PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX ps: <http://www.wikidata.org/prop/statement/>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?person ?wikimedianInResidence ?employer ?employerCoords ?start ?end ?tenureMonths WHERE {
  BIND( wd:Q3809586 AS ?wikimedianInResidence ) ?person wdt:P106 ?wikimedianInResidence .
  OPTIONAL {
    ?person p:P108 ?employmentStatement .
    ?employmentStatement ps:P108 ?employer .
    OPTIONAL {
      ?employer wdt:P625 ?employerCoords .
    }
    OPTIONAL {
      ?employmentStatement pq:P580 ?start .
    }
    OPTIONAL {
      ?employmentStatement pq:P582 ?end .
    }
    OPTIONAL {
      FILTER ( bound( ?start ) && bound( ?end ) ) BIND( ( ( year( ?end ) - year( ?start ) ) * 12 + ( month( ?end ) - month( ?start ) ) ) AS ?tenureMonths )
    }
  }
}

This query returns all Wikimedians in residence (wd:Q3809586), their employers (if available), employer coordinates (if available), start and end years (if available), and the length of tenure in months (if both dates are available). The Wikimedian in residence item is always included. All information is returned if available, with no filtering out of incomplete records.

[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]
Let's break down the question:

1. We need to find all "Wikimedians in residence".
2. For each, we want:
   - Their employers (if available)
   - Items (if available) — I interpret this as the institution or project they are resident at
   - Coordinates (if available) — likely of the employer/institution
   - End years (if available)
   - Start years (if available)
   - Lengths of tenure (in months) (if available)

Step 1: Identify the entity for "Wikimedian in residence" and relevant properties for the requested information.

I'll start by searching for "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 for "Wikimedian in residence" is wd:Q3809586, which is a professional role in Wikimedia development.

Next, I need to find people who have held this role. Typically, this is modeled as a position held (P39) or occupation (P106). I will check which property is used for this role by searching for properties related to "Wikimedian in residence".

[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. 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)
4. 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)
5. 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
6. 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)
7. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as p/wdt): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
8. schematic, also known as schematic diagram, line drawing, diagram (wd:P5555 as p/wdt): illustration of the structure or operation of an object, system, or process, image
9. 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
10. 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

No other items found

[Assistant]
The properties directly on the "Wikimedian in residence" entity are general, not about people holding the role. Usually, to find people with a specific role, we look for statements where "position held" (P39) or "occupation" (P106) is "Wikimedian in residence" (wd:Q3809586).

I'll check which property is commonly used for people as "Wikimedian in residence" by searching for objects of P39 and P106 with the label "Wikimedian in residence".

[Tool]
Falling back to an unconstrained search on the full precomputed search indices:
Got more than the maximum supported number of object candidates (65,536)

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

No other items found

No literal items found

[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. 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
3. writer in residence, also known as resident writer (wd:Q2328028): scholarship for writers including right of free local residence for several months
4. poet-in-residence, also known as poet in residence (wd:Q111173569): position
5. scholar in residence, also known as scholar-in-residence (wd:Q108929301): scholar employed, usually for a specified period, as a lecturer,...earcher, etc., at a university, institute, or other organization
6. Wikimedian, also known as Wikimedia volunteer, Wikimedia user, Wikimedia contributor, Wikimedia editor (wd:Q41546637): contributor in the Wikimedia movement

No other items found

No literal items found

[Tool]
Got 221 rows and 3 columns, showing the first 10 rows below:
| subject                            | property              | object                                |
| ---------------------------------- | --------------------- | ------------------------------------- |
| Florence Devouard (wd:Q266722)     | occupation (wdt:P106) | Wikimedian in residence (wd:Q3809586) |
| Emily Temple-Wood (wd:Q23024183)   | occupation (wdt:P106) | Wikimedian in residence (wd:Q3809586) |
| Denny Vrandečić (wd:Q18618629)     | occupation (wdt:P106) | Wikimedian in residence (wd:Q3809586) |
| Netha Hussain (wd:Q66580063)       | occupation (wdt:P106) | Wikimedian in residence (wd:Q3809586) |
| Andrew Lih (wd:Q1113332)           | occupation (wdt:P106) | Wikimedian in residence (wd:Q3809586) |
| Siobhan Leachman (wd:Q54823671)    | occupation (wdt:P106) | Wikimedian in residence (wd:Q3809586) |
| Marek Blahuš (wd:Q7269822)         | occupation (wdt:P106) | Wikimedian in residence (wd:Q3809586) |
| Àlex Hinojo Sánchez (wd:Q18696264) | occupation (wdt:P106) | Wikimedian in residence (wd:Q3809586) |
| Pranayraj Vangari (wd:Q31500712)   | occupation (wdt:P106) | Wikimedian in residence (wd:Q3809586) |
| Mike Dickison (wd:Q56458901)       | occupation (wdt:P106) | Wikimedian in residence (wd:Q3809586) |
| ...                                | ...                   | ...                                   |

[Assistant]
We have confirmed that "Wikimedian in residence" (wd:Q3809586) is used as an occupation (P106) for people. Now, for each of these people, we need to find:

- Employer (likely P108)
- Items (possibly the institution or project, which may be modeled as employer or as a qualifier on a position held)
- Coordinates (likely P625, possibly of the employer)
- End year (likely P582, as a qualifier)
- Start year (likely P580, as a qualifier)
- Length of tenure (in months) (possibly not directly modeled, but can be calculated if start and end dates are available)

I'll search for properties related to "employer", "institution", "coordinate", "start", "end", and "tenure" for one example Wikimedian in residence, say Florence Devouard (wd:Q266722).

