PREFIX orkgp: <http://orkg.org/orkg/predicate/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?evaluation ?metric ?metricLabel ?value WHERE {
  ?benchmark orkgp:HAS_DATASET <http://orkg.org/orkg/resource/R123364> ; orkgp:HAS_EVALUATION ?evaluation .
  ?evaluation orkgp:HAS_METRIC ?metric ; orkgp:HAS_VALUE ?value .
  OPTIONAL {
    ?metric rdfs:label ?metricLabel
  }
}
ORDER BY DESC ( xsd:float ( ?value ) )
LIMIT 1

The highest benchmark result achieved on the Walker, walk (DMControl500k) dataset is 902 for the metric 'Score'.

[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:
orkg at http://localhost:7054

You can use the following SPARQL prefixes implicitly in all functions:
foaf: <http://xmlns.com/foaf/0.1/
orkgc: <http://orkg.org/orkg/class/
orkgp: <http://orkg.org/orkg/predicate/
orkgsh: <http://orkg.org/orkg/shapes/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
owl: <http://www.w3.org/2002/07/owl#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What is the highest benchmark result achieved on the Walker, walk (DMControl500k) dataset, including the metric and its value?

[Assistant]
Let's break down the question:

1. We need to identify the "Walker, walk (DMControl500k)" dataset in the ORKG.
2. We need to find benchmark results achieved on this dataset.
3. For each result, we need the metric and its value.
4. We need to find the highest value among these results.

Step 1: Search for the "Walker, walk (DMControl500k)" dataset entity in ORKG.

[Tool]
Top 10 entity alternatives:
1. Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R123364>): has type Dataset
2. Benchmark Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R131194>): has type Benchmark
3. Walker, walk (DMControl100k) (<http://orkg.org/orkg/resource/R123295>): has type Dataset
4. Benchmark Walker, walk (DMControl100k) (<http://orkg.org/orkg/resource/R131176>): has type Benchmark
5. Alex Walker (<http://orkg.org/orkg/resource/R139258>): has type Author
6. 2D Walker (<http://orkg.org/orkg/resource/R123300>): has type Dataset
7. DeepMind Walker Walk (Images) (<http://orkg.org/orkg/resource/R123349>): has type Dataset
8. walker.walk (<http://orkg.org/orkg/resource/R123296>): has type Dataset
9. walker.stand (<http://orkg.org/orkg/resource/R123380>): has type Dataset
10. walker.run (<http://orkg.org/orkg/resource/R123373>): has type Dataset

[Assistant]
The entity "Walker, walk (DMControl500k)" with IRI <http://orkg.org/orkg/resource/R123364> is the dataset we are interested in.

Next, we need to find benchmark results achieved on this dataset. Typically, benchmark results are represented as resources or statements linking a method/model, a dataset, a metric, and a value.

Let's search for properties related to "benchmark result" or "result" to see how such results might be represented in ORKG.

[Tool]
Top 10 property alternatives:
1. Benchmark Performance (orkgp:P59252)
2. uses benchmark (orkgp:P38001)
3. Benchmark Time (orkgp:P59253)
4. Has benchmark (orkgp:P34103)
5. has benchmark (orkgp:hasBenchmark)
6. has benchmark (orkgp:HAS_BENCHMARK)
7. Performance Results (orkgp:P15098)
8. Performance measurment (orkgp:P58068)
9. has typical computation time (orkgp:P39028)
10. Per-Task Results (orkgp:P20099)

[Tool] Got no rows and 3 columns

[Assistant]
It appears that querying for the property "Benchmark Performance" (orkgp:P59252) with the dataset as the object did not yield any results. This suggests that the benchmark results may be represented differently.

Let's try searching for statements where the dataset "Walker, walk (DMControl500k)" (<http://orkg.org/orkg/resource/R123364>) is used as the object, regardless of the property, to see how it is linked in the knowledge graph.

[Tool]
Got 1 row and 3 columns:
| subject                                                                          | property                        | object                                                                 |
| -------------------------------------------------------------------------------- | ------------------------------- | ---------------------------------------------------------------------- |
| Benchmark Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R131194>) | has dataset (orkgp:HAS_DATASET) | Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R123364>) |

[Assistant]
We found that the dataset is linked to the entity "Benchmark Walker, walk (DMControl500k)" (<http://orkg.org/orkg/resource/R131194>) via the property "has dataset" (orkgp:HAS_DATASET).

