha (en)                 |
| Pride & Prejudice (wd:Q270385)     | Pride & Prejudice (en)     |
| Mansfield Park (wd:Q291180)        | Mansfield Park (en)        |
| Sense and Sensibility (wd:Q643263) | Sense and Sensibility (en) |
| Pride and Prejudice (wd:Q855673)   | Pride and Prejudice (en)   |
| Pride and Prejudice (wd:Q940014)   | Pride and Prejudice (en)   |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves distinct audiovisual works that are based on, inspired by, or written by Jane Austen, using appropriate properties (P144, P1877, P50) and filtering for relevant types of audiovisual works. The answer includes a comprehensive list of works with their labels, matching the query results. The query also respects the requirement to return identifiers and labels optionally. No further refinement is necessary.