[Tool]
Top 10 property alternatives:
1. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
2. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
3. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/wdt): subject currently or formerly holds the object position or public office
4. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
5. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
6. industry, also known as branch, economic branch, field of action, field of exercise, sector (wd:P452 as p/wdt): specific industry of company or organization, part of
7. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as p/wdt): the object is a country that recognizes the subject as its citizen, country
8. 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
9. 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)
10. LinkedIn personal profile ID, also known as www.linkedin.com/in/, linkedin.com/in/, https://www.linkedin.com/in/, Linked In personal profile ID (wd:P6634 as p/wdt): identifier for a person, on the LinkedIn website

No other items found

[Tool]
Top 10 property alternatives:
1. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/wdt): subject currently or formerly holds the object position or public office
2. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
3. 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)
4. 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)
5. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
6. X (Twitter) username, also known as twitter.com/, X username, X handle, x.com/, X account (wd:P2002 as p/wdt): username on X (formerly Twitter); do not include the '@' symbol, website username or ID
7. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
8. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
9. social media followers, also known as number of subs, number of subscribers, sub count, sub number, subscriber number (wd:P8687 as p/wdt): number of subscribers on a particular social media website (use ... in time" and property for account. For Twitter, use numeric id.
10. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)

No other items found

[Tool]
Top 10 property alternatives:
1. 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
2. Commons gallery, also known as gallery (wd:P935 as p/wdt): name of the Wikimedia Commons gallery page(s) related to this item (is suitable to allow multiple links to more gallery pages)
3. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
4. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
5. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as p/wdt): most specific known birth location of a person, animal or fictional character, location
7. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as p/wdt): date on which the subject was born, inception
8. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as p/wdt): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
9. 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)
10. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p/wdt): educational institution attended by subject, affiliation

No other items found

[Tool]
Top 10 property alternatives:
1. 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)
2. 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
3. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
4. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
5. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
6. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
7. 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)
8. 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)
9. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as p/wdt): full name of a person at birth, if different from their current, generally used name, name
10. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as p/wdt): informal name (for a pseudonym use P742), name

No other items found

[Tool]
Top 10 property alternatives:
1. position held, also known as function, held position, holds position, job, office held (wd:P39 as p/wdt): subject currently or formerly holds the object position or public office
2. occupation, also known as job, work, vocation, profession, employment (wd:P106 as p/wdt): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
3. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as p/wdt): specialization of a person or organization; see P106 for the occupation, interested in
4. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as p/wdt): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative
5. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as p/wdt): educational institution attended by subject, affiliation
6. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as p/wdt): award or recognition received by a person, organization or creative work
7. member of, also known as band member of, membership, member of musical group, in musical group, be member of (wd:P463 as p/wdt): organization, club or musical group to which the subject belongs...ical position, such as a member of parliament (use P39 for that), part of
8. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as p/wdt): notable scientific, artistic or literary work, or other work of significance among subject's works
9. nickname, also known as informal name, moniker, other name, othername, other_names (wd:P1449 as p/wdt): informal name (for a pseudonym use P742), name
10. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as p/wdt): full name of a person at birth, if different from their current, generally used name, name

No other items found

[Assistant]
From the property searches, it appears that:

- Employer is likely modeled with "employer" (P108) or possibly as the item in "position held" (P39) statements.
- Start and end years are likely qualifiers: "start time" (P580) and "end time" (P582).
- Coordinates (P625) are likely attached to the employer/institution, not the person.
- Length of tenure is not directly modeled, but can be calculated from start and end dates.

The best approach is to:
- Find all people with occupation (P106) "Wikimedian in residence" (wd:Q3809586).
- For each, get their employer (P108), and/or positions held (P39) with qualifiers for start/end.
- For each employer/institution, get coordinates (P625).
- For each position, get start (P580) and end (P582) dates, and compute the tenure in months if both are present.

Now, I will write a SPARQL query to get:
- The Wikimedian in residence (person)
- Their employer (if available)
- Employer's coordinates (if available)
- Start and end years (if available)
- Length of tenure in months (if available, calculated)
- The employer item (if available)

I'll use OPTIONAL for all fields except the person.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 814 for token UNDEF with content 'UNDEF' (the input most likely does not follow the grammar)

[Assistant]
The error occurred because "UNDEF" is not a valid value in SPARQL's BIND. Instead, I should simply not bind anything if the calculation cannot be performed.

I'll simplify the query: only calculate tenure in months if both start and end are present. If not, leave tenureMonths unbound.

I'll also ensure that we get the employer from both direct "employer" (P108) and from "position held" (P39) statements, since some Wikimedians in residence may be modeled as holding a position at an institution.

Let me first check if "position held" (P39) is used for Wikimedian in residence, and if so, what institutions are linked.

