PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?erratum ?erratumLabel ?strippedLabel WHERE {
  ?erratum rdfs:label ?erratumLabel .
  FILTER ( lang( ?erratumLabel ) = "en" && STRSTARTS( ?erratumLabel , "Erratum: " ) ) ?erratum wdt:P31 wd:Q1348305 . MINUS {
    ?any wdt:P2507 ?erratum .
  }
  BIND( STRAFTER( ?erratumLabel , "Erratum: " ) AS ?strippedLabel ) FILTER ( STRLEN( ?strippedLabel ) > 20 )
}
ORDER BY ?erratum
LIMIT 1000

Using entities:
erratum (wd:Q1348305), also known as correction, correction slip, corrigenda, corrigendum, errata, etc.

Using properties:
corrigendum / erratum (wd:P2507 as wdt), also known as corrected by, corrigenda, corrigendum, errata, erratum, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Got 1,000 rows and 3 columns, showing the first 5 and last 5 rows below:
| erratum                                                                                | erratumLabel                                                                                | strippedLabel                                                                                |
| ------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------- |
| Erratum: Novel Aptamer-Functionalized Nanoparticles Enhances Bone Defect Repair by Improving Stem Cell Recruitment [Corrigendum] (wd:Q100298620) | Erratum: Novel Aptamer-Functionalized Nanoparticles Enhances Bone Defect Repair by Improving Stem Cell Recruitment [Corrigendum] (en) | Novel Aptamer-Functionalized Nanoparticles Enhances Bone Defect Repair by Improving Stem Cell Recruitment [Corrigendum] (en) |
| Erratum: Iron Oxide Nanoparticles Promote the Migration of Mesenchymal Stem Cells to Injury Sites [Corrigendum] (wd:Q100298621)                  | Erratum: Iron Oxide Nanoparticles Promote the Migration of Mesenchymal Stem Cells to Injury Sites [Corrigendum] (en)                  | Iron Oxide Nanoparticles Promote the Migration of Mesenchymal Stem Cells to Injury Sites [Corrigendum] (en)                  |
| Erratum: Fabrication and Characterization of Glimepiride ... and in vitro α-Glucosidase Inhibition [Corrigendum] (wd:Q100298624)                 | Erratum: Fabrication and Characterization of Glimepiride ... and in vitro α-Glucosidase Inhibition [Corrigendum] (en)                 | Fabrication and Characterization of Glimepiride ... and in vitro α-Glucosidase Inhibition [Corrigendum] (en)                 |
| Erratum: Oral Administration of Encapsulated Bovine ... Intracellular Parasite Toxoplasma gondii [Corrigendum] (wd:Q100298692)                   | Erratum: Oral Administration of Encapsulated Bovine ... Intracellular Parasite Toxoplasma gondii [Corrigendum] (en)                   | Oral Administration of Encapsulated Bovine Lactoferrin ... Intracellular Parasite Toxoplasma gondii [Corrigendum] (en)       |
| Erratum: A Predictive Model Offor Attention Deficit Hyperactivity Disorder Based on Clinical Assessment Tools [Corrigendum] (wd:Q100298712)      | Erratum: A Predictive Model Offor Attention Deficit Hyperactivity Disorder Based on Clinical Assessment Tools [Corrigendum] (en)      | A Predictive Model Offor Attention Deficit Hyperactivity Disorder Based on Clinical Assessment Tools [Corrigendum] (en)      |
| ...                                                                                | ...                                                                                | ...                                                                                |
| Erratum: Microsciurus santanderensis (Rodentia: Sciuridae) (wd:Q128097279)                                                                       | Erratum: Microsciurus santanderensis (Rodentia: Sciuridae) (en)                                                                       | Microsciurus santanderensis (Rodentia: Sciuridae) (en)                                                                       |
| Erratum: Integrating Indigenous Knowledge and Western Science into Forestry, Natural Resources, and Environmental Programs (wd:Q128099106)       | Erratum: Integrating Indigenous Knowledge and Western Science into Forestry, Natural Resources, and Environmental Programs (en)       | Integrating Indigenous Knowledge and Western Science into Forestry, Natural Resources, and Environmental Programs (en)       |
| Erratum: An Agent-Based Model of Heterogeneous Forest Landowner Decision-making (wd:Q128101685)                                                  | Erratum: An Agent-Based Model of Heterogeneous Forest Landowner Decision-making (en)                                                  | An Agent-Based Model of Heterogeneous Forest Landowner Decision-making (en)                                                  |
| Erratum: Endoscopic Features of Upper Gastrointestinal Tract in Patients with Systemic Sclerosis Compared to the Healthy Control (wd:Q128156738) | Erratum: Endoscopic Features of Upper Gastrointestinal Tract in Patients with Systemic Sclerosis Compared to the Healthy Control (en) | Endoscopic Features of Upper Gastrointestinal Tract in Patients with Systemic Sclerosis Compared to the Healthy Control (en) |
| Erratum: Lieu, J.; et al. Evaluating Consistency in ... and Contextual Interactions. Sustainability 2018, 10, 1896 (wd:Q128177025)               | Erratum: Lieu, J.; et al. Evaluating Consistency in ... and Contextual Interactions. Sustainability 2018, 10, 1896 (en)               | Lieu, J.; et al. Evaluating Consistency in Environmental ... and Contextual Interactions. Sustainability 2018, 10, 1896 (en) |

Answer:
Summary of results and query

Steps and reasoning (brief):
1) Identify relevant class and property: "erratum" is wd:Q1348305 and the "corrigendum / erratum" property is wdt:P2507. I verified both by searching the knowledge graph.
2) Goal: find items whose English rdfs:label starts with "Erratum: ", are instances of erratum (wd:Q1348305), are NOT referenced by any item using wdt:P2507, and for each return the label with the prefix removed. Additionally, only include those whose stripped label length is > 20 characters.
3) Constructed the SPARQL query above. To avoid heavy joins and timeouts I returned the erratum item IRI, the English label, and the stripped label. (An optional join to find an item whose label exactly equals the stripped label is possible but expensive on the endpoint; if you want that I can provide a paged approach.)
4) Executed the query (the endpoint returned the first 1,000 matching rows). I also ran a COUNT query to determine the total result size.

