PREFIX dblp: <https://dblp.org/rdf/schema#>
ASK {
  <https://dblp.org/rec/conf/icapr/WangL05> dblp:authoredBy <https://dblp.org/pid/l/GrahamLeedham> .
  <https://dblp.org/rec/conf/icapr/WangL05> dblp:authoredBy <https://dblp.org/pid/w/LingyuWang2> .
}

Yes, Leedham, Graham and Wang, Lingyu co-authored the paper 'A Thermal Hand Vein Pattern Verification System'.

Did Leedham, Graham and Wang, Lingyu co-author the paper 'A Thermal Hand Vein Pattern Verification System'?

[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:
dblp at https://qlever.cs.uni-freiburg.de/api/dblp with notes:
1. Use dblp:authoredBy to link publications to authors. The inverse (author -> pubs) is not via dblp:author; queries with dblp:author typically return no results.
2. Publication year is dblp:yearOfPublication (xsd:gYear). Avoid dblp:year. For last N years use YEAR(NOW()) in FILTER; use >= for inclusive bounds. Don’t assume current year in prose. MIN/MAX work on gYear; avoid unnecessary casts.
3. Venue is dblp:publishedIn (string like short name) and/or dblp:publishedInStream (entity IRI for series/journal/conference). For simple venue text, use dblp:publishedIn.
4. To list an author’s publications: SELECT ?pub WHERE { ?pub dblp:authoredBy <authorIRI> }. Then OPTIONAL get dblp:title, dblp:publishedIn, dblp:yearOfPublication.
5. For yes/no authorship checks, use ASK with dblp:authoredBy, e.g., ASK { <pubIRI> dblp:authoredBy <authorIRI> }.
6. Titles are via dblp:title on publication entities. rdfs:label often exists but is less reliable for titles; prefer dblp:title.
7. If dblp:authoredBy on a pub yields a disambiguation author node (e.g., “… (disambiguation)”), treat it as the author IRI to use in joins; it still identifies the creator.
8. Use dblp:createdBy as an alternative to dblp:authoredBy when authoredBy is missing; both link pubs to creators. Prefer authoredBy for authorship semantics.
9. When filtering by venue names, dblp:publishedIn is a short string (e.g., ‘WSC’, ‘ICALT’, ‘Gov. Inf. Q.’). Avoid FILTER on ?pub IRI strings; filter on dblp:publishedIn value.
10. Avoid rdf:type for pubs; rely on authoredBy/title/publishedIn/yearOfPublication. When counting, use COUNT(DISTINCT ?pub). For average per year, take AVG over yearly counts (subquery GROUP BY year); don’t divide by year-span.
11. Avoid using foaf:name/rdfs:label on creators for joins. Creators expose dblp:creatorName/primaryCreatorName and dblp:primaryAffiliation (string). Prefer joins on IRIs; fetch names/affiliations separately. Use SELECT DISTINCT ?author to dedup.
12. When a SELECT returns no rows unexpectedly, check schema via search_property/search_property_of_entity or list the entity. Many failures stem from using wrong props (dblp:author vs dblp:authoredBy).
13. Negations: avoid tautological NOT EXISTS. Prefer ASK { positive pattern } and invert in prose. For “also published in V?”, test other pubs by same authors and exclude the given pub via FILTER(?other != <pubIRI>) together with dblp:publishedIn 'V'.
14. Avoid text search on titles with CONTAINS/LCASE for exact identification; prefer search_entity to get the record IRI, then query structured triples. After search_entity, verify exact title via dblp:title; don’t pick a “closest match” blindly.
15. Be careful with complex ASK + FILTER combinations; QLever may error (CartesianProductJoin assertion). Simplify logic or split into separate queries to avoid engine bugs.
16. For number of authors, prefer dblp:numberOfCreators when available; otherwise COUNT(DISTINCT ?a) over dblp:authoredBy.

General notes for all knowledge graphs:
1. Normalize NL negations to a clear existential query. Prefer ASK { positive pattern }. For negated questions, evaluate the positive fact and invert only in prose. Avoid tautological or heavy NOT EXISTS patterns that can be slow or misleading.
2. For relative time windows (“last N years”), always use YEAR(NOW()) in SPARQL and align inclusive/exclusive bounds with the question phrasing. Do not hardcode current year in answers; base the conclusion strictly on query results.

You can use the following SPARQL prefixes implicitly in all functions:
bibtex: <http://purl.org/net/nknouf/ns/bibtex#
cito: <http://purl.org/spar/cito/
datacite: <http://purl.org/spar/datacite/
dblp: <https://dblp.org/rdf/schema#
dblps: <https://dblp.org/rdf/schema-2020-07-01#
literal: <http://purl.org/spar/literal/
owl: <http://www.w3.org/2002/07/owl#
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
terms: <http://purl.org/dc/terms/
wd: <http://www.wikidata.org/entity/
wdt: <http://www.wikidata.org/prop/direct/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
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. 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.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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] Did Leedham, Graham and Wang, Lingyu co-author the paper 'A Thermal Hand Vein Pattern Verification System'?

[Assistant]
Let's break down the question:

1. We need to check if both Leedham, Graham and Wang, Lingyu are co-authors of the paper titled 'A Thermal Hand Vein Pattern Verification System'.
2. To do this, we need to:
   - Find the IRI of the publication with the exact title 'A Thermal Hand Vein Pattern Verification System'.
   - Find the IRIs of the authors Leedham, Graham and Wang, Lingyu.
   - Check if both authors are linked to the publication via dblp:authoredBy.

Step 1: Search for the publication by title.

[Tool]
Top 10 entity alternatives:
1. Lingyu Wang and Graham Leedham: ...tern Verification System. (2005) (<https://dblp.org/rec/conf/icapr/WangL05>)
2. Puneet Gupta et al.: An accurate...ed authentication system. (2016) (<https://dblp.org/rec/journals/kbs/GuptaSG16>)
3. Amioy Kumar et al.: Biometric Au...ermal Hand Vein Patterns. (2009) (<https://dblp.org/rec/conf/dicta/KumarHML09>)
4. Ahmed M. Badawi: Hand Vein Biome... and Patterns Similarity. (2006) (<https://dblp.org/rec/conf/ipcv/Badawi06>)
5. Amit Kumar Singh et al.: Hand ge...ication system: A review. (2009) (<https://dblp.org/rec/conf/icumt/SinghAP09>)
6. Chih-Lung Lin and Kuo-Chin Fan: ...palm-dorsa vein patterns. (2004) (<https://dblp.org/rec/journals/tcsv/LinF04>)
7. Gholamreza Amayeh: A Component-b...nd identification System. (2018) (<https://dblp.org/rec/phd/basesearch/Amayeh18>)
8. Young-Tak Kim et al.: PC-based H...etry Verification System. (2006) (<https://dblp.org/rec/journals/ijflis/KimKLKKLTL06>)
9. Amioy Kumar et al.: Hybrid PSO B...ermal Hand Vein Patterns. (2010) (<https://dblp.org/rec/conf/semcco/KumarHG10>)
10. Dat Tran and Michael Wagner: A P...tern Verification System. (2001) (<https://dblp.org/rec/conf/fuzzIEEE/TranW01>)

[Tool]
Got 1 row and 1 column:
| title                                            |
| ------------------------------------------------ |
| A Thermal Hand Vein Pattern Verification System. |

[Tool]
Got 30 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                                   | object                                                                                |
| --------------------------------------------------------------------------------------------------------------- | ------------------------------------------ | ----------------------------------------------------------------------------------------------------------- |
| Lingyu Wang and Graham Leedham: ...tern Verification System. (2005) (<https://dblp.org/rec/conf/icapr/WangL05>) | hasSignature (dblp:hasSignature)           | _:bn5750492                                                                                |
| Lingyu Wang and Graham Leedham: ...tern Verification System. (2005) (<https://dblp.org/rec/conf/icapr/WangL05>) | createdBy (dblp:createdBy)                 | Graham Leedham (<https://dblp.org/pid/l/GrahamLeedham>)                                                     |
| Lingyu Wang and Graham Leedham: ...tern Verification System. (2005) (<https://dblp.org/rec/conf/icapr/WangL05>) | authoredBy (dblp:authoredBy)               | Graham Leedham (<https://dblp.org/pid/l/GrahamLeedham>)                                                     |
| Lingyu Wang and Graham Leedham: ...tern Verification System. (2005) (<https://dblp.org/rec/conf/icapr/WangL05>) | publishedInStream (dblp:publishedInStream) | International Conference on Advances in Pattern Recognition (ICAPR) (<https://dblp.org/streams/conf/icapr>) |
| Lingyu Wang and Graham Leedham: ...tern Verification System. (2005) (<https://dblp.org/rec/conf/icapr/WangL05>) | documentPage (dblp:documentPage)           | <https://doi.org/10.1007/11552499_7>                                                                        |
| Lingyu Wang and Graham Leedham: ...tern Verification System. (2005) (<https://dblp.org/rec/conf/icapr/WangL05>) | bibtexType (dblp:bibtexType)               | bibtex:Inproceedings                                                                                |
| Lingyu Wang and Graham Leedham: ...tern Verification System. (2005) (<https://dblp.org/rec/conf/icapr/WangL05>) | numberOfCreators (dblp:numberOfCreators)   | 2 (xsd:int)                                                                                |
| Lingyu Wang and Graham Leedham: ...tern Verification System. (2005) (<https://dblp.org/rec/conf/icapr/WangL05>) | title (dblp:title)                         | A Thermal Hand Vein Pattern Verification System.                                                            |
| Lingyu Wang and Graham Leedham: ...tern Verification System. (2005) (<https://dblp.org/rec/conf/icapr/WangL05>) | yearOfPublication (dblp:yearOfPublication) | 2005 (xsd:gYear)                                                                                |
| Lingyu Wang and Graham Leedham: ...tern Verification System. (2005) (<https://dblp.org/rec/conf/icapr/WangL05>) | listedOnTocPage (dblp:listedOnTocPage)     | <https://dblp.org/db/conf/icapr/icapr2005-2>                                                                |
| ...                                                                                | ...                                        | ...                                                                                |

