PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?minecraft ?date WHERE {
  VALUES ?minecraft {
    wd:Q49740
  }
  ?minecraft wdt:P577 ?date
}
ORDER BY DESC ( ?date )
LIMIT 1

The most recent publication date of "Minecraft" is 2011-11-18.

[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

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 is the most recent publication date of "Minecraft"?

[Assistant]
Let's break down the question:

1. We need to identify the entity for "Minecraft" in Wikidata.
2. We need to find the property that represents "publication date" or "release date".
3. We need to retrieve all publication dates for Minecraft and select the most recent one.

First, I'll search for the entity "Minecraft" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Minecraft, also known as MC, Mine Craft, MineCraft (wd:Q49740): 2011 video game
2. A Minecraft Movie, also known as Minecraft, Minecraft Movie, Minecraft: The Movie (wd:Q40083273): upcoming film directed by Jared Hess
3. Minecraft, also known as Minecraft (franchise), Minecraft franchise (wd:Q25445348): media franchise
4. Minecraft: The Unlikely Tale of ...the Game That Changed Everything, also known as Minecraft (wd:Q20926210): American non-fiction book
5. Minecraft, also known as calm1.ogg (wd:Q125765048): song by C418
6. Minecraft, also known as Untitled Minecraft animated series, Minecraft Animated Series (wd:Q126199422): upcoming animated series
7. Minecraft: Java Edition, also known as Minecraft: JE, Minecraft Java Edition, Minecraft Java, Minecraft, MCJE (wd:Q105729297): 2011 sandbox game developed by Mojang
8. Minecraft (wd:Q112863331): video game series
9. Minecraft (wd:Q125765049): instrumental track by C418; 2011 studio recording
10. Minecraft Dungeons, also known as Minecraft: Dungeons (wd:Q56884780): 2020 video game developed by Mojang and Double Eleven

[Assistant] The main entity for the video game "Minecraft" is wd:Q49740. Now, I need to find the property that represents "publication date" or "release date" for this entity. I'll search for relevant properties using the query "publication date".

[Tool]
Top 10 property alternatives:
1. publication date, also known as launched, published, publication time, publication, pubdate (wd:P577 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): date or point in time when a work was first published or released, point in time
2. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
3. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): geographical place of publication of the edition (use 1st edition when referring to works), significant place
4. published in, also known as song on album, tome of the book, tome of, track of, track on (wd:P1433 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): larger work that a given work was published in, like a book, journal or music album, part of
5. announcement date, also known as released, date teased, made public on, public announcement date, published (wd:P6949 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): time of the first public presentation of a subject by the creator, of information by the media, point in time
6. edition number, also known as number of event, software version number, version number (wd:P393 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of an edition (first, second, ... as 1, 2, ...) or event, series ordinal
7. publisher, also known as video game publisher, software publisher, comic book publisher, sheet music publisher, publishing house (wd:P123 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): organization or person responsible for publishing books, periodicals, printed music, podcasts, games or software
8. distribution format, also known as book format, type of media, publication format, method of distribution, medium (wd:P437 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): method (or type) of distribution for the subject
9. publication interval, also known as frequency of publication, interval of publication, publication cycle, publication frequency, update frequency (wd:P2896 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): standard publication interval for daily or periodical publications, event interval
10. platform, also known as computing platform, runtime, published on, platforms, hardware (wd:P400 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): platform for which a work was developed or released, or the specific platform version of a software product

[Assistant] The most relevant property for "publication date" is wd:P577 ("publication date"). Now, I will check which publication dates are associated with "Minecraft" (wd:Q49740) using this property.

[Tool]
Got 1 row and 3 columns:
| subject               | property                    | object                              |
| --------------------- | --------------------------- | ----------------------------------- |
| Minecraft (wd:Q49740) | publication date (wdt:P577) | 2011-11-18T00:00:00Z (xsd:dateTime) |

[Assistant]
There is one publication date for "Minecraft" (wd:Q49740) in Wikidata: 2011-11-18. Since only one date is present, this is both the first and most recent publication date.

Now, I will write a SPARQL query that returns the most recent publication date for "Minecraft" (wd:Q49740), including the IRI and the date.

[Tool] Stopped generation process


PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?erratum ?erratumLabel ?correctedItem ?itemLabelStripped WHERE {
  ?erratum rdfs:label ?erratumLabel .
  FILTER ( LANG( ?erratumLabel ) = 'en' && STRSTARTS( ?erratumLabel , "Erratum:" ) ) ?erratum wdt:P2507 ?correctedItem .
  ?correctedItem rdfs:label ?itemLabel .
  FILTER ( LANG( ?itemLabel ) = 'en' ) BIND( IF( STRSTARTS( ?itemLabel , "Erratum: " ) , SUBSTR( ?itemLabel , 10 ) , ?itemLabel ) AS ?itemLabelStripped ) FILTER ( STRLEN( ?itemLabelStripped ) > 20 ) FILTER NOT EXISTS {
    ?other wdt:P2507 ?erratum .
    FILTER ( ?other != ?erratum )
  }
}
LIMIT 50

Got 18 rows and 4 columns, showing the first 5 and last 5 rows below:
| erratum                                                                            | erratumLabel                                                             | correctedItem                                                                      | itemLabelStripped                                                        |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ | ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Erratum: Bedside RNA stabilizing...non-neoplastic white blood cells (wd:Q57636801) | Erratum: Bedside RNA stabilizing...non-neoplastic white blood cells (en) | Erratum: Bedside RNA stabilizing...non-neoplastic white blood cells (wd:Q57636801) | Bedside RNA stabilizing kit syst...non-neoplastic white blood cells (en) |
| Erratum: A Comparative Study of ...: Lessons from Current Practices (wd:Q58238877) | Erratum: A Comparative Study of ...: Lessons from Current Practices (en) | Erratum: A Comparative Study of ...: Lessons from Current Practices (wd:Q58238877) | A Comparative Study of Public–Pr...: Lessons from Current Practices (en) |
| Erratum: Mouse Small eye results...red-like homebox-containing gene (wd:Q59028182) | Erratum: Mouse Small eye results...red-like homebox-containing gene (en) | Erratum: Mouse Small eye results...red-like homebox-containing gene (wd:Q59028182) | Mouse Small eye results from mut...red-like homebox-containing gene (en) |
| Erratum: Corrigendum: Reduction ...d5Ge2Si2 by the addition of iron (wd:Q59086095) | Erratum: Corrigendum: Reduction ...d5Ge2Si2 by the addition of iron (en) | Erratum: Reduction of hysteresis...d5Ge2Si2 by the addition of iron (wd:Q59070447) | Reduction of hysteresis losses i...d5Ge2Si2 by the addition of iron (en) |
| Erratum: England and the US corner the journal market (wd:Q59090165)               | Erratum: England and the US corner the journal market (en)               | Erratum: England and US corner the journal market (wd:Q59002888)                   | England and US corner the journal market (en)                            |
| ...                                                                                | ...                                                                      | ...                                                                                | ...                                                                      |
| Erratum:21+→01+transition streng...hys. Rev. C76, 021302(R) (2007)] (wd:Q63388677) | Erratum:21+→01+transition streng...hys. Rev. C76, 021302(R) (2007)] (en) | Erratum:21+→01+transition streng...hys. Rev. C76, 021302(R) (2007)] (wd:Q63388677) | Erratum:21+→01+transition streng...hys. Rev. C76, 021302(R) (2007)] (en) |
| Erratum:"Functional integral the...sional quantum Heisenberg models (wd:Q78175597) | Erratum:"Functional integral the...sional quantum Heisenberg models (en) | Erratum:"Functional integral the...sional quantum Heisenberg models (wd:Q78175597) | Erratum:"Functional integral the...sional quantum Heisenberg models (en) |
| Erratum: ALEXEY V. SHAVRIN ALEŠ ...ups . Zootaxa, 4365 (1): 001-039 (wd:Q88458698) | Erratum: ALEXEY V. SHAVRIN ALEŠ ...ups . Zootaxa, 4365 (1): 001-039 (en) | Erratum: ALEXEY V. SHAVRIN ALEŠ ...ups . Zootaxa, 4365 (1): 001-039 (wd:Q88458698) | Erratum: ALEXEY V. SHAVRIN ALEŠ ...ups . Zootaxa, 4365 (1): 001-039 (en) |
| Erratum: DEON K. BAKKES, CATHERI...ae) . Zootaxa, 4362 (4): 151-212 (wd:Q88458780) | Erratum: DEON K. BAKKES, CATHERI...ae) . Zootaxa, 4362 (4): 151-212 (en) | Erratum: DEON K. BAKKES, CATHERI...ae) . Zootaxa, 4362 (4): 151-212 (wd:Q88458780) | Erratum: DEON K. BAKKES, CATHERI...ae) . Zootaxa, 4362 (4): 151-212 (en) |
| Erratum: AWAL RIYANTO, AMIR HAMI...ndonesia. Zootaxa, 4358: 583-597 (wd:Q88459044) | Erratum: AWAL RIYANTO, AMIR HAMI...ndonesia. Zootaxa, 4358: 583-597 (en) | Erratum: AWAL RIYANTO, AMIR HAMI...ndonesia. Zootaxa, 4358: 583-597 (wd:Q88459044) | Erratum: AWAL RIYANTO, AMIR HAMI...ndonesia. Zootaxa, 4358: 583-597 (en) |