What I executed and results:
- Final executed query (the one above): returns ?erratum (IRI), ?erratumLabel (English label starting with "Erratum: "), and ?strippedLabel (English label with the prefix removed). The query excludes erratum items that are the object of any wdt:P2507 (corrigendum / erratum) statement and keeps only stripped labels longer than 20 characters. I ordered by ?erratum and limited the result to 1000 rows to ensure the query completes.
- Total number of matching items (using a separate COUNT query): 5,630.
- The query above returned 1,000 results (first page). Example rows (erratum IRI — stripped label):
  - wd:Q100298620 — Novel Aptamer-Functionalized Nanoparticles Enhances Bone Defect Repair by Improving Stem Cell Recruitment [Corrigendum]
  - wd:Q100298621 — Iron Oxide Nanoparticles Promote the Migration of Mesenchymal Stem Cells to Injury Sites [Corrigendum]
  - wd:Q100298624 — Fabrication and Characterization of Glimepiride ... and in vitro α-Glucosidase Inhibition [Corrigendum]
  - wd:Q100298692 — Oral Administration of Encapsulated Bovine Lactoferrin ... Intracellular Parasite Toxoplasma gondii [Corrigendum]
  - wd:Q100298712 — A Predictive Model Offor Attention Deficit Hyperactivity Disorder Based on Clinical Assessment Tools [Corrigendum]
  - wd:Q100598179 — Thermal softening induced subduction initiation at a passive margin
  - wd:Q100598181 — Numerical simulation of acoustic emission in brittle rocks by two-dimensional finite-discrete element analysis
  - wd:Q100598182 — Anisotropic poroelasticity and wave-induced fluid flow: harmonic finite-element simulations
  - wd:Q100598183 — ‘Representation of complex seismic sources by orthogonal moment–tensor fields’
  - wd:Q128097279 — Microsciurus santanderensis (Rodentia: Sciuridae)

Notes and next steps:
- The full result set contains 5,630 matching erratum items. If you want the complete list, I can:
  a) provide the same query without LIMIT (may time out on the endpoint), or
  b) provide a paginated approach (run the query with LIMIT/OFFSET in repeated steps), or
  c) add an optional join to find a Wikidata item whose English label exactly matches the stripped label (this will be more expensive; I can implement it with pagination if desired).

If you want, tell me whether you prefer the full dump (I can page through all results and return them), or that I also try to match each stripped label to a Wikidata item (and return the matched QIDs) — I will then run the appropriate paged queries and return the full list.

SPARQL query used (again):

SELECT ?erratum ?erratumLabel ?strippedLabel WHERE {
  ?erratum rdfs:label ?erratumLabel .
  FILTER(lang(?erratumLabel) = "en" && STRSTARTS(?erratumLabel, "Erratum: "))
  ?erratum wdt:P31 wd:Q1348305 .
  MINUS { ?any wdt:P2507 ?erratum . }
  BIND(STRAFTER(?erratumLabel, "Erratum: ") AS ?strippedLabel)
  FILTER(STRLEN(?strippedLabel) > 20)
} ORDER BY ?erratum LIMIT 1000

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.

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[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] Step 1: I'll search for the entity for "erratum" (the concept of a published correction) in Wikidata to identify the class/item I should use (e.g., instance of erratum). I'll look up "erratum" and related labels. Then I'll search for the property "corrigendum / erratum" to find its property identifier. I'll explain each step and run queries to verify identifiers. I'll start by searching for the "erratum" entity.

[Tool]
Top 10 entity alternatives:
1. erratum (wd:Q1348305), also known as correction, correction slip, corrigenda, corrigendum, errata, etc.: published correction to a previous publication / published correction to a previous publication / is subclass of declarative sentence / is instance of document genre / is subclass of written work / is subclass of publication / is subclass of correction
2. Erratum (wd:Q9254813): 2011 film by Marek Lechki / is instance of film
3. Erratum (wd:Q122976218): correction of the article, "The neurogenic and myogenic hypotheses in human (Duchenne) muscular dystrophy" / scientific article published in June 1974 / scientific article published in June 1974 / is instance of scholarly article / is instance of academic article / is instance of erratum
4. Erratum (wd:Q122932163): scientific article published on 20 August 2000 / scientific article published on 20 August 2000 / scientific article published on 20 August 2000 / is instance of scholarly article / is instance of academic article / is instance of erratum
5. Erratum (wd:Q123461938): scientific article published on 30 September 1995 / is instance of scholarly article / is instance of academic article / is instance of erratum
6. Erratum (wd:Q123460458): is instance of scholarly article / is instance of academic article / is instance of erratum
7. Erratum (wd:Q125097399): is instance of scholarly article / is instance of academic article / is instance of erratum
8. ERRATUM (wd:Q124834252): scientific article published in 1983 / is instance of scholarly article / is instance of academic article / is instance of erratum
9. Erratum/ (wd:Q130572639): scientific article published in 2010 / is instance of scholarly article / is instance of academic article / is instance of erratum
10. Erratum (wd:Q124219273): peer reviewed, open access article published in Economía / is instance of academic journal article / is instance of مقال  في مجلة اكاديمية / is instance of scholarly article / is instance of academic article / is instance of erratum

[Assistant] Next I'll search for the property "corrigendum / erratum" to find property id (likely P??). Then I'll verify.

[Tool]
Top 10 property alternatives:
1. corrigendum / erratum (wd:P2507 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as corrected by, corrigenda, corrigendum, errata, erratum, etc.: published notice that corrects or amends a previous publication / a published correction to a previous publication
2. amended by (wd:P2567 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via corrected by), also known as altered by, changed by, corrected by, has addendum, modified by, etc.: document is amended by specified other document
3. Wikidata property example (wd:P1855 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via example of property), also known as e.g., eg, example, Example item for this property, example of property, etc.: example where this Wikidata property is used; target item is ... the property being described given the associated value / example where this Wikidata property is used / Example where this Wikidata property is used
4. front and back matter (wd:P8570 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via addendum), also known as abbreviations table, acknowledgment, addendum, afterword, appendix, etc.: is subproperty of has part(s) of the class / is subproperty of has parts of the class / front and back matter of a book
5. modified version of (wd:P5059 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via revision of), also known as adaptation of, arrangement of, fork of, modification of, revised version of, etc.: indicates the work or one of its versions which served as a ... or arrangement resulting in the given version of the work / is subproperty of based on
6. archives at (wd:P485 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via correspondence at), also known as archive location, correspondence at, papers at, P485: the institution holding the subject's archives / the institution holding the subject's archives / is subproperty of significant place
7. property proposal discussion (wd:P3254 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via Wikidata property proposal), also known as discussion, discussion URL, property discussion, property discussion URL, proposal, etc.: URL of the page (or page section) on which the creation of the property was discussed / is subproperty of Wikimedia community discussion URL
8. Stitcher show ID (wd:P9004 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via P9004), also known as P9004: identifier for a podcast on Stitcher
9. uses property (wd:P3176 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn), also known as analyzes property, analyzes Wikidata property, discusses property, discusses Wikidata property, property used, etc.: Wikidata property used, discussed, or otherwise analyzed in this work (not the meaning of the property itself) / Wikidata property used, discussed, or otherwise analyzed in this work (not the meaning of the property itself) / is subproperty of uses
10. properties for this type (wd:P1963 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via uses property), also known as has properties, has property, properties for this class, property for this class, property for this type, etc.: when this subject is used as object of “instance of”, the following properties normally apply / when this subject is used as object of “instance of”, the following properties normally apply

[Assistant] I will verify the property P2507 existence and inspect its usage. I'll list some triples where P2507 is used to see how it references errata.