[Tool]
Got 2 rows and 3 columns:
| subject                                                                                | property                     | object                                                  |
| --------------------------------------------------------------------------------------------------------------- | ---------------------------- | ------------------------------------------------------- |
| Lingyu Wang and Graham Leedham: ...tern Verification System. (2005) (<https://dblp.org/rec/conf/icapr/WangL05>) | authoredBy (dblp:authoredBy) | Graham Leedham (<https://dblp.org/pid/l/GrahamLeedham>) |
| Lingyu Wang and Graham Leedham: ...tern Verification System. (2005) (<https://dblp.org/rec/conf/icapr/WangL05>) | authoredBy (dblp:authoredBy) | Lingyu Wang 0002 (<https://dblp.org/pid/w/LingyuWang2>) |

[Tool]
Top 10 entity alternatives:
1. Graham Leedham, also known as Graham Leedham (<https://dblp.org/pid/l/GrahamLeedham>)
2. Graham Leedham: Hand Veins. (2015) (<https://dblp.org/rec/reference/bio/Leedham15>)
3. Graham Leedham: Hand Veins. (2009) (<https://dblp.org/rec/reference/bio/Leedham09>)
4. Graham Kendall, also known as Graham Kendall (<https://dblp.org/pid/68/1742>)
5. Graham Hutton, also known as Graham Hutton (<https://dblp.org/pid/80/6729>)
6. Graham Cormode, also known as Graham Cormode (<https://dblp.org/pid/c/GrahamCormode>)
7. Graham Neubig, also known as Graham Neubig (<https://dblp.org/pid/03/8155>)
8. Graham Everest, also known as Graham Everest (<https://dblp.org/pid/97/5859>)
9. Philip Graham, also known as Philip Graham (<https://dblp.org/pid/130/4581>)
10. Graham White 0001, also known as Graham White (<https://dblp.org/pid/34/5240>)

[Tool]
Top 10 entity alternatives:
1. Lingyu Wang 0001, also known as Lingyu Wang (<https://dblp.org/pid/w/LingyuWang>)
2. Lingyu Wang 0002, also known as Lingyu Wang (<https://dblp.org/pid/w/LingyuWang2>)
3. Lingyu Wang 0003, also known as Lingyu Wang (<https://dblp.org/pid/w/LingyuWang3>)
4. Lingyu Wang (disambiguation), also known as Lingyu Wang (<https://dblp.org/pid/197/1435>)
5. Lingyun Wang 0001, also known as Lingyun Wang (<https://dblp.org/pid/04/7040-1>)
6. Lingyun Wang 0004, also known as Lingyun Wang (<https://dblp.org/pid/04/7040-4>)
7. Lingyun Wang 0006, also known as Lingyun Wang (<https://dblp.org/pid/249/3010>)
8. Lingyun Wang (disambiguation), also known as Lingyun Wang (<https://dblp.org/pid/04/7040>)
9. Lingyun Wang 0002, also known as Lingyun Wang (<https://dblp.org/pid/04/7040-2>)
10. Lingyun Wang 0003, also known as Lingyun Wang (<https://dblp.org/pid/04/7040-3>)

[Tool] True

[Tool] Stopped generation process


PREFIX dblp: <https://dblp.org/rdf/schema#>
ASK {
  <https://dblp.org/rec/conf/recomb/SongL06> dblp:yearOfPublication 2007
}

Yes, the publication 'A Linear Discrete Dynamic System Model for Temporal Gene Interaction and Regulatory Network Influence in Response to Bioethanol Conversion Inhibitor HMF for Ethanologenic Yeast' was published in 2007.

Was the publication 'A Linear Discrete Dynamic System Model for Temporal Gene Interaction and Regulatory Network Influence in Response to Bioethanol Conversion Inhibitor HMF for Ethanologenic Yeast' not not published in 2007?

[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:
dblp at https://qlever.cs.uni-freiburg.de/api/dblp with notes:
1. Use dblp:authoredBy to link publications to authors. The inverse (author -> pubs) is not via dblp:author; queries with dblp:author typically return no results.
2. Publication year is dblp:yearOfPublication (xsd:gYear). Avoid dblp:year. For last N years use YEAR(NOW()) in FILTER; use >= for inclusive bounds. Don’t assume current year in prose. MIN/MAX work on gYear; avoid unnecessary casts.
3. Venue is dblp:publishedIn (string like short name) and/or dblp:publishedInStream (entity IRI for series/journal/conference). For simple venue text, use dblp:publishedIn.
4. To list an author’s publications: SELECT ?pub WHERE { ?pub dblp:authoredBy <authorIRI> }. Then OPTIONAL get dblp:title, dblp:publishedIn, dblp:yearOfPublication.
5. For yes/no authorship checks, use ASK with dblp:authoredBy, e.g., ASK { <pubIRI> dblp:authoredBy <authorIRI> }.
6. Titles are via dblp:title on publication entities. rdfs:label often exists but is less reliable for titles; prefer dblp:title.
7. If dblp:authoredBy on a pub yields a disambiguation author node (e.g., “… (disambiguation)”), treat it as the author IRI to use in joins; it still identifies the creator.
8. Use dblp:createdBy as an alternative to dblp:authoredBy when authoredBy is missing; both link pubs to creators. Prefer authoredBy for authorship semantics.
9. When filtering by venue names, dblp:publishedIn is a short string (e.g., ‘WSC’, ‘ICALT’, ‘Gov. Inf. Q.’). Avoid FILTER on ?pub IRI strings; filter on dblp:publishedIn value.
10. Avoid rdf:type for pubs; rely on authoredBy/title/publishedIn/yearOfPublication. When counting, use COUNT(DISTINCT ?pub). For average per year, take AVG over yearly counts (subquery GROUP BY year); don’t divide by year-span.
11. Avoid using foaf:name/rdfs:label on creators for joins. Creators expose dblp:creatorName/primaryCreatorName and dblp:primaryAffiliation (string). Prefer joins on IRIs; fetch names/affiliations separately. Use SELECT DISTINCT ?author to dedup.
12. When a SELECT returns no rows unexpectedly, check schema via search_property/search_property_of_entity or list the entity. Many failures stem from using wrong props (dblp:author vs dblp:authoredBy).
13. Negations: avoid tautological NOT EXISTS. Prefer ASK { positive pattern } and invert in prose. For “also published in V?”, test other pubs by same authors and exclude the given pub via FILTER(?other != <pubIRI>) together with dblp:publishedIn 'V'.
14. Avoid text search on titles with CONTAINS/LCASE for exact identification; prefer search_entity to get the record IRI, then query structured triples. After search_entity, verify exact title via dblp:title; don’t pick a “closest match” blindly.
15. Be careful with complex ASK + FILTER combinations; QLever may error (CartesianProductJoin assertion). Simplify logic or split into separate queries to avoid engine bugs.
16. For number of authors, prefer dblp:numberOfCreators when available; otherwise COUNT(DISTINCT ?a) over dblp:authoredBy.

General notes for all knowledge graphs:
1. Normalize NL negations to a clear existential query. Prefer ASK { positive pattern }. For negated questions, evaluate the positive fact and invert only in prose. Avoid tautological or heavy NOT EXISTS patterns that can be slow or misleading.
2. For relative time windows (“last N years”), always use YEAR(NOW()) in SPARQL and align inclusive/exclusive bounds with the question phrasing. Do not hardcode current year in answers; base the conclusion strictly on query results.

You can use the following SPARQL prefixes implicitly in all functions:
bibtex: <http://purl.org/net/nknouf/ns/bibtex#
cito: <http://purl.org/spar/cito/
datacite: <http://purl.org/spar/datacite/
dblp: <https://dblp.org/rdf/schema#
dblps: <https://dblp.org/rdf/schema-2020-07-01#
literal: <http://purl.org/spar/literal/
owl: <http://www.w3.org/2002/07/owl#
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
terms: <http://purl.org/dc/terms/
wd: <http://www.wikidata.org/entity/
wdt: <http://www.wikidata.org/prop/direct/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
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. 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.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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] Was the publication 'A Linear Discrete Dynamic System Model for Temporal Gene Interaction and Regulatory Network Influence in Response to Bioethanol Conversion Inhibitor HMF for Ethanologenic Yeast' not not published in 2007?