This query returns errata (with English labels starting with "Erratum:") that are not referenced by any item using the "corrigendum / erratum" property, along with their corrected items, where the corrected item's label (after removing the "Erratum: " prefix) is longer than 20 characters.

[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

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 errata (published corrections to previous publications) with English labels starting with "Erratum:" that are not referenced by any item using the "corrigendum / erratum" property? Also, provide their corresponding item labels (after removing the "Erratum: " prefix) and items, where the item labels are longer than 20 characters.

[Assistant]
Let's break down the question:

1. We are looking for items that are errata (published corrections), specifically those with English labels starting with "Erratum:".
2. These errata should NOT be referenced by any item using the "corrigendum / erratum" property.
3. For each such erratum, we want:
   - Its IRI
   - Its English label (starting with "Erratum:")
   - The corresponding item (the publication it corrects) and its label, but only if the item label is longer than 20 characters, and after removing the "Erratum: " prefix from the erratum label.

First, let's identify the relevant properties and entities:
- "corrigendum / erratum" property: Let's search for this property.
- The link from an erratum to the item it corrects: This is likely the inverse of the above property, or a related property.
- We'll need to filter labels starting with "Erratum:" and in English.
- We'll need to check the length of the item label (after removing the prefix).

Let's proceed step by step.

First, search for the "corrigendum / erratum" property.

[Tool]
Top 10 property alternatives:
1. corrigendum / erratum, also known as corrigenda, corrected by, erratum, corrigendum, errata (wd:P2507 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): published notice that corrects or amends a previous publication
2. page(s), also known as page numbers, pp., pgs., pg., pages (wd:P304 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): page number of source referenced for statement. Note "column(s)" (P3903) and "folio(s)" (P7416) for other numbering systems
3. amended by, also known as updated by, revised by, modified by, corrected by, has addendum (wd:P2567 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): document is amended by specified other document
4. stated in, also known as cited from, stated on, stated at, source of claim, originating source (wd:P248 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): to be used in the references field to refer to the information d...805; for the type of document in which a claim is made use P3865
5. place of publication, also known as published in (place), where published, release region, released in, published from (wd:P291 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): geographical place of publication of the edition (use 1st edition when referring to works), significant place
6. source of transfer, also known as from, sender, source, starting point (wd:P12693 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): entity that a transferred item is initially associated with, before this process associates it with another entity
7. source website for the property, also known as website source, Wikidata property source, URL for the property, source website of the property, source URL for the property (wd:P1896 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): URL of website acting as source of data for this Wikidata property, URL
8. location of discovery, also known as found in, location of discovered object, place of discovery, site of discovery, source (wd:P189 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): where the item was located when discovered, significant place
9. floruit, also known as work period, living, known alive in, flourished, fl. (wd:P1317 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): date when the person was known to be active or alive, when birth or death not documented
10. subject named as, also known as established as, established form, established heading, named as, spelled as (wd:P1810 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): name by which a subject is recorded in a database, mentioned as a contributor of a work, or is referred to in a particular context, name

[Assistant]
The relevant property for "corrigendum / erratum" is wd:P2507. This property is used to indicate that a publication is a corrigendum or erratum for another publication.

Now, to find errata with English labels starting with "Erratum:" that are NOT referenced by any item using the "corrigendum / erratum" property, we need to:
- Find all items with English labels starting with "Erratum:"
- For each, check if there is no other item that points to it via wdt:P2507
- For each, get the item it corrects (using wdt:P2507 from the erratum to the publication)
- For each, get the label of the corrected item, and only include those where the label (after removing "Erratum: ") is longer than 20 characters

Next, let's check the direction of wdt:P2507: does the erratum point to the publication, or does the publication point to the erratum? Let's list some triples with property wdt:P2507.

[Tool]
Got 39,022 rows and 3 columns, showing the first 10 rows below:
| subject                                                                            | property                          | object                           |
| ---------------------------------------------------------------------------------- | --------------------------------- | -------------------------------- |
| Abbé Bouillette (wd:Q110983827)                                                    | corrigendum / erratum (wdt:P2507) | family name (wd:Q101352)         |
| 1977 Soviet Constitution (wd:Q645016)                                              | corrigendum / erratum (wdt:P2507) | wd:Q113044425                    |
| Right to Fair Compensation and T...ation and Resettlement Act, 2013 (wd:Q12412221) | corrigendum / erratum (wdt:P2507) | January 1, 2014 (wd:Q17981984)   |
| Foreign Contribution (Regulation) Act, 2010 (wd:Q21190602)                         | corrigendum / erratum (wdt:P2507) | December 13, 2010 (wd:Q22664181) |
| Ninety-seventh Amendment of the Constitution of India (wd:Q75113668)               | corrigendum / erratum (wdt:P2507) | March 29, 2012 (wd:Q17982677)    |
| Jharkhand Appropriation (No. 2) Act, 2009 (wd:Q92738586)                           | corrigendum / erratum (wdt:P2507) | December 23, 2009 (wd:Q12965972) |
| Prevention of Money-laundering (Amendment) Act, 2012 (wd:Q79471711)                | corrigendum / erratum (wdt:P2507) | April 23, 2013 (wd:Q17982231)    |
| 1924 Soviet Constitution (wd:Q2301388)                                             | corrigendum / erratum (wdt:P2507) | wd:Q19177173                     |
| Real Estate (Regulation and Development) Act, 2016 (wd:Q25210947)                  | corrigendum / erratum (wdt:P2507) | 14 May 2016 (wd:Q24714802)       |
| Finance Act, 2017 (wd:Q78053016)                                                   | corrigendum / erratum (wdt:P2507) | May 1, 2017 (wd:Q31442004)       |
| ...                                                                                | ...                               | ...                              |

[Assistant]
From the sample, it appears that the subject of wdt:P2507 is the erratum/corrigendum, and the object is the item being corrected. So, for each erratum, the triple is: [erratum] wdt:P2507 [corrected item].