[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 Transparency in Land Acquisition, Rehabilitation 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) |
| Jharkhand Appropriation (No. 2) Act, 2009 (wd:Q92738586)                                                                  | corrigendum / erratum (wdt:P2507) | December 23, 2009 (wd:Q12965972) |
| Ninety-seventh Amendment of the Constitution of India (wd:Q75113668)                                                      | corrigendum / erratum (wdt:P2507) | March 29, 2012 (wd:Q17982677)    |
| Prevention of Money-laundering (Amendment) Act, 2012 (wd:Q79471711)                                                       | corrigendum / erratum (wdt:P2507) | April 23, 2013 (wd:Q17982231)    |
| Information Technology (Amendment) Act, 2008 (wd:Q92738413)                                                               | corrigendum / erratum (wdt:P2507) | July 21, 2009 (wd:Q14615611)     |
| Foreign Trade (Development and Regulation) Amendment Act, 2010 (wd:Q92291804)                                             | corrigendum / erratum (wdt:P2507) | September 9, 2010 (wd:Q22664104) |
| Finance Act, 2017 (wd:Q78053016)                                                                                | corrigendum / erratum (wdt:P2507) | May 1, 2017 (wd:Q31442004)       |
| ...                                                                                | ...                               | ...                              |

[Assistant] Now I'll list the triples for the class "erratum" (wd:Q1348305) to double-check its presence and usage. I'll call the list function to inspect some statements for that entity.

[Tool]
Got 240 rows and 3 columns, showing the first 10 rows below:
| subject               | property                        | object                                      |
| --------------------- | ------------------------------- | ------------------------------------------- |
| erratum (wd:Q1348305) | instance of (wdt:P31)           | document genre (wd:Q107478770)              |
| erratum (wd:Q1348305) | Commons category (wdt:P373)     | Errata                                      |
| erratum (wd:Q1348305) | subclass of (wdt:P279)          | publication (wd:Q732577)                    |
| erratum (wd:Q1348305) | Freebase ID (wdt:P646)          | /m/041tgv                                   |
| erratum (wd:Q1348305) | described by source (wdt:P1343) | wd:Q2041543                                 |
| erratum (wd:Q1348305) | different from (wdt:P1889)      | expression of concern (wd:Q56478376)        |
| erratum (wd:Q1348305) | NL CR AUT ID (wdt:P691)         | ph222822                                    |
| erratum (wd:Q1348305) | UMLS CUI (wdt:P2892)            | C0282417                                    |
| erratum (wd:Q1348305) | exact match (wdt:P2888)         | <http://purl.org/coar/resource_type/c_7acd> |
| erratum (wd:Q1348305) | Quora topic ID (wdt:P3417)      | Erratum                                     |
| ...                   | ...                             | ...                                         |

[Assistant]
The user asks: "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."

Plan:
- Find items that are instance of erratum (wd:Q1348305) or perhaps items with label starting "Erratum:" and subclass/instance of erratum. The user specifically: errata with English labels starting with "Erratum:" — so filter by rdfs:label literal with language "en" and string starting "Erratum:".
- Ensure these items are not referenced by any item using property wdt:P2507 (corrigendum / erratum). That means no triple ?anyItem wdt:P2507 ?erratumItem . So we must check for absence.
- Also provide "their corresponding item labels (after removing the 'Erratum: ' prefix) and items, where the item labels are longer than 20 characters." So for each erratum item found, look for the associated original item? Wait "their corresponding item labels (after removing the 'Erratum: ' prefix) and items, where the item labels are longer than 20 characters." Interpreting: probably there exist items whose labels are "Erratum: <Original title>". They want the "corresponding item labels" which is the label of the original item obtained by removing "Erratum: " prefix. And "and items" probably means the original item's Q item (if exists). But those original items may not exist. The phrasing ambiguous. I think they want: for each erratum item (with label "Erratum: X"), show X (label with prefix removed) and show the item corresponding to X if such an item exists in Wikidata (i.e., find an item whose label equals X). And only include pairs where the original item label is >20 characters. Alternatively they may mean: show erratum items where the label length after removing prefix is >20 characters. But "where the item labels are longer than 20 characters" — which item? "their corresponding item labels ... and items, where the item labels are longer than 20 characters." I think they want original item labels longer than 20 characters. So I'll interpret: find erratum items with English label starting "Erratum: " and which are not the object of any wdt:P2507 statement; for each, compute the stripped label = label after removing prefix, and try to find an item whose label equals that stripped label (in English). Then only return results where the stripped label length > 20 characters. Include both the erratum item and the corresponding matched item (if any). But if there's no corresponding item, maybe return no item. The user asked "and items" meaning include items. So we should include the matched corresponding item QID. If multiple matches, include them. Also include the stripped label value. Also the erratum item IRI must be returned (primary). All should be done in SPARQL.

Implementation steps:

- Start with selecting ?erratum where ?erratum rdfs:label ?label FILTER(lang(?label)="en" && STRSTARTS(?label,"Erratum: ")) and ?erratum wdt:P31/wdt:P279? instance/subclass of erratum? The item might be instance of erratum or instance of academic article with instance of erratum. But search results earlier show many erratum articles are instance of scholarly article and instance of erratum. But to be safe, require either ?erratum wdt:P31 wd:Q1348305 OR ?erratum (wdt:P31/wdt:P279*) wd:Q1348305? Better: require that ?erratum wdt:P31/wdt:P279* wd:Q1348305. But wdt: chains not supported; use property path with direct property wdt:P31/wdt:P279? In many endpoints property path is allowed. QLever may support property path? Usually yes. Use (wdt:P31/wdt:P279*)? But wdt: are direct claims; property path with wdt may not be allowed. But earlier note: allowed prefixes include wdt. QLever supports property paths. I'll attempt: ?erratum wdt:P31/wdt:P279* wd:Q1348305. Alternatively include also ?erratum wdt:P31 wd:Q1348305 OR ?erratum wdt:P279 wd:Q1348305. I'll use property path: (?erratum wdt:P31/wdt:P279* wd:Q1348305). If that fails may need revisions but we must execute queries.

- Ensure not referenced by any item via property wdt:P2507: FILTER NOT EXISTS { ?any wdt:P2507 ?erratum }

- Compute stripped label: use STRAFTER(?label, "Erratum: ") as ?strippedLabel.

- Filter length: use STRLEN(?strippedLabel) > 20.

- Find corresponding items: optional { ?orig rdfs:label ?strippedLabel FILTER(lang(?strippedLabel) = "en" but ?strippedLabel is not lang-tagged — it's a string; but rdfs:label is literal with language; so we need to match string equality: ?orig rdfs:label ?origLabel FILTER(lang(?origLabel)="en" && ?origLabel = ?strippedLabel). But comparing typed literals to plain strings may be tricky. Use STR(?origLabel) = ?strippedLabel. But ?strippedLabel is plain string. So set ?origLabel variable and use lang and STR. Specifically: OPTIONAL { ?orig rdfs:label ?origLabel FILTER(lang(?origLabel)="en" && STR(?origLabel) = ?strippedLabel) }

- Return ?erratum and ?label and ?strippedLabel and ?orig and ?origLabel maybe.

- Order by ?erratum.

Construct query now.

I'll explain reasoning then run function to execute query.

Let's craft SPARQL:

SELECT ?erratum ?label ?strippedLabel ?orig ?origLabel WHERE {
  ?erratum rdfs:label ?label .
  FILTER(lang(?label)="en" && STRSTARTS(?label,"Erratum: "))
  # ensure instance of erratum (class)
  ?erratum wdt:P31/wdt:P279* wd:Q1348305 .
  FILTER NOT EXISTS { ?any wdt:P2507 ?erratum. }
  BIND(STRAFTER(?label,"Erratum: ") AS ?strippedLabel)
  FILTER(STRLEN(?strippedLabel) > 20)
  OPTIONAL {
    ?orig rdfs:label ?origLabel .
    FILTER(lang(?origLabel)="en" && STR(?origLabel) = ?strippedLabel)
  }
}

I'll run it.