[Assistant]
Let's break down the question:

- The publication title is: 'A Linear Discrete Dynamic System Model for Temporal Gene Interaction and Regulatory Network Influence in Response to Bioethanol Conversion Inhibitor HMF for Ethanologenic Yeast'.
- The question is: Was it not not published in 2007? This is a double negation, so it is equivalent to: Was it published in 2007?

Step 1: Find the publication entity in DBLP by searching for the exact title.

Step 2: Check if it has dblp:yearOfPublication 2007.

Let me start by searching for the publication entity.

[Tool]
Top 10 entity alternatives:
1. Mingzhou (Joe) Song and Z. Lewis... for Ethanologenic Yeast. (2006) (<https://dblp.org/rec/conf/recomb/SongL06>)
2. Bin Jia and Xiaodong Wang: Regul...latory network inference. (2014) (<https://dblp.org/rec/journals/ejbsb/JiaW14>)
3. Yuexu Jiang et al.: A dynamic pr...pathway model generation. (2020) (<https://dblp.org/rec/journals/bioinformatics/JiangLWXJ20>)
4. Yulan Liang and Arpad Kelemen: B...ene Interaction Networks. (2006) (<https://dblp.org/rec/conf/embc/LiangK06>)
5. Keyi Li et al.: A general model-...onlinear dynamic systems. (2021) (<https://dblp.org/rec/journals/dsp/LiZK21>)
6. Shuqin Zhang et al.: A linear co...netic regulatory network. (2005) (<https://dblp.org/rec/conf/grc/ZhangNCA05>)
7. Thuc Nguyen et al.: A Design Fra...ists' Emotional Response. (2022) (<https://dblp.org/rec/conf/acis/NguyenNVC22>)
8. Ines Hamdi and Mohamed Ben Ahmed...tics Regulatory Networks. (2011) (<https://dblp.org/rec/conf/dexaw/HamdiA11>)
9. Gustavo Arroyo-Figueroa and Raúl...peration Support Systems. (2002) (<https://dblp.org/rec/conf/micai/Arroyo-FigueroaH02>)
10. Xutao Deng et al.: A Dynamic Bay...ng Yeast Genes Functions. (2005) (<https://dblp.org/rec/conf/amcis/DengGA05>)

[Tool]
Got 1 row and 2 columns:
| title                                                               | year             |
| ------------------------------------------------------------------- | ---------------- |
| A Linear Discrete Dynamic System...tor HMF for Ethanologenic Yeast. | 2007 (xsd:gYear) |

[Tool] Stopped generation process


PREFIX dblp: <https://dblp.org/rdf/schema#>
SELECT ( COUNT( DISTINCT ?pub ) AS ?totalPubs2016 ) WHERE {
  VALUES ?author {
    <https://dblp.org/pid/164/3309> <https://dblp.org/pid/184/6425> <https://dblp.org/pid/q/MeikangQiu>
  }
  ?pub dblp:authoredBy ?author ; dblp:yearOfPublication ?year .
  FILTER ( ?year = 2016 )
}

Got 1 row and 1 column:
| totalPubs2016 |
| ------------- |
| 0 (xsd:int)   |

According to the DBLP knowledge graph, the authors of 'Cyber Incident Classifications Using Ontology-Based Knowledge Representation for Cybersecurity Insurance in Financial Industry' did not publish any other papers in 2016.

In 2016, how many papers did the authors of 'Cyber Incident Classifications Using Ontology-Based Knowledge Representation for Cybersecurity Insurance in Financial Industry' publish?

[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:
dblp at https://qlever.cs.uni-freiburg.de/api/dblp with notes:
1. Use dblp:authoredBy to link publications to authors. The inverse (author -> pubs) is not via dblp:author; queries with dblp:author typically return no results.
2. Publication year is dblp:yearOfPublication (xsd:gYear). Avoid dblp:year. For last N years use YEAR(NOW()) in FILTER; use >= for inclusive bounds. Don’t assume current year in prose. MIN/MAX work on gYear; avoid unnecessary casts.
3. Venue is dblp:publishedIn (string like short name) and/or dblp:publishedInStream (entity IRI for series/journal/conference). For simple venue text, use dblp:publishedIn.
4. To list an author’s publications: SELECT ?pub WHERE { ?pub dblp:authoredBy <authorIRI> }. Then OPTIONAL get dblp:title, dblp:publishedIn, dblp:yearOfPublication.
5. For yes/no authorship checks, use ASK with dblp:authoredBy, e.g., ASK { <pubIRI> dblp:authoredBy <authorIRI> }.
6. Titles are via dblp:title on publication entities. rdfs:label often exists but is less reliable for titles; prefer dblp:title.
7. If dblp:authoredBy on a pub yields a disambiguation author node (e.g., “… (disambiguation)”), treat it as the author IRI to use in joins; it still identifies the creator.
8. Use dblp:createdBy as an alternative to dblp:authoredBy when authoredBy is missing; both link pubs to creators. Prefer authoredBy for authorship semantics.
9. When filtering by venue names, dblp:publishedIn is a short string (e.g., ‘WSC’, ‘ICALT’, ‘Gov. Inf. Q.’). Avoid FILTER on ?pub IRI strings; filter on dblp:publishedIn value.
10. Avoid rdf:type for pubs; rely on authoredBy/title/publishedIn/yearOfPublication. When counting, use COUNT(DISTINCT ?pub). For average per year, take AVG over yearly counts (subquery GROUP BY year); don’t divide by year-span.
11. Avoid using foaf:name/rdfs:label on creators for joins. Creators expose dblp:creatorName/primaryCreatorName and dblp:primaryAffiliation (string). Prefer joins on IRIs; fetch names/affiliations separately. Use SELECT DISTINCT ?author to dedup.
12. When a SELECT returns no rows unexpectedly, check schema via search_property/search_property_of_entity or list the entity. Many failures stem from using wrong props (dblp:author vs dblp:authoredBy).
13. Negations: avoid tautological NOT EXISTS. Prefer ASK { positive pattern } and invert in prose. For “also published in V?”, test other pubs by same authors and exclude the given pub via FILTER(?other != <pubIRI>) together with dblp:publishedIn 'V'.
14. Avoid text search on titles with CONTAINS/LCASE for exact identification; prefer search_entity to get the record IRI, then query structured triples. After search_entity, verify exact title via dblp:title; don’t pick a “closest match” blindly.
15. Be careful with complex ASK + FILTER combinations; QLever may error (CartesianProductJoin assertion). Simplify logic or split into separate queries to avoid engine bugs.
16. For number of authors, prefer dblp:numberOfCreators when available; otherwise COUNT(DISTINCT ?a) over dblp:authoredBy.

General notes for all knowledge graphs:
1. Normalize NL negations to a clear existential query. Prefer ASK { positive pattern }. For negated questions, evaluate the positive fact and invert only in prose. Avoid tautological or heavy NOT EXISTS patterns that can be slow or misleading.
2. For relative time windows (“last N years”), always use YEAR(NOW()) in SPARQL and align inclusive/exclusive bounds with the question phrasing. Do not hardcode current year in answers; base the conclusion strictly on query results.

You can use the following SPARQL prefixes implicitly in all functions:
bibtex: <http://purl.org/net/nknouf/ns/bibtex#
cito: <http://purl.org/spar/cito/
datacite: <http://purl.org/spar/datacite/
dblp: <https://dblp.org/rdf/schema#
dblps: <https://dblp.org/rdf/schema-2020-07-01#
literal: <http://purl.org/spar/literal/
owl: <http://www.w3.org/2002/07/owl#
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
terms: <http://purl.org/dc/terms/
wd: <http://www.wikidata.org/entity/
wdt: <http://www.wikidata.org/prop/direct/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
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. 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.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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] In 2016, how many papers did the authors of 'Cyber Incident Classifications Using Ontology-Based Knowledge Representation for Cybersecurity Insurance in Financial Industry' publish?

[Assistant]
Let's break down the question:

1. Identify the publication with the title 'Cyber Incident Classifications Using Ontology-Based Knowledge Representation for Cybersecurity Insurance in Financial Industry'.
2. Find its authors (using dblp:authoredBy).
3. For each author, count the number of papers they published in 2016.

Step 1: Search for the publication entity by its title.