Now, to find errata not referenced by any item using wdt:P2507, we need to ensure that no other item points to the erratum as its object via wdt:P2507.

Next, let's search for items with English labels starting with "Erratum:".

[Tool]
Got 10 rows and 1 column:
| erratum                                                                             |
| ----------------------------------------------------------------------------------- |
| Erratum: (wd:Q59924906)                                                             |
| Erratum: (wd:Q83588165)                                                             |
| Erratum: (wd:Q93501469)                                                             |
| Erratum: (wd:Q93556604)                                                             |
| Erratum: 0.5 gigapixel microscopy using a flatbed scanner: erratum (wd:Q42605479)   |
| Erratum: 0.5% levobupivacaine ve...d-guided sciatic block?: Erratum (wd:Q87032511)  |
| Erratum: 1,003 reference genomes...and coverage of the tree of life (wd:Q59543713)  |
| Erratum: 10-GHz 4.69-W/mm InAlN/...tus Solidi C 9 , 855-857 (2012)] (wd:Q100331197) |
| Erratum: (1159) Proposal to Reje...pilobium alpinum L. (Onagraceae) (wd:Q28958029)  |
| Erratum: 11B+ alpha reaction rates and primordial nucleosynthesis (wd:Q78088731)    |

[Tool]
Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| erratum                                                                            | label                                                                    |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Erratum: (wd:Q59924906)                                                            | Erratum: (en)                                                            |
| Erratum: (wd:Q83588165)                                                            | Erratum: (en)                                                            |
| Erratum: (wd:Q93501469)                                                            | Erratum: (en)                                                            |
| Erratum: (wd:Q93556604)                                                            | Erratum: (en)                                                            |
| Erratum: 0.5 gigapixel microscopy using a flatbed scanner: erratum (wd:Q42605479)  | Erratum: 0.5 gigapixel microscopy using a flatbed scanner: erratum (en)  |
| ...                                                                                | ...                                                                      |
| Erratum: A blueprint for the pri...blished, modifiable risk factors (wd:Q92165288) | Erratum: A blueprint for the pri...blished, modifiable risk factors (en) |
| Erratum: Abma, T., et al. Sowing...Res. Public Health 2020, 17, 451 (wd:Q94556813) | Erratum: Abma, T., et al. Sowing...Res. Public Health 2020, 17, 451 (en) |
| Erratum: A Bog and Its Bryophytes (wd:Q111477922)                                  | Erratum: A Bog and Its Bryophytes (en)                                   |
| Erratum: Abolition of the expres...egulatory protein Gi in diabetes (wd:Q58973240) | Erratum: Abolition of the expres...egulatory protein Gi in diabetes (en) |
| Erratum: Above-room-temperature ...ngle-component molecular crystal (wd:Q59033099) | Erratum: Above-room-temperature ...ngle-component molecular crystal (en) |

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

[Assistant]
The previous query timed out, likely due to the OPTIONAL clause and the potentially large result set. To optimize, let's focus on a smaller batch and only retrieve errata with their corrected items, then later filter out those referenced by any other item via wdt:P2507.

Let's try with a smaller LIMIT and only get the erratum, its label, and the corrected item.

[Tool]
Got 29 rows and 3 columns, showing the first 5 and last 5 rows below:
| erratum                                                                             | label                                                                    | correctedItem                                                                      |
| ----------------------------------------------------------------------------------- | ------------------------------------------------------------------------ | ---------------------------------------------------------------------------------- |
| Erratum: Erythropoietin Gene Pol... Brain Injury in Preterm Infants (wd:Q100449885) | Erratum: Erythropoietin Gene Pol... Brain Injury in Preterm Infants (en) | Erythropoietin Gene Polymorphism... Brain Injury in Preterm Infants (wd:Q90711041) |
| Erratum: "Study of SF6 adsorptio...Chem. Phys. 131, 124709 (2009)]. (wd:Q30275109)  | Erratum: "Study of SF6 adsorptio...Chem. Phys. 131, 124709 (2009)]. (en) | Erratum: "Erratum: Study of SF6 ...Chem. Phys. 145, 249901 (2016)]. (wd:Q45062451) |
| Erratum: MIGUEL SIMÓ, ARNO A. LI...osinae). Zootaxa, 4216: 261–278. (wd:Q46351581)  | Erratum: MIGUEL SIMÓ, ARNO A. LI...osinae). Zootaxa, 4216: 261–278. (en) | Erratum: MIGUEL SIMÓ, ARNO A. LI...osinae). Zootaxa, 4216: 261–278. (wd:Q46351581) |
| Erratum: Measurement of Branchin...s. Rev. Lett. 98, 211804 (2007)] (wd:Q57019506)  | Erratum: Measurement of Branchin...s. Rev. Lett. 98, 211804 (2007)] (en) | Publisher’s Note: Erratum: Measu.... Rev. Lett. 100, 189903 (2008)] (wd:Q58362790) |
| Erratum: corrigendum: Fungus-gro...eria to control garden parasites (wd:Q57231530)  | Erratum: corrigendum: Fungus-gro...eria to control garden parasites (en) | Fungus-growing ants use antibiot...eria to control garden parasites (wd:Q57231534) |
| ...                                                                                | ...                                                                      | ...                                                                                |
| Erratum:''Multicolor detection o...ars. II. Five objects with z>a'' (wd:Q68425894)  | Erratum:''Multicolor detection o...ars. II. Five objects with z>a'' (en) | Erratum:''Multicolor detection o...ars. II. Five objects with z>a'' (wd:Q68425894) |
| Erratum:"Functional integral the...sional quantum Heisenberg models (wd:Q78175597)  | Erratum:"Functional integral the...sional quantum Heisenberg models (en) | Erratum:"Functional integral the...sional quantum Heisenberg models (wd:Q78175597) |
| Erratum: ALEXEY V. SHAVRIN ALEŠ ...ups . Zootaxa, 4365 (1): 001-039 (wd:Q88458698)  | Erratum: ALEXEY V. SHAVRIN ALEŠ ...ups . Zootaxa, 4365 (1): 001-039 (en) | Erratum: ALEXEY V. SHAVRIN ALEŠ ...ups . Zootaxa, 4365 (1): 001-039 (wd:Q88458698) |
| Erratum: DEON K. BAKKES, CATHERI...ae) . Zootaxa, 4362 (4): 151-212 (wd:Q88458780)  | Erratum: DEON K. BAKKES, CATHERI...ae) . Zootaxa, 4362 (4): 151-212 (en) | Erratum: DEON K. BAKKES, CATHERI...ae) . Zootaxa, 4362 (4): 151-212 (wd:Q88458780) |
| Erratum: AWAL RIYANTO, AMIR HAMI...ndonesia. Zootaxa, 4358: 583-597 (wd:Q88459044)  | Erratum: AWAL RIYANTO, AMIR HAMI...ndonesia. Zootaxa, 4358: 583-597 (en) | Erratum: AWAL RIYANTO, AMIR HAMI...ndonesia. Zootaxa, 4358: 583-597 (wd:Q88459044) |

[Assistant]
Now we have a sample of errata with their labels and the items they correct. The next step is to filter out errata that are referenced by any other item via wdt:P2507 (i.e., no other item should have wdt:P2507 pointing to the erratum).

We also need to get the label of the corrected item, and only include those where the label (after removing "Erratum: ") is longer than 20 characters.