[Tool]
Got 3 rows and 3 columns:
| subject                      | property                | object                                |
| ---------------------------- | ----------------------- | ------------------------------------- |
| Kime Rilla (wd:Q117224803)   | position held (wdt:P39) | Wikimedian in residence (wd:Q3809586) |
| Marcus Cyron (wd:Q15080578)  | position held (wdt:P39) | Wikimedian in residence (wd:Q3809586) |
| Lane Rasberry (wd:Q26202725) | position held (wdt:P39) | Wikimedian in residence (wd:Q3809586) |

[Tool]
Got 422 rows and 3 columns, showing the first 10 rows below:
| subject                      | property                         | object                                                                                |
| ---------------------------- | -------------------------------- | ----------------------------------------------------------------------------------------------- |
| Lane Rasberry (wd:Q26202725) | instance of (wdt:P31)            | human (wd:Q5)                                                                                |
| Lane Rasberry (wd:Q26202725) | occupation (wdt:P106)            | Wikimedian in residence (wd:Q3809586)                                                           |
| Lane Rasberry (wd:Q26202725) | sex or gender (wdt:P21)          | male (wd:Q6581097)                                                                              |
| Lane Rasberry (wd:Q26202725) | given name (wdt:P735)            | Lane (wd:Q42311473)                                                                             |
| Lane Rasberry (wd:Q26202725) | date of birth (wdt:P569)         | 1980-01-01T00:00:00Z (xsd:dateTime)                                                             |
| Lane Rasberry (wd:Q26202725) | Commons category (wdt:P373)      | Lane Rasberry                                                                                |
| Lane Rasberry (wd:Q26202725) | image (wdt:P18)                  | <http://commons.wikimedia.org/wiki/Special:FilePath/Lane%20Rasberry%20February%202019%2002.jpg> |
| Lane Rasberry (wd:Q26202725) | country of citizenship (wdt:P27) | United States (wd:Q30)                                                                          |
| Lane Rasberry (wd:Q26202725) | family name (wdt:P734)           | Rasberry (wd:Q37539030)                                                                         |
| Lane Rasberry (wd:Q26202725) | place of birth (wdt:P19)         | Texas (wd:Q1439)                                                                                |
| ...                          | ...                              | ...                                                                                |

[Tool]
Got 1 row and 3 columns:
| subject                      | property              | object                                           |
| ---------------------------- | --------------------- | ------------------------------------------------ |
| Lane Rasberry (wd:Q26202725) | position held (p:P39) | s:Q26202725-B6FA63FC-8172-4F2C-90A3-6B1B61A6B290 |

[Tool]
Got 4 rows and 3 columns:
| subject                                          | property               | object                                |
| ------------------------------------------------ | ---------------------- | ------------------------------------- |
| s:Q26202725-B6FA63FC-8172-4F2C-90A3-6B1B61A6B290 | position held (ps:P39) | Wikimedian in residence (wd:Q3809586) |
| s:Q26202725-B6FA63FC-8172-4F2C-90A3-6B1B61A6B290 | wikibase:rank          | wikibase:NormalRank                   |
| s:Q26202725-B6FA63FC-8172-4F2C-90A3-6B1B61A6B290 | rdf:type               | wikibase:BestRank                     |
| s:Q26202725-B6FA63FC-8172-4F2C-90A3-6B1B61A6B290 | rdf:type               | wikibase:Statement                    |

[Tool]
Got 4 rows and 3 columns:
| subject                                          | property               | object                                |
| ------------------------------------------------ | ---------------------- | ------------------------------------- |
| s:Q26202725-B6FA63FC-8172-4F2C-90A3-6B1B61A6B290 | position held (ps:P39) | Wikimedian in residence (wd:Q3809586) |
| s:Q26202725-B6FA63FC-8172-4F2C-90A3-6B1B61A6B290 | wikibase:rank          | wikibase:NormalRank                   |
| s:Q26202725-B6FA63FC-8172-4F2C-90A3-6B1B61A6B290 | rdf:type               | wikibase:BestRank                     |
| s:Q26202725-B6FA63FC-8172-4F2C-90A3-6B1B61A6B290 | rdf:type               | wikibase:Statement                    |

[Tool]
Got 4 rows and 3 columns:
| subject                                          | property               | object                                |
| ------------------------------------------------ | ---------------------- | ------------------------------------- |
| s:Q26202725-B6FA63FC-8172-4F2C-90A3-6B1B61A6B290 | position held (ps:P39) | Wikimedian in residence (wd:Q3809586) |
| s:Q26202725-B6FA63FC-8172-4F2C-90A3-6B1B61A6B290 | wikibase:rank          | wikibase:NormalRank                   |
| s:Q26202725-B6FA63FC-8172-4F2C-90A3-6B1B61A6B290 | rdf:type               | wikibase:BestRank                     |
| s:Q26202725-B6FA63FC-8172-4F2C-90A3-6B1B61A6B290 | rdf:type               | wikibase:Statement                    |

[Assistant]
It appears that for Lane Rasberry, the "position held" statement does not have qualifiers for employer, start, or end. This suggests that for most Wikimedians in residence, the best data is likely via occupation (P106) and employer (P108), with possible qualifiers for start/end on the employment statement.

Therefore, I will focus the query on:
- People with occupation (P106) "Wikimedian in residence" (wd:Q3809586)
- Their employer (P108), with qualifiers for start (P580) and end (P582)
- Employer's coordinates (P625)
- Calculated tenure in months if both start and end are present

Here is the refined SPARQL query.

[Tool]
Failed to call function execute:
failed to parse input: parse error at position 497 for token UNDEF with content 'UNDEF' (the input most likely does not follow the grammar)

[Assistant]
The error is again due to the use of UNDEF in the BIND statement. In SPARQL, if the IF condition is not met, the variable is simply not bound, so I should remove the ELSE part entirely.

I'll adjust the query to only bind ?tenureMonths if both ?start and ?end are present, otherwise leave it unbound. Here is the corrected query.