[Tool]
Top 10 entity alternatives:
1. Sam Adam Elnagdy et al.: Cyber I...ce in Financial Industry. (2016) (<https://dblp.org/rec/conf/cscloud/ElnagdyQG16a>)
2. Keke Gai et al.: Secure cyber in...rance in cloud computing. (2017) (<https://dblp.org/rec/journals/concurrency/GaiQH17>)
3. Sam Adam Elnagdy et al.: Underst...ustry in Cloud Computing. (2016) (<https://dblp.org/rec/conf/cscloud/ElnagdyQG16>)
4. Patrick Andrei Caron Guerra et a...ent Resolution Knowledge. (2023) (<https://dblp.org/rec/conf/ladc/GuerraBNFS23>)
5. Keke Gai et al.: Security-Aware ...nt in Financial Big Data. (2016) (<https://dblp.org/rec/conf/bigdatasec/GaiQE16a>)
6. Kao-Yi Shen et al.: Financial mo... based hybrid MCDM model. (2017) (<https://dblp.org/rec/journals/isci/ShenHT17>)
7. Maja Videnovik et al.: Using Pee...urity in Primary Schools. (2025) (<https://dblp.org/rec/journals/access/VidenovikTVKBF25>)
8. Keke Gai et al.: A Novel Secure ... Cybersecurity Insurance. (2016) (<https://dblp.org/rec/conf/bigdatasec/GaiQE16>)
9. Miroslav Kis and Bobby Singh: A ...n the Financial Industry. (2018) (<https://dblp.org/rec/conf/ithings/KisS18>)
10. International Workshop on CyberS...r Industry and Academia (CSE4IA) (<https://dblp.org/streams/conf/cse4ia>)

[Tool]
Got 3 rows and 1 column:
| author                                             |
| -------------------------------------------------- |
| Keke Gai (<https://dblp.org/pid/164/3309>)         |
| Sam Adam Elnagdy (<https://dblp.org/pid/184/6425>) |
| Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>)  |

[Tool] Got no rows and 2 columns

[Tool]
Got 18 rows and 3 columns, showing the first 10 rows below:
| subject                                    | property                                     | object                                           |
| ------------------------------------------ | -------------------------------------------- | ------------------------------------------------ |
| Keke Gai (<https://dblp.org/pid/164/3309>) | creatorname (dblp:creatorName)               | Keke Gai                                         |
| Keke Gai (<https://dblp.org/pid/164/3309>) | primaryCreatorName (dblp:primaryCreatorName) | Keke Gai                                         |
| Keke Gai (<https://dblp.org/pid/164/3309>) | wikidata (dblp:wikidata)                     | wd:Q58624164                                     |
| Keke Gai (<https://dblp.org/pid/164/3309>) | orcid (dblp:orcid)                           | <https://orcid.org/0000-0001-6784-0221>          |
| Keke Gai (<https://dblp.org/pid/164/3309>) | webpage (dblp:webpage)                       | <https://ieeexplore.ieee.org/author/37085461833> |
| Keke Gai (<https://dblp.org/pid/164/3309>) | datacite:hasIdentifier                       | _:bn14629209                                     |
| Keke Gai (<https://dblp.org/pid/164/3309>) | rdf:type                                     | Creator (dblp:Creator)                           |
| Keke Gai (<https://dblp.org/pid/164/3309>) | rdfs:label                                   | Keke Gai                                         |
| Keke Gai (<https://dblp.org/pid/164/3309>) | owl:sameAs                                   | wd:Q58624164                                     |
| Keke Gai (<https://dblp.org/pid/164/3309>) | webpage (dblp:webpage)                       | <https://zbmath.org/authors/?q=ai:gai.keke>      |
| ...                                        | ...                                          | ...                                              |

[Tool]
Got 6 rows and 3 columns:
| subject                                            | property                                     | object                 |
| -------------------------------------------------- | -------------------------------------------- | ---------------------- |
| Sam Adam Elnagdy (<https://dblp.org/pid/184/6425>) | creatorname (dblp:creatorName)               | Sam Adam Elnagdy       |
| Sam Adam Elnagdy (<https://dblp.org/pid/184/6425>) | primaryCreatorName (dblp:primaryCreatorName) | Sam Adam Elnagdy       |
| Sam Adam Elnagdy (<https://dblp.org/pid/184/6425>) | rdf:type                                     | Creator (dblp:Creator) |
| Sam Adam Elnagdy (<https://dblp.org/pid/184/6425>) | datacite:hasIdentifier                       | _:bn16108519           |
| Sam Adam Elnagdy (<https://dblp.org/pid/184/6425>) | rdfs:label                                   | Sam Adam Elnagdy       |
| Sam Adam Elnagdy (<https://dblp.org/pid/184/6425>) | rdf:type                                     | Person (dblp:Person)   |

[Tool]
Got 27 rows and 3 columns, showing the first 10 rows below:
| subject                                           | property                                     | object                                                              |
| ------------------------------------------------- | -------------------------------------------- | ------------------------------------------------------------------- |
| Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | creatorname (dblp:creatorName)               | Mei Kang Qiu                                                        |
| Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | primaryCreatorName (dblp:primaryCreatorName) | Meikang Qiu                                                         |
| Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | wikidata (dblp:wikidata)                     | wd:Q102404338                                                       |
| Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | affiliation (dblp:affiliation)               | Columbia University, Department ...l Engineering, New York, NY, USA |
| Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | orcid (dblp:orcid)                           | <https://orcid.org/0000-0002-1004-0140>                             |
| Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | primaryAffiliation (dblp:primaryAffiliation) | Texas A&M University Commerce, D...ent of Computer Science, TX, USA |
| Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | webpage (dblp:webpage)                       | <https://ieeexplore.ieee.org/author/37288778000>                    |
| Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | archivedWebpage (dblp:archivedWebpage)       | <http://www.utdallas.edu/~mxq012100/>                               |
| Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | homepage (dblp:homepage)                     | <https://faculty.tamuc.edu/meikangqiu/>                             |
| Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | primaryHomepage (dblp:primaryHomepage)       | <https://faculty.tamuc.edu/meikangqiu/>                             |
| ...                                               | ...                                          | ...                                                                 |

[Tool]
Got 1 row and 1 column:
| totalPubs2016 |
| ------------- |
| 0 (xsd:int)   |

[Tool] Got no rows and 3 columns

[Tool]
Got 10 rows and 3 columns:
| pub                                                                                | author                                            | year             |
| ------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------- | ---------------- |
| Liehuang Zhu et al.: Blockchain ...ogy in Internet of Things (2019) (<https://dblp.org/rec/books/sp/ZhuGL19>)            | Keke Gai (<https://dblp.org/pid/164/3309>)        | 2019 (xsd:gYear) |
| Keke Gai et al.: MFL-Owner: Owne...onal Transform Watermark. (2025) (<https://dblp.org/rec/conf/aaai/GaiW0WZ025>)        | Keke Gai (<https://dblp.org/pid/164/3309>)        | 2025 (xsd:gYear) |
| Yuanmin Tang et al.: Context-I2W...Composed Image Retrieval. (2024) (<https://dblp.org/rec/conf/aaai/Tang0GZX0W24>)      | Keke Gai (<https://dblp.org/pid/164/3309>)        | 2024 (xsd:gYear) |
| Meiqin Liu et al.: Robust H∞ fus...with missing measurement. (2010) (<https://dblp.org/rec/conf/amcc/LiuQZL10>)          | Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | 2010 (xsd:gYear) |
| Mei Kang Qiu et al.: Voltage Ass...h Guaranteed Probability. (2006) (<https://dblp.org/rec/conf/asap/QiuXZSLS06>)        | Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | 2006 (xsd:gYear) |
| Han Qiu et al.: DeepSweep: An Ev... using Data Augmentation. (2021) (<https://dblp.org/rec/conf/asiaccs/0001ZGZQT21>)    | Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | 2021 (xsd:gYear) |
| Keke Gai and Kim-Kwang Raymond C... Critical Infrastructure. (2022) (<https://dblp.org/rec/conf/asiaccs/GaiC22>)         | Keke Gai (<https://dblp.org/pid/164/3309>)        | 2022 (xsd:gYear) |
| Jiayin Li et al.: Battery-aware ...with lifetime constraint. (2011) (<https://dblp.org/rec/conf/aspdac/LiQNC11>)         | Meikang Qiu (<https://dblp.org/pid/q/MeikangQiu>) | 2011 (xsd:gYear) |
| Chiedu Charles Chiedu et al.: A ...calability in Blockchain. (2025) (<https://dblp.org/rec/conf/bigdatasec/ChieduGW025>) | Keke Gai (<https://dblp.org/pid/164/3309>)        | 2025 (xsd:gYear) |
| Dagula et al.: A Distributed Int...n and Federated Learning. (2025) (<https://dblp.org/rec/conf/bigdatasec/DagulaXGZ25>) | Keke Gai (<https://dblp.org/pid/164/3309>)        | 2025 (xsd:gYear) |

[Tool] Got no rows and 3 columns

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool] Got no rows and 1 columns

[Tool] Stopped generation process


PREFIX dblp: <https://dblp.org/rdf/schema#>
SELECT ?wikidata WHERE {
  <https://dblp.org/pid/o/AJeffersonOffutt> dblp:wikidata ?wikidata
}

The Wikidata ID of Offutt, A. Jefferson is Q6174621.

What is the Wikidata ID of Offutt, A. Jefferson?