Let's construct a SPARQL query that:
- Finds errata with English labels starting with "Erratum:"
- Each erratum points to a corrected item via wdt:P2507
- No other item points to the erratum via wdt:P2507
- Gets the label of the corrected item (in English)
- Only includes results where the label of the corrected item is longer than 20 characters

Let's write this query.

[Tool]
Got 18 rows and 4 columns, showing the first 5 and last 5 rows below:
| erratum                                                                            | erratumLabel                                                             | correctedItem                                                                      | correctedLabel                                                           |
| ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ | ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------ |
| Erratum: Bedside RNA stabilizing...non-neoplastic white blood cells (wd:Q57636801) | Erratum: Bedside RNA stabilizing...non-neoplastic white blood cells (en) | Erratum: Bedside RNA stabilizing...non-neoplastic white blood cells (wd:Q57636801) | Erratum: Bedside RNA stabilizing...non-neoplastic white blood cells (en) |
| Erratum: A Comparative Study of ...: Lessons from Current Practices (wd:Q58238877) | Erratum: A Comparative Study of ...: Lessons from Current Practices (en) | Erratum: A Comparative Study of ...: Lessons from Current Practices (wd:Q58238877) | Erratum: A Comparative Study of ...: Lessons from Current Practices (en) |
| Erratum: Mouse Small eye results...red-like homebox-containing gene (wd:Q59028182) | Erratum: Mouse Small eye results...red-like homebox-containing gene (en) | Erratum: Mouse Small eye results...red-like homebox-containing gene (wd:Q59028182) | Erratum: Mouse Small eye results...red-like homebox-containing gene (en) |
| Erratum: Corrigendum: Reduction ...d5Ge2Si2 by the addition of iron (wd:Q59086095) | Erratum: Corrigendum: Reduction ...d5Ge2Si2 by the addition of iron (en) | Erratum: Reduction of hysteresis...d5Ge2Si2 by the addition of iron (wd:Q59070447) | Erratum: Reduction of hysteresis...d5Ge2Si2 by the addition of iron (en) |
| Erratum: England and the US corner the journal market (wd:Q59090165)               | Erratum: England and the US corner the journal market (en)               | Erratum: England and US corner the journal market (wd:Q59002888)                   | Erratum: England and US corner the journal market (en)                   |
| ...                                                                                | ...                                                                      | ...                                                                                | ...                                                                      |
| Erratum:21+→01+transition streng...hys. Rev. C76, 021302(R) (2007)] (wd:Q63388677) | Erratum:21+→01+transition streng...hys. Rev. C76, 021302(R) (2007)] (en) | Erratum:21+→01+transition streng...hys. Rev. C76, 021302(R) (2007)] (wd:Q63388677) | Erratum:21+→01+transition streng...hys. Rev. C76, 021302(R) (2007)] (en) |
| Erratum:"Functional integral the...sional quantum Heisenberg models (wd:Q78175597) | Erratum:"Functional integral the...sional quantum Heisenberg models (en) | Erratum:"Functional integral the...sional quantum Heisenberg models (wd:Q78175597) | Erratum:"Functional integral the...sional quantum Heisenberg models (en) |
| Erratum: ALEXEY V. SHAVRIN ALEŠ ...ups . Zootaxa, 4365 (1): 001-039 (wd:Q88458698) | Erratum: ALEXEY V. SHAVRIN ALEŠ ...ups . Zootaxa, 4365 (1): 001-039 (en) | Erratum: ALEXEY V. SHAVRIN ALEŠ ...ups . Zootaxa, 4365 (1): 001-039 (wd:Q88458698) | Erratum: ALEXEY V. SHAVRIN ALEŠ ...ups . Zootaxa, 4365 (1): 001-039 (en) |
| Erratum: DEON K. BAKKES, CATHERI...ae) . Zootaxa, 4362 (4): 151-212 (wd:Q88458780) | Erratum: DEON K. BAKKES, CATHERI...ae) . Zootaxa, 4362 (4): 151-212 (en) | Erratum: DEON K. BAKKES, CATHERI...ae) . Zootaxa, 4362 (4): 151-212 (wd:Q88458780) | Erratum: DEON K. BAKKES, CATHERI...ae) . Zootaxa, 4362 (4): 151-212 (en) |
| Erratum: AWAL RIYANTO, AMIR HAMI...ndonesia. Zootaxa, 4358: 583-597 (wd:Q88459044) | Erratum: AWAL RIYANTO, AMIR HAMI...ndonesia. Zootaxa, 4358: 583-597 (en) | Erratum: AWAL RIYANTO, AMIR HAMI...ndonesia. Zootaxa, 4358: 583-597 (wd:Q88459044) | Erratum: AWAL RIYANTO, AMIR HAMI...ndonesia. Zootaxa, 4358: 583-597 (en) |

[Assistant]
The query successfully finds errata with English labels starting with "Erratum:" that are not referenced by any other item using the "corrigendum / erratum" property, and provides their corrected items with labels longer than 20 characters.

However, to fully match your request, we should also:
- Remove the "Erratum: " prefix from the erratum label when presenting the corresponding item label.
- Ensure the length check is on the corrected item's label after removing the prefix.

Let's update the query to:
- Return the erratum IRI, erratum label, corrected item IRI, and the corrected item's label with the "Erratum: " prefix removed (if present).
- Only include results where the corrected item's label (after removing "Erratum: ") is longer than 20 characters.

Here is the improved SPARQL query:

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX geof: <http://www.opengis.net/def/function/geosparql/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?commune ?northernmost ?lat ?lon ?name WHERE {
  ?commune wdt:P31 wd:Q747074 ; wdt:P1332 ?northernmost .
  BIND( geof:latitude ( ?northernmost ) AS ?lat ) BIND( geof:longitude ( ?northernmost ) AS ?lon ) FILTER ( ?lat > 45.606795 ) OPTIONAL {
    ?commune rdfs:label ?name FILTER ( lang( ?name ) = "en" )
  }
}
ORDER BY DESC ( ?lat )

All Italian communes whose northernmost point is at a latitude greater than the southernmost point of Trieste (45.606795) are included in the result. For each commune, the query provides its Wikidata identifier, name (if available), and the latitude and longitude of its northernmost point, ordered from northernmost to southernmost.

[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

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 communes of Italy have their northernmost point at a latitude greater than the southernmost point of Trieste? Please include their names, northernmost latitude, and northernmost longitude, and order by from northernmost to southernmost.

[Assistant]
Let's break down the question:

1. We need to find the southernmost point of Trieste (a commune in Italy).
2. Then, we need to find all Italian communes whose northernmost point has a latitude greater than that southernmost point.
3. For each such commune, we need to return its name, the latitude and longitude of its northernmost point.
4. The results should be ordered from northernmost to southernmost (i.e., descending latitude).

Step 1: Find the entity for Trieste and the property for "southernmost point".

I'll start by searching for "Trieste" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Trieste, also known as Trst (wd:Q546): city and seaport in northeastern Italy
2. Province of Trieste, also known as provincia di Trieste, Trieste, Trieste Province (wd:Q16293): former province in Italy
3. Bathyscaphe Trieste, also known as Trieste (wd:Q850157): deep sea scientific submarine
4. Trieste – Friuli Venezia Giulia Airport, also known as Ronchi dei Legionari Airport, LIPQ, TRS, Trieste (wd:Q893154): airport
5. Trieste (wd:Q2529025): 1926 Trento-class cruiser
6. Trieste (wd:Q25345688): 2019 light aircraft carrier
7. Trieste (wd:Q543584): 17th quarter of Rome, Italy
8. Trieste (wd:Q18507012): human settlement in Italy
9. Trst, also known as Trieste (wd:Q26233899): 1951 film by France Štiglic
10. Trieste (wd:Q92755536): 2020 song by Lucio Corsi

[Assistant]
The correct entity for the city of Trieste is wd:Q546.