I'll execute a SPARQL query that finds English-labelled items starting with "Erratum:", ensures they are instances/subclasses of erratum, excludes those referenced by any item via P2507, strips the prefix, filters for stripped labels longer than 20 characters, and optionally finds an item with the stripped label in English. Now I'll run the query.

[Tool]
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Tool]
Got 200 rows and 2 columns, showing the first 5 and last 5 rows below:
| erratum                                                                                | label                                                                                |
| ------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------- |
| Erratum: Novel Aptamer-Functionalized Nanoparticles Enhances Bone Defect Repair by Improving Stem Cell Recruitment [Corrigendum] (wd:Q100298620) | Erratum: Novel Aptamer-Functionalized Nanoparticles Enhances Bone Defect Repair by Improving Stem Cell Recruitment [Corrigendum] (en) |
| Erratum: Iron Oxide Nanoparticles Promote the Migration of Mesenchymal Stem Cells to Injury Sites [Corrigendum] (wd:Q100298621)                  | Erratum: Iron Oxide Nanoparticles Promote the Migration of Mesenchymal Stem Cells to Injury Sites [Corrigendum] (en)                  |
| Erratum: Fabrication and Characterization of Glimepiride ... and in vitro α-Glucosidase Inhibition [Corrigendum] (wd:Q100298624)                 | Erratum: Fabrication and Characterization of Glimepiride ... and in vitro α-Glucosidase Inhibition [Corrigendum] (en)                 |
| Erratum: Oral Administration of Encapsulated Bovine ... Intracellular Parasite Toxoplasma gondii [Corrigendum] (wd:Q100298692)                   | Erratum: Oral Administration of Encapsulated Bovine ... Intracellular Parasite Toxoplasma gondii [Corrigendum] (en)                   |
| Erratum: A Predictive Model Offor Attention Deficit Hyperactivity Disorder Based on Clinical Assessment Tools [Corrigendum] (wd:Q100298712)      | Erratum: A Predictive Model Offor Attention Deficit Hyperactivity Disorder Based on Clinical Assessment Tools [Corrigendum] (en)      |
| ...                                                                                | ...                                                                                |
| Erratum: Thermal softening induced subduction initiation at a passive margin (wd:Q100598179)                                                     | Erratum: Thermal softening induced subduction initiation at a passive margin (en)                                                     |
| Erratum: Numerical simulation of acoustic emission in brittle rocks by two-dimensional finite-discrete element analysis (wd:Q100598181)          | Erratum: Numerical simulation of acoustic emission in brittle rocks by two-dimensional finite-discrete element analysis (en)          |
| Erratum: Anisotropic poroelasticity and wave-induced fluid flow: harmonic finite-element simulations (wd:Q100598182)                             | Erratum: Anisotropic poroelasticity and wave-induced fluid flow: harmonic finite-element simulations (en)                             |
| Erratum: ‘Representation of complex seismic sources by orthogonal moment–tensor fields’ (wd:Q100598183)                                          | Erratum: ‘Representation of complex seismic sources by orthogonal moment–tensor fields’ (en)                                          |
| Erratum: Numerical experiments of fracture-induced velocity and attenuation anisotropy (wd:Q100598184)                                           | Erratum: Numerical experiments of fracture-induced velocity and attenuation anisotropy (en)                                           |

[Assistant] I'll run a SPARQL query that finds items with English labels starting with "Erratum:", that are direct instances of erratum (wd:Q1348305), are not referenced by any item via the property P2507, strips the "Erratum: " prefix, filters for stripped labels longer than 20 characters, and optionally finds an item with the stripped label in English.

[Tool]
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Assistant] I'll run a simpler query variant that uses OPTIONAL to detect incoming P2507 references (so we can filter out items that are referenced) and binds the stripped label early to reduce result size.

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

[Assistant] I'll avoid repeating the AS binding. I'll restructure query: BIND(STRAFTER(?erratumLabel, "Erratum: ") AS ?strippedLabel) only once. Also avoid using ( ... AS ?) in SELECT. Let's craft final query.

[Tool]
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Assistant] I'll run a smaller, simpler query using MINUS instead of NOT EXISTS and keeping a LIMIT to avoid timeouts. This will find English labels starting with "Erratum:", require instance of erratum, compute the stripped label, filter length > 20, exclude any that are referenced by P2507 using MINUS, and optionally match an item with the stripped label. I'll limit to 500 results.

[Tool]
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Tool]
Got 1 row and 1 column:
| count           |
| --------------- |
| 13369 (xsd:int) |

[Assistant]
There are many items. Server timeouts earlier due to large result set or heavy query operations. To avoid timeouts, I should narrow query approach. Possibly use a subquery to find errata not referenced by P2507 using FILTER NOT EXISTS with a LIMIT per page — but need full results. However user didn't ask for huge set; they want those where stripped label length >20. That will reduce but still many.

To reduce load, maybe avoid pattern ?erratum wdt:P31 wd:Q1348305 and instead rely only on label starts with "Erratum: " because many errata items are instance of erratum; but must be accurate. Alternatively use values to limit? But need all.

Strategy: run query in steps: first find sample results to test. For example get first 50 erratum labels with stripped length > 20 and not referenced. We'll use LIMIT 100 and OFFSET approach across iterations. But final answer must include SPARQL query that returns actual identifiers. The assistant must execute final SPARQL query before answering; okay but must ensure it runs. If the full query times out, perhaps it's acceptable to return a query that will run; but instructions require executing final query.

Given timeouts, better to craft query that uses SERVICE? Not allowed. But maybe property path wdt:P31/wdt:P279* is heavy; earlier direct wdt:P31 wd:Q1348305 worked and was used in count. The heavy part likely MINUS {} or OPTIONAL label matching across full dataset. To reduce workload, remove optional orig matching and just return erratum and strippedLabel. Later, the user also asked for corresponding items where labels longer than 20 characters — ambiguous. But they wanted "their corresponding item labels (after removing the 'Erratum: ' prefix) and items" — I can interpret as returning the stripped label and if possible item matching it. But optional matching caused heavy join. Maybe first produce only erratum items and stripped labels; then for each, optional match could be done later. But rules: must always execute final SPARQL query before giving an answer. So final query can be simpler: return ?erratum, ?strippedLabel. Let's attempt that; hopefully it's lighter.

Query: SELECT ?erratum ?erratumLabel (STRAFTER(?erratumLabel,"Erratum: ") AS ?strippedLabel) WHERE { ?erratum rdfs:label ?erratumLabel FILTER(lang(?erratumLabel)="en" && STRSTARTS(?erratumLabel,"Erratum: ")) ?erratum wdt:P31 wd:Q1348305 . MINUS { ?any wdt:P2507 ?erratum } FILTER(STRLEN(STRAFTER(?erratumLabel,"Erratum: "))>20) } LIMIT 5000

Use LIMIT e.g., 1000. Let's try limit 1000.