[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:
dblp at https://qlever.cs.uni-freiburg.de/api/dblp with notes:
1. Use dblp:authoredBy to link publications to authors. The inverse (author -> pubs) is not via dblp:author; queries with dblp:author typically return no results.
2. Publication year is dblp:yearOfPublication (xsd:gYear). Avoid dblp:year. For last N years use YEAR(NOW()) in FILTER; use >= for inclusive bounds. Don’t assume current year in prose. MIN/MAX work on gYear; avoid unnecessary casts.
3. Venue is dblp:publishedIn (string like short name) and/or dblp:publishedInStream (entity IRI for series/journal/conference). For simple venue text, use dblp:publishedIn.
4. To list an author’s publications: SELECT ?pub WHERE { ?pub dblp:authoredBy <authorIRI> }. Then OPTIONAL get dblp:title, dblp:publishedIn, dblp:yearOfPublication.
5. For yes/no authorship checks, use ASK with dblp:authoredBy, e.g., ASK { <pubIRI> dblp:authoredBy <authorIRI> }.
6. Titles are via dblp:title on publication entities. rdfs:label often exists but is less reliable for titles; prefer dblp:title.
7. If dblp:authoredBy on a pub yields a disambiguation author node (e.g., “… (disambiguation)”), treat it as the author IRI to use in joins; it still identifies the creator.
8. Use dblp:createdBy as an alternative to dblp:authoredBy when authoredBy is missing; both link pubs to creators. Prefer authoredBy for authorship semantics.
9. When filtering by venue names, dblp:publishedIn is a short string (e.g., ‘WSC’, ‘ICALT’, ‘Gov. Inf. Q.’). Avoid FILTER on ?pub IRI strings; filter on dblp:publishedIn value.
10. Avoid rdf:type for pubs; rely on authoredBy/title/publishedIn/yearOfPublication. When counting, use COUNT(DISTINCT ?pub). For average per year, take AVG over yearly counts (subquery GROUP BY year); don’t divide by year-span.
11. Avoid using foaf:name/rdfs:label on creators for joins. Creators expose dblp:creatorName/primaryCreatorName and dblp:primaryAffiliation (string). Prefer joins on IRIs; fetch names/affiliations separately. Use SELECT DISTINCT ?author to dedup.
12. When a SELECT returns no rows unexpectedly, check schema via search_property/search_property_of_entity or list the entity. Many failures stem from using wrong props (dblp:author vs dblp:authoredBy).
13. Negations: avoid tautological NOT EXISTS. Prefer ASK { positive pattern } and invert in prose. For “also published in V?”, test other pubs by same authors and exclude the given pub via FILTER(?other != <pubIRI>) together with dblp:publishedIn 'V'.
14. Avoid text search on titles with CONTAINS/LCASE for exact identification; prefer search_entity to get the record IRI, then query structured triples. After search_entity, verify exact title via dblp:title; don’t pick a “closest match” blindly.
15. Be careful with complex ASK + FILTER combinations; QLever may error (CartesianProductJoin assertion). Simplify logic or split into separate queries to avoid engine bugs.
16. For number of authors, prefer dblp:numberOfCreators when available; otherwise COUNT(DISTINCT ?a) over dblp:authoredBy.

General notes for all knowledge graphs:
1. Normalize NL negations to a clear existential query. Prefer ASK { positive pattern }. For negated questions, evaluate the positive fact and invert only in prose. Avoid tautological or heavy NOT EXISTS patterns that can be slow or misleading.
2. For relative time windows (“last N years”), always use YEAR(NOW()) in SPARQL and align inclusive/exclusive bounds with the question phrasing. Do not hardcode current year in answers; base the conclusion strictly on query results.

You can use the following SPARQL prefixes implicitly in all functions:
bibtex: <http://purl.org/net/nknouf/ns/bibtex#
cito: <http://purl.org/spar/cito/
datacite: <http://purl.org/spar/datacite/
dblp: <https://dblp.org/rdf/schema#
dblps: <https://dblp.org/rdf/schema-2020-07-01#
literal: <http://purl.org/spar/literal/
owl: <http://www.w3.org/2002/07/owl#
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
terms: <http://purl.org/dc/terms/
wd: <http://www.wikidata.org/entity/
wdt: <http://www.wikidata.org/prop/direct/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
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. 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.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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 Wikidata ID of Offutt, A. Jefferson?

[Tool]
Top 10 entity alternatives:
1. A. Jefferson Offutt, also known as A. Jefferson Offutt (<https://dblp.org/pid/o/AJeffersonOffutt>)
2. A. Jefferson Offutt: Comments on Tai. (1990) (<https://dblp.org/rec/journals/sigsoft/Offutt90>)
3. A. Jefferson Offutt: Quality Att...eb Software Applications. (2002) (<https://dblp.org/rec/journals/software/Offutt02>)
4. Zhenyi Jin and A. Jefferson Offu...ased Integration Testing. (1996) (<https://dblp.org/rec/conf/iceccs/JinO96>)
5. A. Jefferson Offutt and Aynur Ab... from UML Specifications. (1999) (<https://dblp.org/rec/conf/uml/OffuttA99>)
6. A. Jefferson Offutt: Unit Testin...rsus Integration Testing. (1991) (<https://dblp.org/rec/conf/itc/Offutt91>)
7. A. Jefferson Offutt: An integrat...t data generation system. (1991) (<https://dblp.org/rec/journals/jsi/Offutt91>)
8. Mohammad Abu-Matar and A. Jeffer...itecture Empirical Study. (2007) (<https://dblp.org/rec/conf/seke/Abu-MatarO07>)
9. Richard A. DeMillo and A. Jeffer...tic Test Data Generation. (1991) (<https://dblp.org/rec/journals/tse/DeMilloO91>)
10. A. Jefferson Offutt et al.: An A...ased Integration Testing. (2000) (<https://dblp.org/rec/conf/iceccs/OffuttAA00>)

[Tool]
Got 30 rows and 3 columns, showing the first 10 rows below:
| subject                                                         | property                                     | object                                          |
| --------------------------------------------------------------- | -------------------------------------------- | ----------------------------------------------- |
| A. Jefferson Offutt (<https://dblp.org/pid/o/AJeffersonOffutt>) | creatorname (dblp:creatorName)               | A. Jefferson Offutt                             |
| A. Jefferson Offutt (<https://dblp.org/pid/o/AJeffersonOffutt>) | primaryCreatorName (dblp:primaryCreatorName) | A. Jefferson Offutt                             |
| A. Jefferson Offutt (<https://dblp.org/pid/o/AJeffersonOffutt>) | wikidata (dblp:wikidata)                     | wd:Q6174621                                     |
| A. Jefferson Offutt (<https://dblp.org/pid/o/AJeffersonOffutt>) | affiliation (dblp:affiliation)               | George Mason University, Fairfax, Virginia, USA |
| A. Jefferson Offutt (<https://dblp.org/pid/o/AJeffersonOffutt>) | orcid (dblp:orcid)                           | <https://orcid.org/0000-0002-8657-2557>         |
| A. Jefferson Offutt (<https://dblp.org/pid/o/AJeffersonOffutt>) | primaryAffiliation (dblp:primaryAffiliation) | George Mason University, Fairfax, Virginia, USA |
| A. Jefferson Offutt (<https://dblp.org/pid/o/AJeffersonOffutt>) | webpage (dblp:webpage)                       | <https://dl.acm.org/profile/81100103291>        |
| A. Jefferson Offutt (<https://dblp.org/pid/o/AJeffersonOffutt>) | homepage (dblp:homepage)                     | <http://www.cs.gmu.edu/~offutt/>                |
| A. Jefferson Offutt (<https://dblp.org/pid/o/AJeffersonOffutt>) | primaryHomepage (dblp:primaryHomepage)       | <http://www.cs.gmu.edu/~offutt/>                |
| A. Jefferson Offutt (<https://dblp.org/pid/o/AJeffersonOffutt>) | wikipedia (dblp:wikipedia)                   | <https://en.wikipedia.org/wiki/Jeff_Offutt>     |
| ...                                                             | ...                                          | ...                                             |

[Tool] Stopped generation process


PREFIX dblp: <https://dblp.org/rdf/schema#>
SELECT ?venue WHERE {
  <https://dblp.org/rec/journals/jlp/ShieberSP95> dblp:publishedIn ?venue
}

Got 1 row and 1 column:
| venue            |
| ---------------- |
| J. Log. Program. |

The paper 'Principles and Implementation of Deductive Parsing' was published in the venue 'J. Log. Program.'

Find the venue in which the paper 'Principles and Implementation of Deductive Parsing' was published.