Next, I need to find the property for "southernmost point". I'll search for properties related to "southernmost point" in Wikidata.

[Tool]
Top 10 property alternatives:
1. coordinates of southernmost point, also known as southernmost point coordinates, wikibase:geoLatitude ?min, southerly, farthest south, most south (wd:P1333 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): southernmost point of a place. For administrative entities this includes offshore islands
2. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
3. coordinates of westernmost point, also known as westerly point, wikibase:geoLongitude ?W, westernmost point coordinates, most western, extreme west (wd:P1335 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): westernmost point of a location
4. coordinates of easternmost point, also known as coordinate of easternmost point, easterly, easternmost point coordinates, extreme point east, farthest east (wd:P1334 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): easternmost point of a location
5. lowest point, also known as extreme point deepest, extreme point lowest, deepest point (wd:P1589 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): point with lowest elevation in a region or path
6. coordinates of northernmost point, also known as coordinate of northernmost point, extreme point north, farthest north, most northerly, northerly (wd:P1332 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): northernmost point of a location. For an administrative entity this includes offshore islands
7. located in or next to body of water, also known as located on body of water, ocean, on bay, next to lake, on coast of (wd:P206 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): body of water on or next to which a place is located, location
8. coordinates of geographic center, also known as coordinates of geographic centre, geographic centre, geographic center, geographical midpoint, geographical centre (wd:P5140 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, coordinate location
9. highest point, also known as tallest point, zenith, summit, pinnacle, highest peak (wd:P610 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): point with highest elevation in a region or path, has part(s)
10. applies to jurisdiction, also known as belongs to jurisdiction, applies to territorial jurisdiction, applies to region, applies to place, applies to geographic place (wd:P1001 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area

[Assistant]
The property for "coordinates of southernmost point" is wd:P1333, and for "coordinates of northernmost point" is wd:P1332.

Now, I will check if Trieste (wd:Q546) has a value for "coordinates of southernmost point" (wd:P1333), and retrieve its latitude.

[Tool]
Got 1 row and 3 columns:
| subject           | property                                      | object                                      |
| ----------------- | --------------------------------------------- | ------------------------------------------- |
| Trieste (wd:Q546) | coordinates of southernmost point (wdt:P1333) | POINT(13.807135 45.606795) (geo:wktLiteral) |

[Assistant]
Trieste's southernmost point is at latitude 45.606795 (longitude 13.807135).

Next, I need to find all Italian communes whose northernmost point (wd:P1332) has a latitude greater than 45.606795. I will also need to ensure that the entities are Italian communes.

First, let's confirm the entity for "commune of Italy" so we can restrict the search to these entities. I'll search for "commune of Italy" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. commune of Italy, also known as Italian municipality, Italian commune, comune of Italy, Gemeinde (South Tirol), commune (Aosta Valley) (wd:Q747074): municipal divisions of Italy
2. commune of Italy, also known as commune (Aosta Valley), comune of Italy, Italian municipality, Gemeinde (South Tirol), Italian commune (wd:Q747074): municipal divisions of Italy
3. Ofatinți, also known as Ofatinţi, Commune of Ofatinţi (wd:Q20858764): commune in Transnistria, Moldova
4. Commune of Ofrynio (wd:Q21406782): local administration unit of Pangaio Municipality, Greece
5. Italy, also known as Italia, Republic of Italy, Repubblica Italiana, Italian Republic, ITA (wd:Q38): country in Southern Europe
6. pope, also known as Vicar of Jesus Christ, Bishop of Rome, Vicar of Christ, The Pope, Supreme Pontiff (wd:Q19546): leader of the worldwide Catholic Church
7. Brescia, also known as Lioness of Italy (wd:Q6221): Italian city in Lombardy
8. Italy men's national association football team, also known as Team of Italy, The Azzurri, Italy NT, Italy national team, Italy national football team (wd:Q676899): men's national association football team representing Italy
9. flag of Italy, also known as flag of the Italian Republic, Italian flag, Italy flag, national flag of Italy, Tricolor (wd:Q42876): national flag of the Italian Republic
10. Kingdom of Italy, also known as IT, Italy, Regno d’Italia (wd:Q172579): kingdom in Southern Europe from 1861 to 1946

[Assistant]
The correct entity for "commune of Italy" is wd:Q747074.

Now, I need to find all entities that are instances of (wdt:P31) "commune of Italy" (wd:Q747074), and have a value for "coordinates of northernmost point" (wd:P1332) with a latitude greater than 45.606795.

I also need to extract the latitude and longitude from the coordinate value, and get the commune's name (label). Finally, I will order the results by latitude descending.

Let's construct the SPARQL query accordingly.

[Tool]
Got 1,798 rows and 5 columns, showing the first 5 and last 5 rows below:
| commune                      | northernmost                                | lat                   | lon                   | name                 |
| ---------------------------- | ------------------------------------------- | --------------------- | --------------------- | -------------------- |
| Prettau (wd:Q474195)         | POINT(12.185959 47.092146) (geo:wktLiteral) | 47.0921 (xsd:decimal) | 12.186 (xsd:decimal)  | Prettau (en)         |
| Ahrntal (wd:Q402903)         | POINT(12.050942 47.061914) (geo:wktLiteral) | 47.0619 (xsd:decimal) | 12.0509 (xsd:decimal) | Ahrntal (en)         |
| Pfitsch (wd:Q504607)         | POINT(11.627212 47.013302) (geo:wktLiteral) | 47.0133 (xsd:decimal) | 11.6272 (xsd:decimal) | Pfitsch (en)         |
| Brenner (wd:Q375769)         | POINT(11.478767 47.010980) (geo:wktLiteral) | 47.011 (xsd:decimal)  | 11.4788 (xsd:decimal) | Brenner (en)         |
| Sand in Taufers (wd:Q376944) | POINT(12.112018 47.008134) (geo:wktLiteral) | 47.0081 (xsd:decimal) | 12.112 (xsd:decimal)  | Sand in Taufers (en) |
| ...                          | ...                                         | ...                   | ...                   | ...                  |
| Brusnengo (wd:Q18027)        | POINT(8.253526 45.609907) (geo:wktLiteral)  | 45.6099 (xsd:decimal) | 8.25353 (xsd:decimal) | Brusnengo (en)       |
| Cesate (wd:Q42811)           | POINT(9.066045 45.609875) (geo:wktLiteral)  | 45.6099 (xsd:decimal) | 9.06605 (xsd:decimal) | Cesate (en)          |
| Ghisalba (wd:Q101139)        | POINT(9.751834 45.609438) (geo:wktLiteral)  | 45.6094 (xsd:decimal) | 9.75183 (xsd:decimal) | Ghisalba (en)        |
| Vicenza (wd:Q6537)           | POINT(11.559847 45.609107) (geo:wktLiteral) | 45.6091 (xsd:decimal) | 11.5598 (xsd:decimal) | Vicenza (en)         |
| Varedo (wd:Q40815)           | POINT(9.175813 45.608459) (geo:wktLiteral)  | 45.6085 (xsd:decimal) | 9.17581 (xsd:decimal) | Varedo (en)          |

[Tool] Stopped generation process


SELECT ?war ?warLabel ?start ?end ?durationDays WHERE {
  ?war wdt:P31 wd:Q198.
  OPTIONAL { ?war rdfs:label ?warLabel FILTER (LANG(?warLabel) = "en") }
  OPTIONAL { ?war wdt:P580 ?start. }
  OPTIONAL { ?war wdt:P582 ?end. }
  OPTIONAL { ?war wdt:P2047 ?durationSeconds. }
  BIND(
    IF(BOUND(?durationSeconds),
      xsd:decimal(?durationSeconds) / 86400,
      IF(BOUND(?start) && BOUND(?end),
        (xsd:decimal(xsd:dateTime(?end)) - xsd:decimal(xsd:dateTime(?start))) / 86400,
        UNDEF
      )
    ) AS ?durationDays
  )
  FILTER(BOUND(?durationDays))
}
ORDER BY ?durationDays ?start
LIMIT 15

This query will return the 15 shortest wars on Wikidata, including their start and end times, and duration in days (either from the duration property in seconds or calculated from the difference between start and end times).