[Tool]
Got 254 rows and 6 columns, showing the first 5 and last 5 rows below:
| person                           | employer | employerCoords | start | end | tenureMonths |
| -------------------------------- | -------- | -------------- | ----- | --- | ------------ |
| Adam Pacholak (wd:Q100043881)    |          |                |       |     |              |
| Pierre Tribhou (wd:Q100594837)   |          |                |       |     |              |
| Z. Blace (wd:Q101768830)         |          |                |       |     |              |
| Adam Harangozó (wd:Q102160510)   |          |                |       |     |              |
| Hans Muller (wd:Q103120128)      |          |                |       |     |              |
| ...                              | ...      | ...            | ...   | ... | ...          |
| Zeljko Blace (wd:Q96267613)      |          |                |       |     |              |
| Wojciech Szczęsny (wd:Q99519290) |          |                |       |     |              |
| Piotr Powierża (wd:Q99519678)    |          |                |       |     |              |
| Jane Darnell (wd:Q99673923)      |          |                |       |     |              |
| Mauricio V. Genta (wd:Q99707764) |          |                |       |     |              |

[Tool]
SPARQL execution failed:
Tried to allocate 3.3 GB, but only 2.6 GB were available. Clear the cache or allow more memory for QLever during startup

[Assistant]
The query failed due to memory limits, likely because of the OPTIONAL label retrievals and the size of the result set. To address this, I will:

- Remove the OPTIONAL label retrievals (as they are not required by your question).
- Limit the result set to a manageable number (e.g., 100) for demonstration, but the query can be run without LIMIT for full results.

Here is the optimized query.

[Tool]
Got 100 rows and 6 columns, showing the first 5 and last 5 rows below:
| person                                | employer | employerCoords | start | end | tenureMonths |
| ------------------------------------- | -------- | -------------- | ----- | --- | ------------ |
| Adam Pacholak (wd:Q100043881)         |          |                |       |     |              |
| Pierre Tribhou (wd:Q100594837)        |          |                |       |     |              |
| Z. Blace (wd:Q101768830)              |          |                |       |     |              |
| Adam Harangozó (wd:Q102160510)        |          |                |       |     |              |
| Hans Muller (wd:Q103120128)           |          |                |       |     |              |
| ...                                   | ...      | ...            | ...   | ... | ...          |
| Sarah Stierch (wd:Q5060734)           |          |                |       |     |              |
| Sae Kitamura (wd:Q51884077)           |          |                |       |     |              |
| Ewan McAndrew (wd:Q54087010)          |          |                |       |     |              |
| Siobhan Leachman (wd:Q54823671)       |          |                |       |     |              |
| Rubén Ojeda de la Roza (wd:Q55060471) |          |                |       |     |              |

[Tool]
Got 58 rows and 6 columns, showing the first 5 and last 5 rows below:
| person                              | employer                                   | employerCoords                                | start                               | end                                 | tenureMonths  |
| ----------------------------------- | ------------------------------------------ | --------------------------------------------- | ----------------------------------- | ----------------------------------- | ------------- |
| Nicolas Vigneron (wd:Q104080737)    | Clermont Auvergne University (wd:Q1319786) | POINT(3.113075 45.761730) (geo:wktLiteral)    | 2022-01-01T00:00:00Z (xsd:dateTime) | 2022-06-30T00:00:00Z (xsd:dateTime) | 5 (xsd:int)   |
| Andrew Lih (wd:Q1113332)            | Nokia Bell Labs (wd:Q217365)               | POINT(-74.400278 40.683333) (geo:wktLiteral)  | 1990-01-01T00:00:00Z (xsd:dateTime) | 1993-01-01T00:00:00Z (xsd:dateTime) | 36 (xsd:int)  |
| Andrew Lih (wd:Q1113332)            | American University (wd:Q168000)           | POINT(-77.086922 38.937055) (geo:wktLiteral)  | 2013-01-01T00:00:00Z (xsd:dateTime) | 2017-01-01T00:00:00Z (xsd:dateTime) | 48 (xsd:int)  |
| Lucy Moore (wd:Q111497338)          | National Trust (wd:Q333515)                |                                               | 2023-01-01T00:00:00Z (xsd:dateTime) | 2024-01-01T00:00:00Z (xsd:dateTime) | 12 (xsd:int)  |
| Lucy Moore (wd:Q111497338)          | Leeds Museums & Galleries (wd:Q69790303)   |                                               | 2013-01-01T00:00:00Z (xsd:dateTime) | 2023-01-01T00:00:00Z (xsd:dateTime) | 120 (xsd:int) |
| ...                                 | ...                                        | ...                                           | ...                                 | ...                                 | ...           |
| Sara Thomas (wd:Q69848572)          | Museums Galleries Scotland (wd:Q16152232)  |                                               | 2015-01-01T00:00:00Z (xsd:dateTime) | 2016-06-01T00:00:00Z (xsd:dateTime) | 17 (xsd:int)  |
| Esther Marie Jackson (wd:Q72543255) | New York Botanical Garden (wd:Q636275)     | POINT(-73.878333 40.863611) (geo:wktLiteral)  | 2015-02-01T00:00:00Z (xsd:dateTime) | 2020-04-01T00:00:00Z (xsd:dateTime) | 62 (xsd:int)  |
| Marek Blahuš (wd:Q7269822)          | Masaryk University (wd:Q763586)            | POINT(16.605278 49.198611) (geo:wktLiteral)   | 2011-01-01T00:00:00Z (xsd:dateTime) | 2019-01-01T00:00:00Z (xsd:dateTime) | 96 (xsd:int)  |
| Monika Sengul-Jones (wd:Q81506018)  | OCLC, Inc. (wd:Q190593)                    |                                               | 2017-02-01T00:00:00Z (xsd:dateTime) | 2018-06-01T00:00:00Z (xsd:dateTime) | 16 (xsd:int)  |
| Monika Sengul-Jones (wd:Q81506018)  | University of Washington (wd:Q219563)      | POINT(-122.308055 47.654167) (geo:wktLiteral) | 2019-12-01T00:00:00Z (xsd:dateTime) | 2020-07-01T00:00:00Z (xsd:dateTime) | 7 (xsd:int)   |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is mostly correct and returns the required information, but it only includes rows where both start and end dates are present (due to the FILTER(bound(?start) && bound(?end))). This means it will miss Wikimedians in residence who are currently in post (with no end date) or where only one of the dates is known. The question asks for all available information, so the query should return all Wikimedians in residence and include start/end dates and tenure in months only when available. The calculation of tenure in months should be wrapped in an OPTIONAL clause, and the FILTER should be removed. Additionally, the query should include the Wikimedian in residence item (Q3809586) as requested. Consider also returning the employer item even if coordinates are not available. The query should be refined to better match the user's request for completeness.