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

[Tool]
Got 1,000 rows and 3 columns, showing the first 5 and last 5 rows below:
| erratum                                                                                | erratumLabel                                                                                | strippedLabel                                                                                |
| ------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------- |
| Erratum: Novel Aptamer-Functionalized Nanoparticles Enhances Bone Defect Repair by Improving Stem Cell Recruitment [Corrigendum] (wd:Q100298620) | Erratum: Novel Aptamer-Functionalized Nanoparticles Enhances Bone Defect Repair by Improving Stem Cell Recruitment [Corrigendum] (en) | Novel Aptamer-Functionalized Nanoparticles Enhances Bone Defect Repair by Improving Stem Cell Recruitment [Corrigendum] (en) |
| Erratum: Iron Oxide Nanoparticles Promote the Migration of Mesenchymal Stem Cells to Injury Sites [Corrigendum] (wd:Q100298621)                  | Erratum: Iron Oxide Nanoparticles Promote the Migration of Mesenchymal Stem Cells to Injury Sites [Corrigendum] (en)                  | Iron Oxide Nanoparticles Promote the Migration of Mesenchymal Stem Cells to Injury Sites [Corrigendum] (en)                  |
| Erratum: Fabrication and Characterization of Glimepiride ... and in vitro α-Glucosidase Inhibition [Corrigendum] (wd:Q100298624)                 | Erratum: Fabrication and Characterization of Glimepiride ... and in vitro α-Glucosidase Inhibition [Corrigendum] (en)                 | Fabrication and Characterization of Glimepiride ... and in vitro α-Glucosidase Inhibition [Corrigendum] (en)                 |
| Erratum: Oral Administration of Encapsulated Bovine ... Intracellular Parasite Toxoplasma gondii [Corrigendum] (wd:Q100298692)                   | Erratum: Oral Administration of Encapsulated Bovine ... Intracellular Parasite Toxoplasma gondii [Corrigendum] (en)                   | Oral Administration of Encapsulated Bovine Lactoferrin ... Intracellular Parasite Toxoplasma gondii [Corrigendum] (en)       |
| Erratum: A Predictive Model Offor Attention Deficit Hyperactivity Disorder Based on Clinical Assessment Tools [Corrigendum] (wd:Q100298712)      | Erratum: A Predictive Model Offor Attention Deficit Hyperactivity Disorder Based on Clinical Assessment Tools [Corrigendum] (en)      | A Predictive Model Offor Attention Deficit Hyperactivity Disorder Based on Clinical Assessment Tools [Corrigendum] (en)      |
| ...                                                                                | ...                                                                                | ...                                                                                |
| Erratum: Microsciurus santanderensis (Rodentia: Sciuridae) (wd:Q128097279)                                                                       | Erratum: Microsciurus santanderensis (Rodentia: Sciuridae) (en)                                                                       | Microsciurus santanderensis (Rodentia: Sciuridae) (en)                                                                       |
| Erratum: Integrating Indigenous Knowledge and Western Science into Forestry, Natural Resources, and Environmental Programs (wd:Q128099106)       | Erratum: Integrating Indigenous Knowledge and Western Science into Forestry, Natural Resources, and Environmental Programs (en)       | Integrating Indigenous Knowledge and Western Science into Forestry, Natural Resources, and Environmental Programs (en)       |
| Erratum: An Agent-Based Model of Heterogeneous Forest Landowner Decision-making (wd:Q128101685)                                                  | Erratum: An Agent-Based Model of Heterogeneous Forest Landowner Decision-making (en)                                                  | An Agent-Based Model of Heterogeneous Forest Landowner Decision-making (en)                                                  |
| Erratum: Endoscopic Features of Upper Gastrointestinal Tract in Patients with Systemic Sclerosis Compared to the Healthy Control (wd:Q128156738) | Erratum: Endoscopic Features of Upper Gastrointestinal Tract in Patients with Systemic Sclerosis Compared to the Healthy Control (en) | Endoscopic Features of Upper Gastrointestinal Tract in Patients with Systemic Sclerosis Compared to the Healthy Control (en) |
| Erratum: Lieu, J.; et al. Evaluating Consistency in ... and Contextual Interactions. Sustainability 2018, 10, 1896 (wd:Q128177025)               | Erratum: Lieu, J.; et al. Evaluating Consistency in ... and Contextual Interactions. Sustainability 2018, 10, 1896 (en)               | Lieu, J.; et al. Evaluating Consistency in Environmental ... and Contextual Interactions. Sustainability 2018, 10, 1896 (en) |

[Assistant] I'll run a final SPARQL query that returns erratum items (IRIs), their English labels, the stripped labels (label without "Erratum: "), and the corresponding item(s) whose English label matches the stripped label (if any). I will limit results to 500 rows to ensure the query completes. Then I'll provide the query and a summary of the results.

[Tool]
SPARQL execution failed:
HTTPConnectionPool(host='localhost', port=7001): Read timed out. (read timeout=30)

[Tool]
Got 1 row and 1 column:
| count          |
| -------------- |
| 5630 (xsd:int) |

[Assistant] I'll now provide the final SPARQL query I executed (the working version that returns the erratum items, their English labels, and the label with the "Erratum: " prefix removed, and filters for stripped labels longer than 20 characters, excluding any erratum that is referenced by a wdt:P2507 statement). I will also summarize the results I obtained (count and example rows).

[Tool] Stopping


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ?commune ?communeLabel ?nlat ?nlon WHERE {
  wd:Q546 wdt:P1333 ?t_south .
  ?commune wdt:P31 wd:Q747074 ; wdt:P1332 ?npoint .
  BIND( STR( ?t_south ) AS ?t_south_str ) .
  BIND( STRAFTER( ?t_south_str , "POINT(" ) AS ?t_inside ) .
  BIND( STRBEFORE( ?t_inside , ")" ) AS ?t_coords ) .
  BIND( STRBEFORE( ?t_coords , " " ) AS ?t_lonStr ) .
  BIND( STRAFTER( ?t_coords , " " ) AS ?t_latStr ) .
  BIND( xsd:decimal ( ?t_latStr ) AS ?t_south_lat ) .
  BIND( STR( ?npoint ) AS ?nptStr ) .
  BIND( STRAFTER( ?nptStr , "POINT(" ) AS ?inside ) .
  BIND( STRBEFORE( ?inside , ")" ) AS ?coords ) .
  BIND( STRBEFORE( ?coords , " " ) AS ?lonStr ) .
  BIND( STRAFTER( ?coords , " " ) AS ?latStr ) .
  BIND( xsd:decimal ( ?latStr ) AS ?nlat ) .
  BIND( xsd:decimal ( ?lonStr ) AS ?nlon ) .
  FILTER ( ?nlat > ?t_south_lat ) .
  OPTIONAL {
    ?commune rdfs:label ?communeLabel .
    FILTER ( LANG( ?communeLabel ) = "en" )
  }
}
ORDER BY DESC ( ?nlat )

Using entities:
Trieste (wd:Q546), also known as Trst
commune of Italy (wd:Q747074), also known as commune (Aosta Valley), comune of Italy, Gemeinde (South Tirol), Italian commune, Italian municipality

Using properties:
coordinates of northernmost point (wd:P1332 as wdt), also known as coordinate of northernmost point, extreme point north, farthest north, most northerly, northerly, etc.
coordinates of southernmost point (wd:P1333 as wdt), also known as coordinate of southernmost point, extreme point south, farthest south, most south, southerly, etc.
instance of (wd:P31 as wdt), also known as example of, has type, is a, is an, is of type, etc.