[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

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 shortest wars on Wikidata? Please include their start times, end times, and duration in days (calculated either from the duration in seconds or from the difference between the start and end times, if available). Order results by duration and start time, and limit to 15 rows.

[Assistant]
Let's break down the question:

1. We are looking for wars (conflicts) on Wikidata.
2. For each war, we want:
   - Start time
   - End time
   - Duration in days (either from a duration property in seconds, or calculated from start and end times)
3. We want to order by duration (ascending), then by start time, and limit to 15 results.

Step 1: Find the entity for "war" or "conflict" on Wikidata.
Step 2: Find properties for start time, end time, and duration.
Step 3: Construct a query that gets wars, their start/end times, and duration, and calculates duration in days if needed.

Let's proceed step by step.

First, let's search for the entity for "war".

[Tool]
Top 10 entity alternatives:
1. war, also known as hostilities, military conflict, wars (wd:Q198): organized and prolonged violent conflict between states
2. Waray, also known as Lineyte-Samarnon, war, Waray language, Waray (Philippines), Waray-Waray (wd:Q34279): Visayan language primarily spoken in the islands of Samar and Eastern Leyte
3. Axl Rose, also known as William Axl Rose, William Bruce Bailey, William "Bill" Bailey, W. Axl Rose, William Rose (wd:Q11885): singer-songwriter, American singer, vocalist, musician, activist, pianist
4. War (wd:Q331811): 1983 studio album by U2
5. War, also known as Rogue, Rogue Assassin (wd:Q375512): 2007 film directed by Philip Atwell
6. War, also known as War, West Virginia, War, WV (wd:Q2058013): city in West Virginia, United States
7. A War, also known as Krigen, War (wd:Q19590783): 2015 film by Tobias Lindholm
8. War (wd:Q64390886): 2019 film directed by Siddharth Anand
9. The War, also known as War (wd:Q1167231): 1994 film by Jon Avnet
10. War, also known as The War (wd:Q866673): 2002 film by Aleksei Balabanov

[Assistant]
The main entity for "war" as a type of conflict is wd:Q198.

Next, let's find properties for start time, end time, and duration. I'll search for these properties to confirm their IDs.

[Tool]
Top 10 property alternatives:
1. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): time an entity begins to exist or a statement starts being valid, point in time
2. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): time when an entity begins to exist; for date of official opening use P1619, start time
3. work period (start), also known as start working, flourished (start), start time for work, start date of activity, fl. (start) (wd:P2031 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): start of period during which a person or group flourished (fl. = "floruit") in their professional activity, start time, floruit
4. earliest date, also known as no earlier than, terminus post quem, start date (earliest), on or after this date, minimum date (wd:P1319 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): earliest date at which an event could have happened. Use as qualifier for other date properties
5. UTC date of spacecraft launch, also known as time of spacecraft launch, spacecraft launch time, spacecraft launch date, launch time, launch date (wd:P619 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): date of spacecraft launch in UTC
6. refine date, also known as date refinement, exact time, hour, local time, quarter (wd:P4241 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): qualifier to narrow down the precision of a date not fully specified by the Wikidata time datatype precision field
7. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
8. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): genomic starting coordinate of the biological sequence (e.g. a gene)
9. start point, also known as start location, launch pad, launch site, starting place, starting point (wd:P1427 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): starting place of this journey, flight, voyage, trek, migration etc., source of transfer, location
10. opening time, also known as hour opens, opens at, opening hour, open hour (wd:P8626 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): time when an establishment or attraction opens, qualifier for P3025

[Tool]
Top 10 property alternatives:
1. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
2. end period, also known as until period (wd:P3416 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): last period in which the statement is still valid (including the period-value)
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): dissolved, abolished or demolished date, date on which the subject died, end time
4. work period (end), also known as floruit end, floruit (end of work), flourished (end), retirement, work ends (wd:P2032 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): end of period during which a person or group flourished (fl. = "floruit") in their professional activity, end time, floruit
5. destination of transfer, also known as recipient, to, target, receiver, end point (wd:P12694 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): entity that a transferred item comes to be associated with as a result of this process
6. terminus, also known as end point, terminating connection, termini, terminuses, trailhead (wd:P559 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): the feature (intersecting road, train station, etc.) at the end of a linear feature
7. dissolved, abolished or demolished date, also known as ended, publication end date, final issue, date repealed, final year (wd:P576 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): point in time at which the subject (organisation, building) ceas...g equipment,  "discontinued date" (P2669) for stopping a product, end time
8. end cause, also known as cause of ending, ended by, end has cause, end reason, reason for end (wd:P1534 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): qualifier used together with the end date qualifier (P582) to specify the reason for the end
9. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
10. last line, also known as closing line, ending, excipit, final line, final sentence (wd:P3132 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): last line (excipit) of a poem, last sentence of a novel, etc.

[Tool]
Top 10 property alternatives:
1. duration, also known as time length, timespan, time span, time interval, runtime (wd:P2047 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): length of time of an event or process
2. valid in period, also known as valid in season, valid for season, valid for period, valid for, time period (wd:P1264 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): time period when a statement is valid
3. term length of position, also known as term length, time in position, term of position, position term, length of term (wd:P2097 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): length of time in years (unit: Q577) a person (usually a politician) is to serve in a particular position. Do not add bounds., duration
4. life expectancy, also known as life span, lifespan (wd:P2250 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): average life expectancy for this group or species, duration
5. length, also known as size, long, LOA, distance, dimension (wd:P2043 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): measured dimension of an object
6. point in time, also known as at time, as of, year, when, time of event (wd:P585 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): date something took place, existed or a statement was true; for providing time use the "refine date" property (P4241)
7. end time, also known as ends, stop time, endtime, fall date, ineffective (wd:P582 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): moment when an entity ceases to exist and a statement stops being entirely valid or no longer be true, point in time
8. time gap, also known as gap (wd:P2911 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): time gap to winner time (P2781)
9. torque, also known as moment, moment of force (wd:P2230 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): torque of a machine, a motor/engine/powerplant, or a vehicle
10. number of episodes, also known as series length, no. of episodes, episodes, episode count (wd:P1113 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): number of episodes in a film/TV/radio series, number of parts of this work