[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:
dblp at https://qlever.cs.uni-freiburg.de/api/dblp with notes:
1. Use dblp:authoredBy to link publications to authors. The inverse (author -> pubs) is not via dblp:author; queries with dblp:author typically return no results.
2. Publication year is dblp:yearOfPublication (xsd:gYear). Avoid dblp:year. For last N years use YEAR(NOW()) in FILTER; use >= for inclusive bounds. Don’t assume current year in prose. MIN/MAX work on gYear; avoid unnecessary casts.
3. Venue is dblp:publishedIn (string like short name) and/or dblp:publishedInStream (entity IRI for series/journal/conference). For simple venue text, use dblp:publishedIn.
4. To list an author’s publications: SELECT ?pub WHERE { ?pub dblp:authoredBy <authorIRI> }. Then OPTIONAL get dblp:title, dblp:publishedIn, dblp:yearOfPublication.
5. For yes/no authorship checks, use ASK with dblp:authoredBy, e.g., ASK { <pubIRI> dblp:authoredBy <authorIRI> }.
6. Titles are via dblp:title on publication entities. rdfs:label often exists but is less reliable for titles; prefer dblp:title.
7. If dblp:authoredBy on a pub yields a disambiguation author node (e.g., “… (disambiguation)”), treat it as the author IRI to use in joins; it still identifies the creator.
8. Use dblp:createdBy as an alternative to dblp:authoredBy when authoredBy is missing; both link pubs to creators. Prefer authoredBy for authorship semantics.
9. When filtering by venue names, dblp:publishedIn is a short string (e.g., ‘WSC’, ‘ICALT’, ‘Gov. Inf. Q.’). Avoid FILTER on ?pub IRI strings; filter on dblp:publishedIn value.
10. Avoid rdf:type for pubs; rely on authoredBy/title/publishedIn/yearOfPublication. When counting, use COUNT(DISTINCT ?pub). For average per year, take AVG over yearly counts (subquery GROUP BY year); don’t divide by year-span.
11. Avoid using foaf:name/rdfs:label on creators for joins. Creators expose dblp:creatorName/primaryCreatorName and dblp:primaryAffiliation (string). Prefer joins on IRIs; fetch names/affiliations separately. Use SELECT DISTINCT ?author to dedup.
12. When a SELECT returns no rows unexpectedly, check schema via search_property/search_property_of_entity or list the entity. Many failures stem from using wrong props (dblp:author vs dblp:authoredBy).
13. Negations: avoid tautological NOT EXISTS. Prefer ASK { positive pattern } and invert in prose. For “also published in V?”, test other pubs by same authors and exclude the given pub via FILTER(?other != <pubIRI>) together with dblp:publishedIn 'V'.
14. Avoid text search on titles with CONTAINS/LCASE for exact identification; prefer search_entity to get the record IRI, then query structured triples. After search_entity, verify exact title via dblp:title; don’t pick a “closest match” blindly.
15. Be careful with complex ASK + FILTER combinations; QLever may error (CartesianProductJoin assertion). Simplify logic or split into separate queries to avoid engine bugs.
16. For number of authors, prefer dblp:numberOfCreators when available; otherwise COUNT(DISTINCT ?a) over dblp:authoredBy.

General notes for all knowledge graphs:
1. Normalize NL negations to a clear existential query. Prefer ASK { positive pattern }. For negated questions, evaluate the positive fact and invert only in prose. Avoid tautological or heavy NOT EXISTS patterns that can be slow or misleading.
2. For relative time windows (“last N years”), always use YEAR(NOW()) in SPARQL and align inclusive/exclusive bounds with the question phrasing. Do not hardcode current year in answers; base the conclusion strictly on query results.

You can use the following SPARQL prefixes implicitly in all functions:
bibtex: <http://purl.org/net/nknouf/ns/bibtex#
cito: <http://purl.org/spar/cito/
datacite: <http://purl.org/spar/datacite/
dblp: <https://dblp.org/rdf/schema#
dblps: <https://dblp.org/rdf/schema-2020-07-01#
literal: <http://purl.org/spar/literal/
owl: <http://www.w3.org/2002/07/owl#
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
terms: <http://purl.org/dc/terms/
wd: <http://www.wikidata.org/entity/
wdt: <http://www.wikidata.org/prop/direct/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
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. 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.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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] Find the venue in which the paper 'Principles and Implementation of Deductive Parsing' was published.

[Tool]
Top 10 entity alternatives:
1. Stuart M. Shieber et al.: Princi...ion of Deductive Parsing. (1995) (<https://dblp.org/rec/journals/jlp/ShieberSP95>)
2. Stuart M. Shieber et al.: Princi...ion of Deductive Parsing. (1994) (<https://dblp.org/rec/journals/corr/ShieberSP94>)
3. Gang Tan: Principles and Impleme...re-Based Fault Isolation. (2017) (<https://dblp.org/rec/journals/ftsec/Tan17>)
4. Gregers Koch: About Application ...of Semantic Meta Parsing. (2005) (<https://dblp.org/rec/conf/somet/Koch05>)
5. Chenming Zhang: Interpretation o...of FreeRider: A tutorial. (2023) (<https://dblp.org/rec/journals/corr/abs-2305-10316>)
6. Andreas Richtsfeld et al.: Imple... for object segmentation. (2012) (<https://dblp.org/rec/conf/icpr/RichtsfeldZV12>)
7. Ulrik Petersen: Principles, Impl...of a Corpus Query System. (2005) (<https://dblp.org/rec/conf/fsmnlp/Petersen05>)
8. Andrzej Ziabicki: The theory of ... computer implementation. (1992) (<https://dblp.org/rec/journals/lre/Ziabicki92>)
9. Mengchi Liu: Design and Implemen...Oriented Database System. (2000) (<https://dblp.org/rec/journals/jiis/Liu00>)
10. Kushal Ajaybhai Anjaria: Computa...a stewardship principles. (2020) (<https://dblp.org/rec/journals/program/Anjaria20>)

[Tool]
Got 1 row and 1 column:
| venue            |
| ---------------- |
| J. Log. Program. |

[Tool] Stopped generation process


PREFIX dblp: <https://dblp.org/rdf/schema#>
SELECT DISTINCT ?venue WHERE {
  VALUES ?author {
    <https://dblp.org/pid/19/2932-1> <https://dblp.org/pid/236/3060> <https://dblp.org/pid/40/4160> <https://dblp.org/pid/40/4731> <https://dblp.org/pid/55/2484-1>
  }
  ?other_pub dblp:authoredBy ?author .
  FILTER ( ?other_pub != <https://dblp.org/rec/conf/fgcn/ChenZXSS08> ) ?other_pub dblp:publishedIn ?venue .
}
ORDER BY ?venue

Got 397 rows and 1 column, showing the first 5 and last 5 rows below:
| venue                |
| -------------------- |
| 6GN                  |
| AAAI                 |
| AAMAS                |
| ACC                  |
| ACM Comput. Surv.    |
| ...                  |
| Wirel. Networks      |
| Wirel. Pers. Commun. |
| WOWMOM               |
| WWW                  |
| 计算机科学                |

The other publications by the authors of 'The Development of a Realistic Simulation Framework with OMNeT++' were published in a wide range of venues, including (but not limited to): AAAI, AAMAS, ACC, ACM Comput. Surv., Wirel. Networks, Wirel. Pers. Commun., WOWMOM, WWW, and many others. The full list contains 397 distinct venues.

In which venues were the other publications published by the authors of 'The Development of a Realistic Simulation Framework with OMNeT++'?

[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:
dblp at https://qlever.cs.uni-freiburg.de/api/dblp with notes:
1. Use dblp:authoredBy to link publications to authors. The inverse (author -> pubs) is not via dblp:author; queries with dblp:author typically return no results.
2. Publication year is dblp:yearOfPublication (xsd:gYear). Avoid dblp:year. For last N years use YEAR(NOW()) in FILTER; use >= for inclusive bounds. Don’t assume current year in prose. MIN/MAX work on gYear; avoid unnecessary casts.
3. Venue is dblp:publishedIn (string like short name) and/or dblp:publishedInStream (entity IRI for series/journal/conference). For simple venue text, use dblp:publishedIn.
4. To list an author’s publications: SELECT ?pub WHERE { ?pub dblp:authoredBy <authorIRI> }. Then OPTIONAL get dblp:title, dblp:publishedIn, dblp:yearOfPublication.
5. For yes/no authorship checks, use ASK with dblp:authoredBy, e.g., ASK { <pubIRI> dblp:authoredBy <authorIRI> }.
6. Titles are via dblp:title on publication entities. rdfs:label often exists but is less reliable for titles; prefer dblp:title.
7. If dblp:authoredBy on a pub yields a disambiguation author node (e.g., “… (disambiguation)”), treat it as the author IRI to use in joins; it still identifies the creator.
8. Use dblp:createdBy as an alternative to dblp:authoredBy when authoredBy is missing; both link pubs to creators. Prefer authoredBy for authorship semantics.
9. When filtering by venue names, dblp:publishedIn is a short string (e.g., ‘WSC’, ‘ICALT’, ‘Gov. Inf. Q.’). Avoid FILTER on ?pub IRI strings; filter on dblp:publishedIn value.
10. Avoid rdf:type for pubs; rely on authoredBy/title/publishedIn/yearOfPublication. When counting, use COUNT(DISTINCT ?pub). For average per year, take AVG over yearly counts (subquery GROUP BY year); don’t divide by year-span.
11. Avoid using foaf:name/rdfs:label on creators for joins. Creators expose dblp:creatorName/primaryCreatorName and dblp:primaryAffiliation (string). Prefer joins on IRIs; fetch names/affiliations separately. Use SELECT DISTINCT ?author to dedup.
12. When a SELECT returns no rows unexpectedly, check schema via search_property/search_property_of_entity or list the entity. Many failures stem from using wrong props (dblp:author vs dblp:authoredBy).
13. Negations: avoid tautological NOT EXISTS. Prefer ASK { positive pattern } and invert in prose. For “also published in V?”, test other pubs by same authors and exclude the given pub via FILTER(?other != <pubIRI>) together with dblp:publishedIn 'V'.
14. Avoid text search on titles with CONTAINS/LCASE for exact identification; prefer search_entity to get the record IRI, then query structured triples. After search_entity, verify exact title via dblp:title; don’t pick a “closest match” blindly.
15. Be careful with complex ASK + FILTER combinations; QLever may error (CartesianProductJoin assertion). Simplify logic or split into separate queries to avoid engine bugs.
16. For number of authors, prefer dblp:numberOfCreators when available; otherwise COUNT(DISTINCT ?a) over dblp:authoredBy.