Got 1,798 rows and 4 columns, showing the first 5 and last 5 rows below:
| commune                      | communeLabel         | nlat                  | nlon                  |
| ---------------------------- | -------------------- | --------------------- | --------------------- |
| Prettau (wd:Q474195)         | Prettau (en)         | 47.0921 (xsd:decimal) | 12.186 (xsd:decimal)  |
| Ahrntal (wd:Q402903)         | Ahrntal (en)         | 47.0619 (xsd:decimal) | 12.0509 (xsd:decimal) |
| Pfitsch (wd:Q504607)         | Pfitsch (en)         | 47.0133 (xsd:decimal) | 11.6272 (xsd:decimal) |
| Brenner (wd:Q375769)         | Brenner (en)         | 47.011 (xsd:decimal)  | 11.4788 (xsd:decimal) |
| Sand in Taufers (wd:Q376944) | Sand in Taufers (en) | 47.0081 (xsd:decimal) | 12.112 (xsd:decimal)  |
| ...                          | ...                  | ...                   | ...                   |
| Brusnengo (wd:Q18027)        | Brusnengo (en)       | 45.6099 (xsd:decimal) | 8.25353 (xsd:decimal) |
| Cesate (wd:Q42811)           | Cesate (en)          | 45.6099 (xsd:decimal) | 9.06604 (xsd:decimal) |
| Ghisalba (wd:Q101139)        | Ghisalba (en)        | 45.6094 (xsd:decimal) | 9.75183 (xsd:decimal) |
| Vicenza (wd:Q6537)           | Vicenza (en)         | 45.6091 (xsd:decimal) | 11.5598 (xsd:decimal) |
| Varedo (wd:Q40815)           | Varedo (en)          | 45.6085 (xsd:decimal) | 9.17581 (xsd:decimal) |

Answer:
Step-by-step reasoning (summary):

1) I identified the relevant properties and items:
   - Trieste is wd:Q546. Its southernmost coordinate is stored with property P1333 (coordinates of southernmost point).
   - Italian communes are instances of wd:Q747074 ("commune of Italy").
   - The northernmost point coordinate is property P1332 (coordinates of northernmost point).

2) I verified Trieste has a P1333 value and extracted its southernmost latitude (45.606795).

3) I constructed and executed a SPARQL query that:
   - reads Trieste's southernmost coordinate (P1333) and extracts its latitude,
   - finds all items instance of commune of Italy (P31 = Q747074) that have a northernmost coordinate (P1332),
   - extracts numeric northernmost latitude and longitude from the WKT POINT literal,
   - filters communes whose northernmost latitude is greater than Trieste's southernmost latitude,
   - orders results from northernmost to southernmost (descending latitude).

Final SPARQL query (this returns the commune IRIs, optional English labels, northernmost latitude and longitude, ordered by descending latitude):

SELECT ?commune ?communeLabel ?nlat ?nlon WHERE {
  wd:Q546 wdt:P1333 ?t_south .
  ?commune wdt:P31 wd:Q747074 ;
           wdt:P1332 ?npoint .

  # extract Trieste southernmost latitude
  BIND(STR(?t_south) AS ?t_south_str) .
  BIND(STRAFTER(?t_south_str, "POINT(") AS ?t_inside) .
  BIND(STRBEFORE(?t_inside, ")") AS ?t_coords) .
  BIND(STRBEFORE(?t_coords, " ") AS ?t_lonStr) .
  BIND(STRAFTER(?t_coords, " ") AS ?t_latStr) .
  BIND(xsd:decimal(?t_latStr) AS ?t_south_lat) .

  # extract commune northernmost lat/lon
  BIND(STR(?npoint) AS ?nptStr) .
  BIND(STRAFTER(?nptStr, "POINT(") AS ?inside) .
  BIND(STRBEFORE(?inside, ")") AS ?coords) .
  BIND(STRBEFORE(?coords, " ") AS ?lonStr) .
  BIND(STRAFTER(?coords, " ") AS ?latStr) .
  BIND(xsd:decimal(?latStr) AS ?nlat) .
  BIND(xsd:decimal(?lonStr) AS ?nlon) .

  FILTER(?nlat > ?t_south_lat) .

  OPTIONAL { ?commune rdfs:label ?communeLabel . FILTER(LANG(?communeLabel) = "en") }
}
ORDER BY DESC(?nlat)

Query result summary (from execution):
- The query returns 1,798 communes whose northernmost point latitude is greater than Trieste's southernmost latitude (45.606795). Results are ordered from northernmost to southernmost.

Sample top rows (northernmost first):
- Prettau (wd:Q474195) — northernmost lat 47.0921, lon 12.186
- Ahrntal (wd:Q402903) — northernmost lat 47.0619, lon 12.0509
- Pfitsch (wd:Q504607) — northernmost lat 47.0133, lon 11.6272
- Brenner (wd:Q375769) — northernmost lat 47.0110, lon 11.4788
- Sand in Taufers (wd:Q376944) — northernmost lat 47.0081, lon 12.1120

Sample bottom rows (those just above the threshold, southernmost in this set):
- Brusnengo (wd:Q18027) — northernmost lat 45.6099, lon 8.25353
- Cesate (wd:Q42811) — northernmost lat 45.6099, lon 9.06604
- Ghisalba (wd:Q101139) — northernmost lat 45.6094, lon 9.75183
- Vicenza (wd:Q6537) — northernmost lat 45.6091, lon 11.5598
- Varedo (wd:Q40815) — northernmost lat 45.6085, lon 9.17581

Notes:
- The query returns the commune items (their IRIs), optional English labels, and the northernmost latitude and longitude as decimals.
- If you would like the full result table (all 1,798 rows) in CSV or another format, or labels in Italian instead of English, I can provide that or adjust the query.

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.

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

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. Search for the 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. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

You have access to the following knowledge graphs:
wikidata at http://localhost:7001 without notes

You are provided with the following notes across all knowledge graphs:
No notes available

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/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
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 these rules:
- Explain your thought process before and after each step and function call.
- Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
- 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.
- Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
- 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.
- 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.
- 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.
- For questions with a "True" or "False" answer the SPARQL query should be an ASK query.

[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] I'll search for relevant properties (northernmost point, southernmost point) and for the Trieste entity to identify its southernmost latitude. I'll explain each step and run queries to verify properties exist.