[Tool]
Top 10 entity alternatives:
1. conflict, also known as disagreement, conflicts, disputes, disagreements, dispute (wd:Q180684): friction, disagreement, or discord within a group or between different groups
2. La Violencia, also known as Conflict (wd:Q185407): civil war in Colombia between 1925 and 1960
3. Conflict (wd:Q429952): British anarcho-punk band
4. conflict, also known as literary conflict, narrative conflict (wd:Q4231815): literary element; challenge that the main characters must face to achieve their goals
5. Conflict (wd:Q1403651): 1945 film directed by Curtis Bernhardt
6. Conflict (wd:Q3553437): 1936 American drama film
7. The Conflict, also known as Conflict (wd:Q21183767): 1916 film by Ralph Ince
8. sòng, also known as ䷅, Arguing, Conflict, hexagram 6, Hexagram for Conflict (wd:Q4446085): hexagram
9. Conflict (wd:Q4231812): 1983 film by Garri Bardin
10. Conflict (wd:Q10547565): 1937 film by Per-Axel Branner

[Tool]
Top 10 entity alternatives:
1. battle, also known as ⚔, combat (wd:Q178561): part of a war which is well defined in duration, area and force commitment
2. Battle, also known as Battle, East Sussex (wd:Q737593): town and civil parish in the local government district of Rother in East Sussex, England
3. Fairey Battle, also known as Battle, Battle bomber, Battle aircraft (wd:Q1330167): light bomber family by Fairey
4. The Battle, also known as Battle (wd:Q1985718): 1911 film by D. W. Griffith
5. La Bataille, also known as Bataille, Battle, The Battle (wd:Q3206480): 1923 film by Édouard-Émile Violet and Sessue Hayakawa
6. The Battle, also known as Battle (wd:Q7715819): 1934 film directed by Nicolas Farkas, Viktor Tourjansky
7. Battle (wd:Q626570): South Korean band
8. Battle, also known as Y Batel (wd:Q13132454): village in the county of Powys, Wales
9. Battle (wd:Q59385219): 2018 film by Katarina Launing
10. Battle, also known as Battle, WY (wd:Q4869943): unincorporated community in Wyoming

[Tool]
Got 5 rows and 1 column:
| war                                                             |
| --------------------------------------------------------------- |
| Social War of 220-217 BCE (wd:Q1006077)                         |
| Mongol conquest of the Jin dynasty (wd:Q1014253)                |
| Burgundy War (wd:Q1016077)                                      |
| Böckler War (wd:Q1019601)                                       |
| Fujiwara no Nakamaro's planned invasion of Silla (wd:Q10307032) |

[Tool]
Top 10 property alternatives:
1. participant, also known as suspect, player, party, participants, has participant (wd:P710 as wdt/p): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., significant person
2. history of topic, also known as history of the topic, timeline of subject, timeline of the subject, timeline of the topic, timeline of topic (wd:P2184 as wdt/p): item about the historical development of a subject's topic, exam... To list key events of the topic, use "significant event" (P793), studied in
3. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as wdt/p): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
4. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
5. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. has effect, also known as has symptom, implies, leads to, led to, outcome (wd:P1542 as wdt/p): effect of this item, followed by
7. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as wdt/p): main Wikidata property for this item
8. has cause, also known as implied by, originated due to, initial cause, outcome of, reason (wd:P828 as wdt/p): underlying cause, entity that ultimately resulted in this effect, follows
9. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
10. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in

No other items found

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                               | property             | object            |
| ----------------------------------------------------- | -------------------- | ----------------- |
| human pregnancy (wd:Q11995)                           | duration (wdt:P2047) | 38 (xsd:decimal)  |
| Go, Dog. Go! (wd:Q104750296)                          | duration (wdt:P2047) | 24 (xsd:decimal)  |
| Bad Cat (wd:Q11252497)                                | duration (wdt:P2047) | 85 (xsd:decimal)  |
| Pulp Fiction (wd:Q104123)                             | duration (wdt:P2047) | 154 (xsd:decimal) |
| Diwali (wd:Q10244)                                    | duration (wdt:P2047) | 5 (xsd:decimal)   |
| Harry Potter and the Philosopher's Stone (wd:Q102438) | duration (wdt:P2047) | 152 (xsd:decimal) |
| WALL-E (wd:Q104905)                                   | duration (wdt:P2047) | 98 (xsd:decimal)  |
| Harry Potter and the Chamber of Secrets (wd:Q102244)  | duration (wdt:P2047) | 161 (xsd:decimal) |
| 2001: A Space Odyssey (wd:Q103474)                    | duration (wdt:P2047) | 143 (xsd:decimal) |
| Passover (wd:Q121393)                                 | duration (wdt:P2047) | 7 (xsd:decimal)   |
| ...                                                   | ...                  | ...               |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 3 columns

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                               | property             | object            |
| ----------------------------------------------------- | -------------------- | ----------------- |
| human pregnancy (wd:Q11995)                           | duration (wdt:P2047) | 38 (xsd:decimal)  |
| Go, Dog. Go! (wd:Q104750296)                          | duration (wdt:P2047) | 24 (xsd:decimal)  |
| Bad Cat (wd:Q11252497)                                | duration (wdt:P2047) | 85 (xsd:decimal)  |
| Pulp Fiction (wd:Q104123)                             | duration (wdt:P2047) | 154 (xsd:decimal) |
| Diwali (wd:Q10244)                                    | duration (wdt:P2047) | 5 (xsd:decimal)   |
| Harry Potter and the Philosopher's Stone (wd:Q102438) | duration (wdt:P2047) | 152 (xsd:decimal) |
| WALL-E (wd:Q104905)                                   | duration (wdt:P2047) | 98 (xsd:decimal)  |
| Harry Potter and the Chamber of Secrets (wd:Q102244)  | duration (wdt:P2047) | 161 (xsd:decimal) |
| 2001: A Space Odyssey (wd:Q103474)                    | duration (wdt:P2047) | 143 (xsd:decimal) |
| Passover (wd:Q121393)                                 | duration (wdt:P2047) | 7 (xsd:decimal)   |
| ...                                                   | ...                  | ...               |

[Tool]
Got 20 rows and 5 columns, showing the first 5 and last 5 rows below:
| war                                                             | warLabel                                              | start                               | end                                 | duration |
| --------------------------------------------------------------- | ----------------------------------------------------- | ----------------------------------- | ----------------------------------- | -------- |
| Social War of 220-217 BCE (wd:Q1006077)                         | Social War of 220-217 BCE (en)                        | -219-01-01T00:00:00Z (xsd:dateTime) | -216-01-01T00:00:00Z (xsd:dateTime) |          |
| Mongol conquest of the Jin dynasty (wd:Q1014253)                | Mongol conquest of the Jin dynasty (en)               | 1211-01-01T00:00:00Z (xsd:dateTime) | 1234-01-01T00:00:00Z (xsd:dateTime) |          |
| Burgundy War (wd:Q1016077)                                      | Burgundy War (en)                                     | 0523-01-01T00:00:00Z (xsd:dateTime) | 0524-01-01T00:00:00Z (xsd:dateTime) |          |
| Böckler War (wd:Q1019601)                                       | Böckler War (en)                                      | 1468-01-01T00:00:00Z (xsd:dateTime) | 1469-01-01T00:00:00Z (xsd:dateTime) |          |
| Fujiwara no Nakamaro's planned invasion of Silla (wd:Q10307032) | Fujiwara no Nakamaro's planned invasion of Silla (en) |                                     |                                     |          |
| ...                                                             | ...                                                   | ...                                 | ...                                 | ...      |
| French-Algerian War 1681–88 (wd:Q104881979)                     | French-Algerian War 1681–88 (en)                      | 1681-01-01T00:00:00Z (xsd:dateTime) | 1688-01-01T00:00:00Z (xsd:dateTime) |          |
| Burmese–Siamese War of 1792-1794 (wd:Q104901667)                | Burmese–Siamese War of 1792-1794 (en)                 | 1792-03-01T00:00:00Z (xsd:dateTime) | 1794-03-01T00:00:00Z (xsd:dateTime) |          |
| Cayuse War (wd:Q1052060)                                        | Cayuse War (en)                                       | 1847-01-01T00:00:00Z (xsd:dateTime) | 1855-01-01T00:00:00Z (xsd:dateTime) |          |
| Three Hundred and Thirty Five Years' War (wd:Q1054482)          | Three Hundred and Thirty Five Years' War (en)         | 1651-03-30T00:00:00Z (xsd:dateTime) | 1651-06-01T00:00:00Z (xsd:dateTime) |          |
| Three Hundred and Thirty Five Years' War (wd:Q1054482)          | Three Hundred and Thirty Five Years' War (en)         | 1651-03-30T00:00:00Z (xsd:dateTime) | 1986-04-17T00:00:00Z (xsd:dateTime) |          |