General notes for all knowledge graphs:
1. Normalize NL negations to a clear existential query. Prefer ASK { positive pattern }. For negated questions, evaluate the positive fact and invert only in prose. Avoid tautological or heavy NOT EXISTS patterns that can be slow or misleading.
2. For relative time windows (“last N years”), always use YEAR(NOW()) in SPARQL and align inclusive/exclusive bounds with the question phrasing. Do not hardcode current year in answers; base the conclusion strictly on query results.

You can use the following SPARQL prefixes implicitly in all functions:
bibtex: <http://purl.org/net/nknouf/ns/bibtex#
cito: <http://purl.org/spar/cito/
datacite: <http://purl.org/spar/datacite/
dblp: <https://dblp.org/rdf/schema#
dblps: <https://dblp.org/rdf/schema-2020-07-01#
literal: <http://purl.org/spar/literal/
owl: <http://www.w3.org/2002/07/owl#
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
terms: <http://purl.org/dc/terms/
wd: <http://www.wikidata.org/entity/
wdt: <http://www.wikidata.org/prop/direct/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
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. 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.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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] In which venues were the other publications published by the authors of 'The Development of a Realistic Simulation Framework with OMNeT++'?

[Assistant]
Let's break down the question:

1. Identify the publication with the title 'The Development of a Realistic Simulation Framework with OMNeT++'.
2. Find the authors of this publication.
3. Find other publications by these authors (excluding the original publication).
4. Retrieve the venues (dblp:publishedIn) where these other publications were published.

First, I will search for the publication entity with the given title.

[Tool]
Top 10 entity alternatives:
1. Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>)
2. Anthony Bilodeau et al.: Develop...c simulation with pySTED. (2024) (<https://dblp.org/rec/journals/natmi/BilodeauMCTHDL24>)
3. Wenjie Zeng et al.: Development ...FETR with BMUS framework. (2025) (<https://dblp.org/rec/journals/ress/ZengLGL25>)
4. Dieter Hildebrandt and Wilhelm H...ethodology and framework. (2008) (<https://dblp.org/rec/journals/jsa/HildebrandtH08>)
5. Alberto Falcone et al.: Simplify...software framework (DKF). (2017) (<https://dblp.org/rec/conf/dsrt/FalconeGTA17>)
6. Hugo López-Fernández et al.: Rap...th the AIBench framework. (2011) (<https://dblp.org/rec/journals/jib/Lopez-FernandezRGRSCCF11>)
7. Daniele Gianni et al.: DisSimJAD...buted simulation systems. (2009) (<https://dblp.org/rec/conf/simutools/GianniDI09>)
8. Anastasia Angelopoulou et al.: A...nalysis simulation model. (2015) (<https://dblp.org/rec/conf/cogsima/AngelopoulouMK15>)
9. David Tai et al.: Development of...rd Architectural Pattern. (2018) (<https://dblp.org/rec/conf/apsec/TaiWL18>)
10. Arnaud Degroote et al.: Integrat...thin the MORSE framework. (2016) (<https://dblp.org/rec/conf/iros/DegrooteKL16>)

[Tool]
Got 1 row and 1 column:
| title                                                             |
| ----------------------------------------------------------------- |
| The Development of a Realistic Simulation Framework with OMNeT++. |

[Tool]
Got 39 rows and 3 columns, showing the first 10 rows below:
| subject                                                                                | property                                   | object                                                                                |
| ----------------------------------------------------------------------------------------------------------------- | ------------------------------------------ | ---------------------------------------------------------------------------------------------------------- |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | hasSignature (dblp:hasSignature)           | _:bn10087452                                                                                |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | createdBy (dblp:createdBy)                 | Lei Shu 0001 (<https://dblp.org/pid/19/2932-1>)                                                            |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | authoredBy (dblp:authoredBy)               | Lei Shu 0001 (<https://dblp.org/pid/19/2932-1>)                                                            |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | publishedInStream (dblp:publishedInStream) | International Conference on Futu...munication and Networking (FGCN) (<https://dblp.org/streams/conf/fgcn>) |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | documentPage (dblp:documentPage)           | <https://doi.ieeecomputersociety.org/10.1109/FGCN.2008.176>                                                |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | bibtexType (dblp:bibtexType)               | bibtex:Inproceedings                                                                                |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | numberOfCreators (dblp:numberOfCreators)   | 5 (xsd:int)                                                                                |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | title (dblp:title)                         | The Development of a Realistic Simulation Framework with OMNeT++.                                          |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | yearOfPublication (dblp:yearOfPublication) | 2008 (xsd:gYear)                                                                                |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | listedOnTocPage (dblp:listedOnTocPage)     | <https://dblp.org/db/conf/fgcn/fgcn2008-1>                                                                 |
| ...                                                                                | ...                                        | ...                                                                                |

[Tool]
Got 5 rows and 3 columns:
| subject                                                                                | property                     | object                                                          |
| ----------------------------------------------------------------------------------------------------------------- | ---------------------------- | --------------------------------------------------------------- |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | authoredBy (dblp:authoredBy) | Lei Shu 0001 (<https://dblp.org/pid/19/2932-1>)                 |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | authoredBy (dblp:authoredBy) | Weiqiang Xu (disambiguation) (<https://dblp.org/pid/236/3060>)  |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | authoredBy (dblp:authoredBy) | Youxian Sun (<https://dblp.org/pid/40/4160>)                    |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | authoredBy (dblp:authoredBy) | Jianhui Zhang (disambiguation) (<https://dblp.org/pid/40/4731>) |
| Jiming Chen et al.: The Developm...n Framework with OMNeT++. (2008) (<https://dblp.org/rec/conf/fgcn/ChenZXSS08>) | authoredBy (dblp:authoredBy) | Jiming Chen 0001 (<https://dblp.org/pid/55/2484-1>)             |

[Tool]
Got 1,537 rows and 2 columns, showing the first 5 and last 5 rows below:
| other_pub                                                                                | venue                               |
| ------------------------------------------------------------------------------------------------------------------------ | ----------------------------------- |
| Naixue Xiong et al.: A Rate Feed... Autonomic Communication. (2010) (<https://dblp.org/rec/books/daglib/p/XiongVYLSL10>) | Autonomic Communication             |
| Chenguang He et al.: A Channel E...uency Selective Channels. (2021) (<https://dblp.org/rec/conf/5gwn/HeZWW21>)           | 6GN                                 |
| Shijian Jiang et al.: In-Hand 3D...om a Monocular RGB Video. (2024) (<https://dblp.org/rec/conf/aaai/JiangYXHLZC24>)     | AAAI                                |
| Zichen Wang et al.: Fed-DFA: Fed...ugh the Adversarial Lens. (2025) (<https://dblp.org/rec/conf/aaai/WangYWWSC025>)      | AAAI                                |
| Qihang Zhou et al.: Detecting Mu...es with Zero Known Label. (2023) (<https://dblp.org/rec/conf/aaai/Zhou0LHM23>)        | AAAI                                |
| ...                                                                                | ...                                 |
| Yang He et al.: Fault Detection ...ion and Image Processing. (2022) (<https://dblp.org/rec/journals/wpc/HeNZKM22>)       | Wirel. Pers. Commun.                |
| Ming Mao et al.: Detecting Malic... for Information Service. (2023) (<https://dblp.org/rec/journals/wpc/Mao0ZP23>)       | Wirel. Pers. Commun.                |
| Wenbo Zhang et al.: A Survivabil...d on a Small-World Model. (2015) (<https://dblp.org/rec/journals/wpc/ZhangHFLS15>)    | Wirel. Pers. Commun.                |
| Jiming Chen et al.: Data Dissemi...n Mobile Social Networks. (2012) (<https://dblp.org/rec/series/sbcs/ChenFS12>)        | Springer Briefs in Computer Science |
| Shibo He et al.: Energy-Efficien...ection in Sensor Networks (2014) (<https://dblp.org/rec/series/sbcs/HeCLS14>)         | Springer Briefs in Computer Science |

[Tool]
Got 397 rows and 1 column, showing the first 5 and last 5 rows below:
| venue                |
| -------------------- |
| 6GN                  |
| AAAI                 |
| AAMAS                |
| ACC                  |
| ACM Comput. Surv.    |
| ...                  |
| Wirel. Networks      |
| Wirel. Pers. Commun. |
| WOWMOM               |
| WWW                  |
| 计算机科学                |

[Tool] Stopped generation process


PREFIX dblp: <https://dblp.org/rdf/schema#>
SELECT ?pub ?title ?venue ?year WHERE {
  ?pub dblp:authoredBy <https://dblp.org/pid/63/10539> .
  OPTIONAL {
    ?pub dblp:title ?title
  }
  OPTIONAL {
    ?pub dblp:publishedIn ?venue
  }
  OPTIONAL {
    ?pub dblp:yearOfPublication ?year
  }
}
ORDER BY DESC ( ?year )

Got 2 rows and 4 columns:
| pub                                                                                | title                                                               | venue                           | year             |
| ----------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------- | ------------------------------- | ---------------- |
| Joaquin Alder Silva-Faundez et a... Mobile Units Using WSNs. (2015) (<https://dblp.org/rec/journals/ijccc/Silva-FaundezDM15>) | An Anticipatory Control for a Fl...tion of Mobile Units Using WSNs. | Int. J. Comput. Commun. Control | 2015 (xsd:gYear) |
| Joaquin Alder Silva-Faundez et a...development and research. (2011) (<https://dblp.org/rec/conf/larc/Silva-FaundezFD11>)      | Senor Maderita: A semi-omnidirec...ining, development and research. | LARC                            | 2011 (xsd:gYear) |

Joaquin Alder Silva-Faundez wrote the following papers:

1. "An Anticipatory Control for a Fleet Coordination of Mobile Units Using WSNs." published in Int. J. Comput. Commun. Control, 2015. IRI: https://dblp.org/rec/journals/ijccc/Silva-FaundezDM15
2. "Senor Maderita: A semi-omnidirectional mobile robot for learning, development and research." published in LARC, 2011. IRI: https://dblp.org/rec/conf/larc/Silva-FaundezFD11

Which papers did the author Silva-Faundez, Joaquin Alder write?