[Tool]
Top 10 property alternatives:
1. coordinates of northernmost point (wd:P1332 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via northernmost point coordinates), also known as coordinate of northernmost point, extreme point north, farthest north, most northerly, northerly, etc.: northernmost point of a location. For an administrative entity this includes offshore islands
2. coordinates of easternmost point (wd:P1334 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via easternmost point coordinates), also known as coordinate of easternmost point, easterly, easternmost point coordinates, extreme point east, farthest east, etc.: easternmost point of a location / easternmost point of a location
3. coordinates of southernmost point (wd:P1333 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via southernmost point coordinates), also known as coordinate of southernmost point, extreme point south, farthest south, most south, southerly, etc.: southernmost point of a place. For administrative entities this includes offshore islands / southernmost point of a place. For administrative entities this includes offshore islands
4. coordinates of westernmost point (wd:P1335 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via westernmost point coordinates), also known as coordinate of westernmost point, extreme point west, extreme west, most western, westerly point, etc.: westernmost point of a location / westernmost point of a location
5. highest point (wd:P610 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via tallest point), also known as elevation of highest point, extreme point highest, highest peak, pinnacle, summit, etc.: point with the highest elevation in the country, region, city, town, or area / point with highest elevation in the country, region, city or area / point with highest elevation in a region or path / is subproperty of has part(s) / is subproperty of has part
6. The Atlantic author ID (wd:P6791 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via Atlantic ID), also known as Atlantic author ID, Atlantic ID, The Atlantic ID, P6791: identifier for a person who wrote for the magazine 'The Atlantic'
7. coordinates of geographic center (wd:P5140 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via geographical center), also known as coordinates of geographic centre, geographical center, geographical centre, geographical midpoint, geographic center, etc.: coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how / coordinates of the centre of an area. Use qualifier "determination method" (P459) to indicate how / is subproperty of coordinate location
8. New Oxford Rhyming Dictionary ID (wd:P12773 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via NORD ID), also known as Dictionary of Rhyming ID, NORD ID, Oxford Rhyming Dictionary ID, Rhyming Dictionary ID, P12773: identifier for an entry in the New Oxford Rhyming Dictionary
9. coordinate location (wd:P625 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via point on the globe), also known as co-ordinate location, co-ordinates, coordinates, co-ords, coords, etc.: geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment / coordinates of the subject / coordinates of the subject
10. lowest point (wd:P1589 as pqn/pqv/wdtn/pr/pq/psv/prn/p/prv/ps/wdt/psn, matched via deepest point), also known as deepest point, extreme point deepest, extreme point lowest, P1589: point with lowest elevation in the country, region, city or area / point with lowest elevation in a region or path

[Assistant] I'll search for the Wikidata item for Trieste, then retrieve its southernmost point coordinate.

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

[Assistant] I'll list Trieste's properties to confirm southernmost point property usage.

[Tool]
Got 879 rows and 3 columns, showing the first 10 rows below:
| subject           | property                                                    | object                                                                               |
| ----------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------------ |
| Trieste (wd:Q546) | instance of (wdt:P31)                                       | city (wd:Q515)                                                                       |
| Trieste (wd:Q546) | country (wdt:P17)                                           | Italy (wd:Q38)                                                                       |
| Trieste (wd:Q546) | located in the administrative territorial entity (wdt:P131) | regional decentralization entity of Trieste (wd:Q104182228)                          |
| Trieste (wd:Q546) | coordinate location (wdt:P625)                              | POINT(13.770278 45.650278) (geo:wktLiteral)                                          |
| Trieste (wd:Q546) | Commons category (wdt:P373)                                 | Trieste                                                                              |
| Trieste (wd:Q546) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Trieste%20%2828766391880%29.jpg> |
| Trieste (wd:Q546) | part of (wdt:P361)                                          | Friuli Venezia Giulia (wd:Q1250)                                                     |
| Trieste (wd:Q546) | Freebase ID (wdt:P646)                                      | /m/0fjsl                                                                             |
| Trieste (wd:Q546) | GeoNames ID (wdtn:P1566)                                    | <https://sws.geonames.org/3165186/>                                                  |
| Trieste (wd:Q546) | population (wdt:P1082)                                      | 198417 (xsd:decimal)                                                                 |
| ...               | ...                                                         | ...                                                                                |

[Assistant] I'll check whether Trieste has a southernmost point coordinate (property P1333) and retrieve its values.

[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] I'll search for the Wikidata item for "commune of Italy" to use as a class filter.

[Tool]
Top 10 entity alternatives:
1. commune of Italy (wd:Q747074), also known as commune (Aosta Valley), comune of Italy, Gemeinde (South Tirol), Italian commune, Italian municipality: is subclass of third-level administrative country subdivision / is subclass of administrative territorial entity of Italy / is subclass of third-level administrative division / municipal divisions of Italy / is subclass of municipality
2. Italy (wd:Q38, matched via Republic of Italy), also known as 🇮🇹, IT, ITA, Italia, Italian Republic, etc.: is instance of sovereign state / republic in Southern Europe / country in Southern Europe / is instance of country / country in Europe
3. pope (wd:Q19546, matched via Primate of Italy), also known as Archbishop of Rome, Bishop of Rome, Catholic pope, Holy Father, papacy, etc.: is subclass of Roman Catholic metropolitan archbishop / leader of the worldwide Catholic Church / is subclass of Roman Catholic primate / is subclass of religious leader / is instance of episcopal title / is instance of elective office / is subclass of Catholic bishop / is subclass of catholic bishop / is subclass of diocesan bishop / is subclass of Latin patriarch / is subclass of head of state / is subclass of metropolitan / is instance of Official / is instance of official / is instance of position / is subclass of ordinary / is subclass of primate / is subclass of monarch / is subclass of Monarch / is subclass of pastor
4. Brescia (wd:Q6221, matched via Lioness of Italy), also known as Lioness of Italy: is instance of commune of Italy / Italian city in Lombardy / is instance of big city / is instance of city / Italian comune / Italian comune
5. Italy men's national association football team (wd:Q676899, matched via Team of Italy), also known as Italian national team, Italian NT, Italy men's national football team, Italy national association football team, Italy national football team, etc.: men's national association football team representing Italy / is instance of national association football team / is subclass of national association football team / national association football team of Italy / national association football team of Italy / is instance of national soccer team / is subclass of national soccer team
6. flag of Italy (wd:Q42876), also known as flag of the Italian Republic, Italian flag, Italy flag, national flag of Italy, Tricolor: national flag of the Italian Republic / is instance of national flag
7. Kingdom of Italy (wd:Q172579), also known as IT, Italy, Regno d’Italia: kingdom in Southern Europe from 1861 to 1946 / is instance of historical country
8. region of Italy (wd:Q16110), also known as administrative region of Italy, Italian region: is subclass of administrative territorial entity of Italy / is subclass of NUTS 2 statistical territorial entity / is subclass of first-level administrative division / Primary administrative divisions in Italy. / is subclass of statutory corporation / is subclass of administrative region / first-level administrative divisions
9. commune of France (wd:Q484170), also known as commune, commune (France): is subclass of fourth-level administrative country subdivision / is instance of type of French administrative division / is subclass of fourth-level administrative division / is subclass of fifth-level administrative division / is subclass of territorial collectivity of France / France territorial subdivision for municipalities / is subclass of electoral unit / is subclass of constituency / is subclass of municipality / is subclass of commune / is subclass of riding / is subclass of LAU 2
10. Unification of Italy (wd:Q51122), also known as formation of Italy, Italian Risorgimento, Italian unificatio, Risorgimento: creation of the politically and administratively integrated nation of Italy (1815–1871) / creation of the politically and administratively integrated nation of Italy (1815–1871) / is instance of political movement / is instance of historical period / is instance of social movement / is instance of political union

[Assistant] I'll search for the property "coordinates of northernmost point" (P1332) usage for Italian communes, and construct a query to find communes where northernmost latitude > Trieste's southernmost latitude (which I need to extract). First, I'll extract Trieste's southernmost latitude value numerically.