[Assistant]
Thank you for the feedback. Here’s how I’ll refine the query:

- Remove the FILTER(bound(?start) && bound(?end)) so that all Wikimedians in residence with or without start/end dates are included.
- Calculate tenure in months only when both start and end are present, using an OPTIONAL BIND.
- Always include the Wikimedian in residence item (wd:Q3809586) in the results.
- Ensure the employer is returned even if coordinates are missing.
- Return all available information, using OPTIONAL for start, end, tenure, employer, and coordinates.

Here is the improved SPARQL query:

[Tool] Stopped generation process

[User]
Feedback (status=retry):
The SPARQL query is invalid due to the use of 'NULL' in the BIND/IF expression, which is not standard SPARQL syntax and not supported by QLever. In SPARQL, you cannot use 'NULL' as a value. Instead, you should only BIND the tenureMonths variable if both start and end dates are present, or use a FILTER to ensure both are bound before calculating tenureMonths. Additionally, the query should always return the IRIs of the items, and labels should only be included optionally. Please revise the query to correctly calculate tenureMonths only when both dates are present, and ensure all output requirements are met.

[Assistant]
Thank you for the feedback. Here’s how I’ll address the issues:

- Remove the use of NULL in BIND/IF, as it is not valid SPARQL.
- Only BIND tenureMonths when both start and end are present, using an OPTIONAL block with a FILTER.
- Always return the IRIs for person, employer, and Wikimedian in residence item.
- Labels will only be included optionally, as per your instructions.
- All information (employer, coordinates, start/end years, tenure) will be OPTIONAL and included if available.

Here is the revised query:

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX p: <http://www.wikidata.org/prop/>
PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?player ?fideid WHERE {
  ?player wdt:P31 wd:Q5 ; wdt:P106 wd:Q10873124 ; wdt:P1440 ?fideid .
  FILTER ( STRLEN( STR( ?fideid ) ) > 0 ) FILTER NOT EXISTS {
    ?player p:P1087 ?eloStmt .
    ?eloStmt pq:P585 ?date .
    FILTER ( ?date >= "2012-01-01T00:00:00Z" ^^ xsd:dateTime && ?date < "2012-02-01T00:00:00Z" ^^ xsd:dateTime )
  }
}

This query returns chess players who have a non-empty FIDE player ID and do not have any Elo rating recorded for January 2012, regardless of whether they have Elo ratings for other months. The results include both the Wikidata IRI for the player and their FIDE ID.

[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]
Let's break down the question:

1. We are looking for chess players.
2. They must have a FIDE player ID.
3. They must not have an Elo rating recorded for January 2012.

Step 1: Find the entity for "chess player" in Wikidata.
Step 2: Find the property for "FIDE player ID".
Step 3: Find the property for "Elo rating" and check how it is recorded for a specific date (January 2012).

Let's start by searching for the entity "chess player".

[Tool]
Top 10 entity alternatives:
1. chess player (wd:Q10873124): individual who takes part in chess tournaments
2. The Chess Player, also known as Le joueur d’echecs, Chess Player (wd:Q2551767): 1927 French film directed by Raymond Bernard
3. Go Player, also known as Chess Player (wd:Q5093307): 2006 Chinese television series
4. The Chess Player, also known as Chess Player, Le Joueur d'échecs (wd:Q3223641): 1938 film by Jean Dréville
5. Chess Player (wd:Q49213741): painting by George Benjamin Luks
6. chess player (wd:L1361125-S1)
7. The Turk, also known as Mechanical Turk, Automaton Chess Player (wd:Q275924): chess automaton hoax
8. Maelzel's Chess Player (wd:Q6729212): essay by Edgar Allan Poe, exposing the chess automaton "The Turk" as fraudulent
9. The Chess Players, also known as chess players (wd:Q25569090): painting by Cornelis de Man
10. Chess Players (wd:Q25395333): painting in the manner of Caravaggio

[Assistant]
The relevant entity for a human chess player is wd:Q10873124 ("chess player": individual who takes part in chess tournaments).

Next, let's find the property for "FIDE player ID".

[Tool]
Top 10 property alternatives:
1. FIDE player ID, also known as FIDE.com player ID, FIDE ID (wd:P1440 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier on the website Chessgames.com
3. Chess.com player ID, also known as Chess.com player identifier (wd:P11065 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a chess player from the Israel Chess Federation
7. OlimpBase FIDE ratings ID (wd:P11967 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): identifier for a player at www.olimpbase.org who took part in the Chess Olympiad
9. Professional shogi player number (wd:P11574 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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, let's find the property for "Elo rating" and see how it is recorded for a specific date (January 2012).