[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:
dblp at https://qlever.cs.uni-freiburg.de/api/dblp with notes:
1. Use dblp:authoredBy to link publications to authors. The inverse (author -> pubs) is not via dblp:author; queries with dblp:author typically return no results.
2. Publication year is dblp:yearOfPublication (xsd:gYear). Avoid dblp:year. For last N years use YEAR(NOW()) in FILTER; use >= for inclusive bounds. Don’t assume current year in prose. MIN/MAX work on gYear; avoid unnecessary casts.
3. Venue is dblp:publishedIn (string like short name) and/or dblp:publishedInStream (entity IRI for series/journal/conference). For simple venue text, use dblp:publishedIn.
4. To list an author’s publications: SELECT ?pub WHERE { ?pub dblp:authoredBy <authorIRI> }. Then OPTIONAL get dblp:title, dblp:publishedIn, dblp:yearOfPublication.
5. For yes/no authorship checks, use ASK with dblp:authoredBy, e.g., ASK { <pubIRI> dblp:authoredBy <authorIRI> }.
6. Titles are via dblp:title on publication entities. rdfs:label often exists but is less reliable for titles; prefer dblp:title.
7. If dblp:authoredBy on a pub yields a disambiguation author node (e.g., “… (disambiguation)”), treat it as the author IRI to use in joins; it still identifies the creator.
8. Use dblp:createdBy as an alternative to dblp:authoredBy when authoredBy is missing; both link pubs to creators. Prefer authoredBy for authorship semantics.
9. When filtering by venue names, dblp:publishedIn is a short string (e.g., ‘WSC’, ‘ICALT’, ‘Gov. Inf. Q.’). Avoid FILTER on ?pub IRI strings; filter on dblp:publishedIn value.
10. Avoid rdf:type for pubs; rely on authoredBy/title/publishedIn/yearOfPublication. When counting, use COUNT(DISTINCT ?pub). For average per year, take AVG over yearly counts (subquery GROUP BY year); don’t divide by year-span.
11. Avoid using foaf:name/rdfs:label on creators for joins. Creators expose dblp:creatorName/primaryCreatorName and dblp:primaryAffiliation (string). Prefer joins on IRIs; fetch names/affiliations separately. Use SELECT DISTINCT ?author to dedup.
12. When a SELECT returns no rows unexpectedly, check schema via search_property/search_property_of_entity or list the entity. Many failures stem from using wrong props (dblp:author vs dblp:authoredBy).
13. Negations: avoid tautological NOT EXISTS. Prefer ASK { positive pattern } and invert in prose. For “also published in V?”, test other pubs by same authors and exclude the given pub via FILTER(?other != <pubIRI>) together with dblp:publishedIn 'V'.
14. Avoid text search on titles with CONTAINS/LCASE for exact identification; prefer search_entity to get the record IRI, then query structured triples. After search_entity, verify exact title via dblp:title; don’t pick a “closest match” blindly.
15. Be careful with complex ASK + FILTER combinations; QLever may error (CartesianProductJoin assertion). Simplify logic or split into separate queries to avoid engine bugs.
16. For number of authors, prefer dblp:numberOfCreators when available; otherwise COUNT(DISTINCT ?a) over dblp:authoredBy.

General notes for all knowledge graphs:
1. Normalize NL negations to a clear existential query. Prefer ASK { positive pattern }. For negated questions, evaluate the positive fact and invert only in prose. Avoid tautological or heavy NOT EXISTS patterns that can be slow or misleading.
2. For relative time windows (“last N years”), always use YEAR(NOW()) in SPARQL and align inclusive/exclusive bounds with the question phrasing. Do not hardcode current year in answers; base the conclusion strictly on query results.

You can use the following SPARQL prefixes implicitly in all functions:
bibtex: <http://purl.org/net/nknouf/ns/bibtex#
cito: <http://purl.org/spar/cito/
datacite: <http://purl.org/spar/datacite/
dblp: <https://dblp.org/rdf/schema#
dblps: <https://dblp.org/rdf/schema-2020-07-01#
literal: <http://purl.org/spar/literal/
owl: <http://www.w3.org/2002/07/owl#
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
schema: <http://schema.org/
terms: <http://purl.org/dc/terms/
wd: <http://www.wikidata.org/entity/
wdt: <http://www.wikidata.org/prop/direct/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
skos: <http://www.w3.org/2004/02/skos/core#
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
geo: <http://www.opengis.net/ont/geosparql#
geosparql: <http://www.opengis.net/ont/geosparql#
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. 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.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. 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.
5. 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.
6. 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.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. 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 papers did the author Silva-Faundez, Joaquin Alder write?

[Assistant]
Let's break down the question:

1. We need to identify the author entity for "Silva-Faundez, Joaquin Alder" in the dblp knowledge graph.
2. Then, we need to find all publications (papers) that are linked to this author via dblp:authoredBy.
3. For each publication, we should retrieve its IRI, and optionally its title, venue, and year.

Step 1: Search for the author entity "Silva-Faundez, Joaquin Alder" in dblp.

[Tool]
Top 10 entity alternatives:
1. Joaquin Alder Silva-Faundez, also known as Joaquin Alder Silva-Faundez (<https://dblp.org/pid/63/10539>)
2. Joaquín García 0001, also known as Joaquín García (<https://dblp.org/pid/g/JoaquinGarcia>)
3. Joaquin Vanschoren, also known as Joaquin Vanschoren (<https://dblp.org/pid/85/5045>)
4. Joaquín Izquierdo 0001, also known as Joaquín Izquierdo (<https://dblp.org/pid/13/3935>)
5. Joaquín Huerta, also known as Joaquín Huerta (<https://dblp.org/pid/67/3031>)
6. Joaquín Bedia, also known as Joaquín Bedia (<https://dblp.org/pid/211/6348>)
7. Joaquin Chung 0001, also known as Joaquin Chung (<https://dblp.org/pid/123/3345>)
8. Joaquín Salas, also known as Joaquín Salas (<https://dblp.org/pid/93/2942>)
9. Joaquín Gairín-Sallán, also known as Joaquín Gairín-Sallán (<https://dblp.org/pid/71/8892>)
10. Joaquín Olivares 0001, also known as Joaquín Olivares (<https://dblp.org/pid/86/2422>)

[Tool]
Got 6 rows and 3 columns:
| subject                                                       | property                                     | object                      |
| ------------------------------------------------------------- | -------------------------------------------- | --------------------------- |
| Joaquin Alder Silva-Faundez (<https://dblp.org/pid/63/10539>) | creatorname (dblp:creatorName)               | Joaquin Alder Silva-Faundez |
| Joaquin Alder Silva-Faundez (<https://dblp.org/pid/63/10539>) | primaryCreatorName (dblp:primaryCreatorName) | Joaquin Alder Silva-Faundez |
| Joaquin Alder Silva-Faundez (<https://dblp.org/pid/63/10539>) | rdf:type                                     | Creator (dblp:Creator)      |
| Joaquin Alder Silva-Faundez (<https://dblp.org/pid/63/10539>) | datacite:hasIdentifier                       | _:bn12196541                |
| Joaquin Alder Silva-Faundez (<https://dblp.org/pid/63/10539>) | rdfs:label                                   | Joaquin Alder Silva-Faundez |
| Joaquin Alder Silva-Faundez (<https://dblp.org/pid/63/10539>) | rdf:type                                     | Person (dblp:Person)        |

[Tool]
Got 2 rows and 4 columns:
| pub                                                                                | title                                                               | venue                           | year             |
| ----------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------- | ------------------------------- | ---------------- |
| Joaquin Alder Silva-Faundez et a... Mobile Units Using WSNs. (2015) (<https://dblp.org/rec/journals/ijccc/Silva-FaundezDM15>) | An Anticipatory Control for a Fl...tion of Mobile Units Using WSNs. | Int. J. Comput. Commun. Control | 2015 (xsd:gYear) |
| Joaquin Alder Silva-Faundez et a...development and research. (2011) (<https://dblp.org/rec/conf/larc/Silva-FaundezFD11>)      | Senor Maderita: A semi-omnidirec...ining, development and research. | LARC                            | 2011 (xsd:gYear) |

[Tool] Stopped generation process