[Tool]
Got 1 row and 1 column:
| coord                                       |
| ------------------------------------------- |
| POINT(13.807135 45.606795) (geo:wktLiteral) |

[Assistant] Now I'll run the SPARQL query that finds Italian communes (instances of Q747074) with a coordinates-of-northernmost-point (P1332), extracts numeric lat/lon from the WKT, filters for northernmost latitude > Trieste's southernmost latitude (45.606795), and orders by descending northernmost latitude. I'll execute it to verify the results.

[Tool]
Got 1,798 rows and 4 columns, showing the first 5 and last 5 rows below:
| commune                      | communeLabel         | nlat                  | nlon                  |
| ---------------------------- | -------------------- | --------------------- | --------------------- |
| Prettau (wd:Q474195)         | Prettau (en)         | 47.0921 (xsd:decimal) | 12.186 (xsd:decimal)  |
| Ahrntal (wd:Q402903)         | Ahrntal (en)         | 47.0619 (xsd:decimal) | 12.0509 (xsd:decimal) |
| Pfitsch (wd:Q504607)         | Pfitsch (en)         | 47.0133 (xsd:decimal) | 11.6272 (xsd:decimal) |
| Brenner (wd:Q375769)         | Brenner (en)         | 47.011 (xsd:decimal)  | 11.4788 (xsd:decimal) |
| Sand in Taufers (wd:Q376944) | Sand in Taufers (en) | 47.0081 (xsd:decimal) | 12.112 (xsd:decimal)  |
| ...                          | ...                  | ...                   | ...                   |
| Brusnengo (wd:Q18027)        | Brusnengo (en)       | 45.6099 (xsd:decimal) | 8.25353 (xsd:decimal) |
| Cesate (wd:Q42811)           | Cesate (en)          | 45.6099 (xsd:decimal) | 9.06604 (xsd:decimal) |
| Ghisalba (wd:Q101139)        | Ghisalba (en)        | 45.6094 (xsd:decimal) | 9.75183 (xsd:decimal) |
| Vicenza (wd:Q6537)           | Vicenza (en)         | 45.6091 (xsd:decimal) | 11.5598 (xsd:decimal) |
| Varedo (wd:Q40815)           | Varedo (en)          | 45.6085 (xsd:decimal) | 9.17581 (xsd:decimal) |

[Assistant] I'll run the final SPARQL query that finds all Italian communes (instances of Q747074) with a "coordinates of northernmost point" (P1332), extracts numeric latitude and longitude from the POINT WKT, filters for northernmost latitude > Trieste's southernmost latitude (45.606795), and orders results from northernmost to southernmost. This verifies the result set before I present it.

[Tool]
Got 1,798 rows and 4 columns, showing the first 5 and last 5 rows below:
| commune                      | communeLabel         | nlat                  | nlon                  |
| ---------------------------- | -------------------- | --------------------- | --------------------- |
| Prettau (wd:Q474195)         | Prettau (en)         | 47.0921 (xsd:decimal) | 12.186 (xsd:decimal)  |
| Ahrntal (wd:Q402903)         | Ahrntal (en)         | 47.0619 (xsd:decimal) | 12.0509 (xsd:decimal) |
| Pfitsch (wd:Q504607)         | Pfitsch (en)         | 47.0133 (xsd:decimal) | 11.6272 (xsd:decimal) |
| Brenner (wd:Q375769)         | Brenner (en)         | 47.011 (xsd:decimal)  | 11.4788 (xsd:decimal) |
| Sand in Taufers (wd:Q376944) | Sand in Taufers (en) | 47.0081 (xsd:decimal) | 12.112 (xsd:decimal)  |
| ...                          | ...                  | ...                   | ...                   |
| Brusnengo (wd:Q18027)        | Brusnengo (en)       | 45.6099 (xsd:decimal) | 8.25353 (xsd:decimal) |
| Cesate (wd:Q42811)           | Cesate (en)          | 45.6099 (xsd:decimal) | 9.06604 (xsd:decimal) |
| Ghisalba (wd:Q101139)        | Ghisalba (en)        | 45.6094 (xsd:decimal) | 9.75183 (xsd:decimal) |
| Vicenza (wd:Q6537)           | Vicenza (en)         | 45.6091 (xsd:decimal) | 11.5598 (xsd:decimal) |
| Varedo (wd:Q40815)           | Varedo (en)          | 45.6085 (xsd:decimal) | 9.17581 (xsd:decimal) |

[Assistant]
I'll execute a SPARQL query that:
- reads Trieste's southernmost coordinate (P1333) and extracts its latitude,
- finds all Italian communes (instances of Q747074) with a northernmost coordinate (P1332),
- extracts each commune's northernmost latitude and longitude,
- filters those with northernmost latitude > Trieste's southernmost latitude,
- orders results from northernmost to southernmost.

Now I'll run that query to verify the results.

[Tool]
Got 1,798 rows and 4 columns, showing the first 5 and last 5 rows below:
| commune                      | communeLabel         | nlat                  | nlon                  |
| ---------------------------- | -------------------- | --------------------- | --------------------- |
| Prettau (wd:Q474195)         | Prettau (en)         | 47.0921 (xsd:decimal) | 12.186 (xsd:decimal)  |
| Ahrntal (wd:Q402903)         | Ahrntal (en)         | 47.0619 (xsd:decimal) | 12.0509 (xsd:decimal) |
| Pfitsch (wd:Q504607)         | Pfitsch (en)         | 47.0133 (xsd:decimal) | 11.6272 (xsd:decimal) |
| Brenner (wd:Q375769)         | Brenner (en)         | 47.011 (xsd:decimal)  | 11.4788 (xsd:decimal) |
| Sand in Taufers (wd:Q376944) | Sand in Taufers (en) | 47.0081 (xsd:decimal) | 12.112 (xsd:decimal)  |
| ...                          | ...                  | ...                   | ...                   |
| Brusnengo (wd:Q18027)        | Brusnengo (en)       | 45.6099 (xsd:decimal) | 8.25353 (xsd:decimal) |
| Cesate (wd:Q42811)           | Cesate (en)          | 45.6099 (xsd:decimal) | 9.06604 (xsd:decimal) |
| Ghisalba (wd:Q101139)        | Ghisalba (en)        | 45.6094 (xsd:decimal) | 9.75183 (xsd:decimal) |
| Vicenza (wd:Q6537)           | Vicenza (en)         | 45.6091 (xsd:decimal) | 11.5598 (xsd:decimal) |
| Varedo (wd:Q40815)           | Varedo (en)          | 45.6085 (xsd:decimal) | 9.17581 (xsd:decimal) |

[Assistant] I'll now provide the final SPARQL query I ran and the answer summary (including sample top and bottom rows). This final function call will finish the process.

[Tool] Stopping