[Tool]
Top 10 property alternatives:
1. Elo rating (wd:P1087 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): review score received by a creative work or other entity
3. rating (wd:P4271 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/wdt): qualifier of "points/goal scored by (P1363)"
8. league level above, also known as level above (league), promotion to (wd:P2499 as pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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 pqv/psn/psv/p/prn/prv/ps/wdtn/pq/pqn/pr/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.

Now, we need to check how the Elo rating for a specific date (January 2012) is recorded. Usually, such time-specific values are recorded using qualifiers like "point in time" (P585). Let's confirm this by searching for properties related to "point in time" for the Elo rating property.

[Tool]
Top 10 property alternatives:
1. Wikidata property example, also known as e.g., Wikidata property sample, property sample, property example, for example (wd:P1855 as p/wdt): example where this Wikidata property is used; target item is one...ualifier the property being described given the associated value
2. 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)
3. Wikidata item of this property, also known as associated item, Wikidata property subject item, Wikidata item for this property, subject of this property, subject of property (wd:P1629 as p/wdt): item corresponding to the concept represented by the property
4. property proposal discussion, also known as proposal, Wikidata property proposal, proposal URL, property discussion URL, property discussion (wd:P3254 as p/wdt): URL of the page (or page section) on which the creation of the property was discussed, Wikimedia community discussion URL
5. stability of property value, also known as variability of value, variability of property, stability of value, stability of property value, stability of property (wd:P2668 as p/wdt): likelihood that statements with this property will change
6. property constraint, also known as rdfs:range, constraint, rdfs:domain (wd:P2302 as p/wdt): constraint applicable to a Wikidata property
7. property usage tracking category, also known as property tracked (inverse of) (wd:P2875 as p/wdt): category tracking a Wikidata property in sister projects, topic's main category

No other items found

[Assistant]
It appears that the direct search for "point in time" as a qualifier for the Elo rating property did not return a result, but based on Wikidata conventions, "point in time" (P585) is commonly used as a qualifier for time-specific values like Elo ratings.

Let's confirm this by listing some triples where the Elo rating property (P1087) is used, and see if "point in time" (P585) appears as a qualifier.

[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 property (wdt:P1087) is used directly on chess player entities, but this direct property does not show qualifiers in this listing. To check for qualifiers like "point in time" (P585), we need to look at the full statement property (p:P1087) and its qualifiers.

Let's list some triples for the full statement property p:P1087 for a known chess player (e.g., Magnus Carlsen, wd:Q106807) to see if "point in time" (P585) is used as a qualifier.

[Tool]
Got 173 rows and 3 columns, showing the first 10 rows below:
| subject                     | property             | object                                         |
| --------------------------- | -------------------- | ---------------------------------------------- |
| Magnus Carlsen (wd:Q106807) | Elo rating (p:P1087) | s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B |
| Magnus Carlsen (wd:Q106807) | Elo rating (p:P1087) | s:Q106807-03428782-3A91-4A25-8C71-12F8260947A0 |
| Magnus Carlsen (wd:Q106807) | Elo rating (p:P1087) | s:Q106807-049260CC-04C8-40C0-A6E8-7BEA2B1BCE0A |
| Magnus Carlsen (wd:Q106807) | Elo rating (p:P1087) | s:Q106807-07DE7F45-8BAC-436C-850E-B06B0C411C33 |
| Magnus Carlsen (wd:Q106807) | Elo rating (p:P1087) | s:Q106807-0B688EA4-412E-41F6-BFEA-4277E1857970 |
| Magnus Carlsen (wd:Q106807) | Elo rating (p:P1087) | s:Q106807-0B83E356-575F-449B-B7D3-4D94626185C6 |
| Magnus Carlsen (wd:Q106807) | Elo rating (p:P1087) | s:Q106807-0E3583C6-82D1-44F2-92AB-0D569C842F0E |
| Magnus Carlsen (wd:Q106807) | Elo rating (p:P1087) | s:Q106807-0F1CE930-4560-42A6-ABDF-28258AF00BD5 |
| Magnus Carlsen (wd:Q106807) | Elo rating (p:P1087) | s:Q106807-1030EE52-676D-4C10-8B46-2CCEC0652BDE |
| Magnus Carlsen (wd:Q106807) | Elo rating (p:P1087) | s:Q106807-112BE085-C5E6-4690-BE51-700B06F3A516 |
| ...                         | ...                  | ...                                            |

[Tool]
Got 7 rows and 3 columns:
| subject                                        | property                 | object                                       |
| ---------------------------------------------- | ------------------------ | -------------------------------------------- |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | Elo rating (ps:P1087)    | 2882 (xsd:decimal)                           |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | point in time (pq:P585)  | 2014-05-01T00:00:00Z (xsd:dateTime)          |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | wikibase:rank            | wikibase:NormalRank                          |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | rdf:type                 | wikibase:Statement                           |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | prov:wasDerivedFrom      | ref:a13cb5b476f8dd365e5c22a686a3ad7791ac569f |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | Elo rating (psv:P1087)   | v:7eb179c14755792dee594f7aebfaf7a7           |
| s:Q106807-011A7F8B-2AAE-4C51-B47F-9ACD6F9C315B | point in time (pqv:P585) | v:e0e14f5714aca22bfe702639db968957           |

[Assistant]
This confirms that Elo ratings for specific dates are recorded as statements with the Elo rating value (ps:P1087) and a "point in time" qualifier (pq:P585).

Now, to answer the question, we need to:
- Find all chess players (wd:Q10873124) who have a FIDE player ID (wdt:P1440).
- Exclude those who have an Elo rating (p:P1087) with a "point in time" (pq:P585) in January 2012.

Let's construct the SPARQL query step by step.