[Assistant]
From the previous results, we see that:
- Wars are instances of wd:Q198.
- Start time is wdt:P580, end time is wdt:P582.
- Duration (wdt:P2047) is rarely filled for wars, so we will mostly need to calculate the duration from start and end times.
- Some wars have multiple end times (e.g., Three Hundred and Thirty Five Years' War), so we should handle that.

To answer the question, we need to:
- For each war with both start and end times, calculate the duration in days.
- If duration (wdt:P2047) is present and in seconds, convert it to days.
- Order by duration (ascending), then by start time.
- Limit to 15 results.

Let's write a SPARQL query that:
- Selects wars with both start and end times.
- Calculates duration in days as (end - start) / 86400.
- If duration (wdt:P2047) is present and in seconds, uses that instead.
- Orders and limits as requested.

Here is the query:

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?referencedItem WHERE {
  wd:Q56025286 wdt:P2860 ?referencedItem
}

Wikidata does not currently contain structured data about items referenced in the publication 'Echinoderms from Australia, an account of collections made in 1929 and 1932' (wd:Q56025286). There are no 'cites work' (P2860) or 'stated in' (P248) statements involving this publication, so it is not possible to retrieve referenced items, their synonyms, roles, or page numbers from Wikidata at this time.

[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

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 referenced in the publication "Echinoderms from Australia, an account of collections made in 1929 and 1932," along with their best-ranked synonym (if any), roles of the references (if available), and page numbers (if available)?

[Assistant]
Let's break down the question:

1. The publication is "Echinoderms from Australia, an account of collections made in 1929 and 1932." I need to find its entity in Wikidata.
2. I need to find items referenced in this publication. In Wikidata, this is typically modeled with "stated in" (P248) or "reference" properties.
3. For each referenced item, I need:
   - The best-ranked synonym (if any)
   - The role of the reference (if available)
   - The page number (if available)

First, I will search for the publication entity in Wikidata.

[Tool]
Top 10 entity alternatives:
1. Echinoderms from Australia, an a...ollections made in 1929 and 1932 (wd:Q56025286): scholarly article published in 1938
2. Ethics Education in the Qualific...s from Australia and New Zealand (wd:Q114690922): scientific article published in 2018
3. Collections from Colonial Austra...Challenges of Data Accessibility (wd:Q126710518): scientific article from 2023
4. A Study and Inspiration from the...tancy Organizations in Australia (wd:Q121062843): scholarly article in Journal of Audit & Economics, no. 2, 2010
5. Identification of Australians fr...national health data collections (wd:Q31014249): scientific article
6. Current issues in PhD supervisio...e from Australia and New Zealand (wd:Q126671214): scholarly article
7. An Investigation into the Diffus...ounting Innovations in Australia (wd:Q110650325)
8. The Volatility of Excess in Cult...diate-and-Real-Life Observations (wd:Q128533261): scholarly article
9. Hallucinations and toxicologic f...de from an anticholinergic plant (wd:Q100420076): scientific article published on 01 September 2020
10. New foliar pathogens of Eucalyptus from Australia and Indonesia (wd:Q99859337): scientific article published in May 1998

[Assistant]
The publication "Echinoderms from Australia, an account of collections made in 1929 and 1932" corresponds to Wikidata entity wd:Q56025286.

Next, I need to find items referenced in this publication. In Wikidata, references to items within a publication are often modeled using properties like "stated in" (P248), "reference" (P2860), or "reference URL" (P854), but for items referenced within a publication, the property "reference to work" (P2860) is most likely.

I'll search for properties related to "reference" to confirm the best property to use.

[Tool]
Top 10 property alternatives:
1. inventory number, also known as control number, shelfmark, reference number, reference, object number (wd:P217 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): identifier for a physical object or a set of physical objects in a collection
2. references work, tradition or theory, also known as alludes to, references (wd:P8371 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): creative work, tradition or theory this creative work references...cific properties have a look at "see also" on the property page)
3. cites work, also known as references, works cited, citation, bibliographic citation (wd:P2860 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): citation from one creative or scholarly work to another, references work, tradition or theory
4. reference URL, also known as URL fonte, webref, URL ref, URL, site (wd:P854 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): should be used for Internet URLs as references. Use "Wikimedia import URL" (P4656) for imports from WMF sites, URL
5. reference has role, also known as has role, refrole, source has role (wd:P6184 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): role, or specific nature, of the given reference
6. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
7. object named as, also known as original wording, place name string, printed as, reference wording, [sic] (wd:P1932 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): use as qualifier to indicate how the object's value was given in the source, name
8. reference illustration, also known as illustration, scientific illustration, technical illustration (wd:P13162 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): an illustration of this subject to provide a detailed reference ...It should be ideally tied to the primary literature on the item., schematic
9. quotation, also known as citation, excerpt, quote (wd:P1683 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): quotation supporting the statement claim (to be used in the reference or qualifier field only, no quote marks), quotation or excerpt
10. legal citation of this text, also known as case citation, statute citation, regulation citation, parallel citation, neutral citation (wd:P1031 as wdt/psv/psn/prn/pqv/ps/p/prv/pr/wdtn/pq/pqn): legal citation of legislation or a court decision.

[Assistant]
The most relevant property for items referenced in a publication is "cites work" (P2860). For roles of the reference, "reference has role" (P6184) is the relevant property, and for page numbers, "page(s)" (P304) is commonly used as a qualifier.

Next, I will list triples where the subject is the publication (wd:Q56025286) and the property is "cites work" (wdt:P2860) to find the referenced items.

[Tool] Got no rows and 3 columns

[Assistant]
It appears that there are no direct "cites work" (P2860) statements from the publication "Echinoderms from Australia, an account of collections made in 1929 and 1932" (wd:Q56025286) in Wikidata. This suggests that the referenced items may not be modeled using this property, or the references are not yet entered in Wikidata.

As an alternative, I will check if there are any statements where this publication is used as a reference (i.e., as a value for "stated in" (P248)), which could indicate items that are referenced in the publication.

I will list triples where the property is "stated in" (P248) and the object is wd:Q56025286.

[Tool] Got no rows and 3 columns

[Assistant]
There are no statements in Wikidata where "Echinoderms from Australia, an account of collections made in 1929 and 1932" (wd:Q56025286) is used as a reference via the "stated in" (P248) property either. This means that, as of now, Wikidata does not contain structured data about items referenced in this publication.

Therefore, I am unable to construct a SPARQL query that returns the referenced items, their synonyms, reference roles, or page numbers for this publication from Wikidata, because this information is not present in the knowledge graph.

If you have another publication or a different type of query, please let me know!

[Tool] Stopped generation process