First, let's select all chess players with a FIDE player ID.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that using "instance of" (wdt:P31) with "chess player" (wd:Q10873124) did not return any results. This may be because chess players are typically classified as "human" (wd:Q5) and have "occupation: chess player" (wdt:P106 wd:Q10873124) instead.

Let's try selecting all humans (wd:Q5) whose occupation is chess player (wdt:P106 wd:Q10873124) and who have a FIDE player ID (wdt:P1440).

[Tool]
Got 10 rows and 1 column:
| player                                       |
| -------------------------------------------- |
| Naomi Bashkansky (wd:Q100194836)             |
| Martin Krämer (wd:Q100444)                   |
| Sira Jallow (wd:Q100605576)                  |
| Gagik Avetuntsi (wd:Q100988964)              |
| Rafail Klovsky (wd:Q101242848)               |
| Felix Ignatiev (wd:Q101245497)               |
| Vladimir Arseniev (wd:Q101246152)            |
| Vitaly Leonidov (wd:Q101246381)              |
| Vitaly Gavrilovich Terentiev (wd:Q101248510) |
| Victor Glatman (wd:Q101282180)               |

[Assistant]
Now we have a working pattern to select chess players with a FIDE player ID.

Next, we need to exclude those who have an Elo rating statement (p:P1087) with a "point in time" (pq:P585) in January 2012.

To do this, we'll use a FILTER NOT EXISTS clause to exclude players who have an Elo rating with a "point in time" in January 2012.

Let's construct the full query.

[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)    |
| Helmut Kahlbacher (wd:Q102177780) |
| Søren Møller Riis (wd:Q102182971) |
| Stanislav Keprta (wd:Q102219224)  |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is almost correct, but there is a small issue: it only checks for the absence of an Elo rating for January 2012, but it does not ensure that the player actually has a FIDE player ID (it only checks that the property exists, not that it is non-empty or valid). Additionally, the query should ensure that the player does not have ANY Elo rating for January 2012, but currently, if a player has multiple Elo ratings and one of them is not for January 2012, the FILTER NOT EXISTS might not work as intended. It would be more robust to explicitly check that there is no Elo rating with a point in time in January 2012. Also, the query could optionally return the FIDE ID for clarity.

[Assistant]
Thank you for the feedback. Let's address the issues step by step:

1. **Ensure FIDE player ID is present and non-empty:**
   The triple `?player wdt:P1440 ?fideid` already ensures that the FIDE player ID exists and is non-empty, as Wikidata does not return triples with empty values.

2. **Robustly exclude any Elo rating for January 2012:**
   The current `FILTER NOT EXISTS` block is correct in principle, but let's clarify its logic:
   - For each player with a FIDE ID, we want to ensure there is no statement of Elo rating (`p:P1087`) with a `pq:P585` (point in time) in January 2012.
   - The current filter is correct, but let's make it even clearer and add the FIDE ID to the output.

3. **Return FIDE ID for clarity:**
   We'll add `?fideid` to the SELECT clause and make sure it's included.

Here is the refined query, with comments for clarity:

```sparql
SELECT ?player ?fideid WHERE {
  ?player wdt:P31 wd:Q5;
          wdt:P106 wd:Q10873124;
          wdt:P1440 ?fideid.
  FILTER(STRLEN(STR(?fideid)) > 0) # Ensure FIDE ID is non-empty
  FILTER NOT EXISTS {
    ?player p:P1087 ?eloStmt.
    ?eloStmt pq:P585 ?date.
    FILTER(?date >= "2012-01-01T00:00:00Z"^^xsd:dateTime && ?date < "2012-02-01T00:00:00Z"^^xsd:dateTime)
  }
}
```

I'll run this refined query to ensure it works as intended.

[Tool]
Got 20 rows and 2 columns, showing the first 5 and last 5 rows below:
| player                                | fideid    |
| ------------------------------------- | --------- |
| Naomi Bashkansky (wd:Q100194836)      | 2072289   |
| Sira Jallow (wd:Q100605576)           | 21100535  |
| Vladimir Arseniev (wd:Q101246152)     | 4105800   |
| Yury Pavlovichev (wd:Q101530051)      | 34161322  |
| Viliam Voloshin (wd:Q101780469)       | 4104684   |
| ...                                   | ...       |
| Alexander Munro Davie (wd:Q102309509) | 2400170   |
| Rémi Piraux (wd:Q102342434)           | 551003040 |
| Laurent Waxweiler (wd:Q102357318)     | 249491    |
| Marten Wortel (wd:Q102396857)         | 1005359   |
| Albertas Zinevicius (wd:Q102413578)   | 12812056  |

[Tool] Stopped generation process

[User]
Feedback (status=refine):
The query is close, but there is a subtle issue: it currently returns chess players who do not have ANY Elo rating for January 2012, but it does not ensure that they do not have an Elo rating for that month specifically. However, it could also return players who have Elo ratings for other months but not for January 2012, which is correct. The main refinement needed is to ensure that the query only considers the absence of Elo ratings for January 2012, not the absence of any Elo rating at all. The current query is correct in this regard.

However, the use of 'wdt:P1440' is incorrect for FIDE ID. The correct property for FIDE ID is 'wdt:P1440', but it should be used as a string property, not as a reference to another entity. Also, the query should use OPTIONAL for the FIDE ID to avoid excluding players who might not have a FIDE ID (though the question asks for those who do, so this is acceptable). The query is otherwise well-formed and returns the correct IRIs.

Final suggestion: The query is correct for the question asked, but for clarity, you could add a comment or slightly rephrase the explanation to clarify that it returns chess players with a FIDE ID and no Elo rating for January 2012, regardless of whether they have Elo ratings for other months.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?item ?coordinate ?inception ?century ?itemLabel WHERE {
  ?item wdt:P131 wd:Q12549 .
  OPTIONAL {
    ?item wdt:P625 ?coordinate .
  }
  OPTIONAL {
    ?item wdt:P571 ?inception .
    BIND( YEAR( ?inception ) AS ?year ) BIND( CEIL( ( ?year - 1 ) / 100 ) + 1 AS ?century )
  }
  OPTIONAL {
    ?item rdfs:label ?itemLabel FILTER ( LANG( ?itemLabel ) = "en" )
  }
}
LIMIT 100

The query returns items located in Ille-et-Vilaine, their coordinates (if available), and the century of their inception (rounded to the nearest century, if inception date is available).

[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]
Let's break down the question:

1. We need to find items located in Ille-et-Vilaine.
2. For each item, we want its coordinates.
3. We also want the century of its inception, rounded to the nearest century.

First, let's identify the entity for "Ille-et-Vilaine" in Wikidata. Then, we'll look for properties related to "location," "coordinate location," and "inception." Finally, we'll need to extract the year of inception and round it to the nearest century.

Let's start by searching for "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]
The main entity for the French department Ille-et-Vilaine is wd:Q12549.

Next, we need to find items that are located in Ille-et-Vilaine. Typically, this is done using the "located in the administrative territorial entity" property. Let's search for the relevant property for "location" or "located in" to confirm the property to use.

[Tool]
Top 10 property alternatives:
1. location, also known as neighbourhood, whereabouts, vilage, venue, town (wd:P276 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): location of the object, structure or event. In the case of an ad...ity use P706. Use P7153 for locations associated with the object
2. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
3. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): person or organization occupying property, used by
4. headquarters location, also known as headquarters locality, seat, headquarters town, HQ, HQ location (wd:P159 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): city or town where an organization's headquarters is or has been situated. Use P276 qualifier for specific building, significant place
5. adjacent building, also known as next to, neighboring building, located next to, adjoining building (wd:P3032 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): building adjacent to the item, connects with
6. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
7. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts
8. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): the narrative of the work is set in this location, significant place, depicts
9. located in the present-day administrative territorial entity, also known as present-day administrative territorial entity, located in the current administrative territorial entity, located in the modern-day administrative territorial entity, located in the present-day administrative territorial entity, would today be located in administrative territorial entity (wd:P3842 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): the item was located in the territory of this present-day administrative unit; however the two did not at any point coexist in time, location, part of
10. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment

[Assistant]
The most appropriate property to use for items located in Ille-et-Vilaine is "located in the administrative territorial entity" (wdt:P131).

Next, we need to get the coordinates for each item. The property for coordinates is "coordinate location" (wdt:P625).

Finally, we need the inception date for each item, which is typically "inception" (wdt:P571). We will extract the year from this date and round it to the nearest century.

Let's confirm the property for "inception" to ensure accuracy.

[Tool]
Top 10 property alternatives:
1. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): time when an entity begins to exist; for date of official opening use P1619, start time
2. location of first performance, also known as premiere, premiered at, premiere held at, premiere location, world premiere (wd:P4647 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): location where a work was first debuted, performed or broadcasted, significant place
3. date of first performance, also known as time of first performance, world premiere date, world premiere, premiere date, premiere (wd:P1191 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): date a work was first debuted, performed or live-broadcasted, publication date
4. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): time of the first public presentation of a subject by the creator, of information by the media, point in time
5. aperture (wd:P7863 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): aperture of a camera lens
6. Israel Museum Jerusalem artist ID, also known as IMAGINE (wd:P7681 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): identifier of a person (artist) in the Israel Museum Jerusalem collection
7. language style, also known as manner, term register, obsolete, register, sense register (wd:P6191 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): to denote of the way a sense of a word is used, e.g., slang, vulgarism, babytalk, colloquialism, etc.
8. torque, also known as moment, moment of force (wd:P2230 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): torque of a machine, a motor/engine/powerplant, or a vehicle
9. catchphrase, also known as has catchphrase, mantra, slogan, tagline, uses catchphrase (wd:P6251 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): commonly used phrase by which someone or something may be recognized
10. has goal, also known as intention, mission, objective, objective of project or action, project of (wd:P3712 as pq/prn/pqn/ps/p/wdt/psv/pr/wdtn/psn/prv/pqv): desired result or outcome

[Assistant]
The property for inception is indeed wdt:P571.

Now, let's build a SPARQL query that:
- Finds items located in Ille-et-Vilaine (wd:Q12549) using wdt:P131.
- Retrieves their coordinates (wdt:P625).
- Retrieves their inception date (wdt:P571), extracts the year, and calculates the nearest century.

We'll also include optional labels for readability. Let's construct and execute this query.

[Tool]
SPARQL execution failed:
Invalid SPARQL query: The target ?itemLabel of an AS clause was already used in the query body.

[Assistant]
The error is due to using the same variable (?itemLabel) in both the OPTIONAL and the SAMPLE aggregation. To fix this, I'll remove the SAMPLE aggregation and just use the OPTIONAL label clause.

Let's retry the query without the aggregation on the label.

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

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves items located in Ille-et-Vilaine, their coordinates, and the century of their inception (rounded to the nearest century), if available. The use of OPTIONAL ensures that missing data does not exclude items from the results. The query also returns the actual IRIs for the items, and labels are included optionally. The computation for the century is performed within SPARQL as required. The output is correct and complete according to the user's request.