The next step is to investigate how benchmark results are represented for this benchmark entity. Let's list all triples where "Benchmark Walker, walk (DMControl500k)" is the subject to see which properties are used to represent results, metrics, and values.

[Tool]
Got 5 rows and 3 columns:
| subject                                                                          | property                          | object                                                                 |
| -------------------------------------------------------------------------------- | --------------------------------- | ---------------------------------------------------------------------- |
| Benchmark Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R131194>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Score_902 (<http://orkg.org/orkg/resource/R131195>)         |
| Benchmark Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R131194>) | has dataset (orkgp:HAS_DATASET)   | Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R123364>) |
| Benchmark Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R131194>) | rdf:type                          | Benchmark (orkgc:Benchmark)                                            |
| Benchmark Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R131194>) | rdfs:label                        | Benchmark Walker, walk (DMControl500k) (xsd:string)                    |
| Benchmark Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R131194>) | rdf:type                          | orkgc:Resource                                                         |

[Tool]
Got 5 rows and 3 columns:
| subject                                                        | property                  | object                                          |
| -------------------------------------------------------------- | ------------------------- | ----------------------------------------------- |
| Evaluation Score_902 (<http://orkg.org/orkg/resource/R131195>) | value (orkgp:HAS_VALUE)   | 902 (xsd:string)                                |
| Evaluation Score_902 (<http://orkg.org/orkg/resource/R131195>) | metric (orkgp:HAS_METRIC) | Score (<http://orkg.org/orkg/resource/R119875>) |
| Evaluation Score_902 (<http://orkg.org/orkg/resource/R131195>) | rdf:type                  | Evaluation (orkgc:Evaluation)                   |
| Evaluation Score_902 (<http://orkg.org/orkg/resource/R131195>) | rdfs:label                | Evaluation Score_902 (xsd:string)               |
| Evaluation Score_902 (<http://orkg.org/orkg/resource/R131195>) | rdf:type                  | orkgc:Resource                                  |

[Tool]
Got 1 row and 3 columns:
| subject                                                                          | property                          | object                                                         |
| -------------------------------------------------------------------------------- | --------------------------------- | -------------------------------------------------------------- |
| Benchmark Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R131194>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Score_902 (<http://orkg.org/orkg/resource/R131195>) |

[Tool]
Got 3,717 rows and 3 columns, showing the first 10 rows below:
| subject                                                               | property                          | object                                                                                |
| --------------------------------------------------------------------- | --------------------------------- | ------------------------------------------------------------------------------------------------------------- |
| 1-SOTAB_description (<http://orkg.org/orkg/resource/R282239>)         | evaluation (orkgp:HAS_EVALUATION) | Using DoDuo (<http://orkg.org/orkg/resource/R286796>)                                                         |
| MammoTab (<http://orkg.org/orkg/resource/R282243>)                    | evaluation (orkgp:HAS_EVALUATION) | Evaluation using the MTab system...versions of the SemTab challenge (<http://orkg.org/orkg/resource/R287505>) |
| Contribution 1 (<http://orkg.org/orkg/resource/R136069>)              | evaluation (orkgp:HAS_EVALUATION) | Gold standard (<http://orkg.org/orkg/resource/R136078>)                                                       |
| Wikinary (<http://orkg.org/orkg/resource/R282241>)                    | evaluation (orkgp:HAS_EVALUATION) | Human evaluation (<http://orkg.org/orkg/resource/R273019>)                                                    |
| Genome Evolutionary Analysis (<http://orkg.org/orkg/resource/R75376>) | evaluation (orkgp:HAS_EVALUATION) | country of origin (<http://orkg.org/orkg/resource/R33266>)                                                    |
| FedX (<http://orkg.org/orkg/resource/R114017>)                        | evaluation (orkgp:HAS_EVALUATION) | FedBench8 (<http://orkg.org/orkg/resource/R114025>)                                                           |
| Contribution 1 (<http://orkg.org/orkg/resource/R136100>)              | evaluation (orkgp:HAS_EVALUATION) | true (xsd:string)                                                                                |
| SPARQL query optimization (<http://orkg.org/orkg/resource/R75313>)    | evaluation (orkgp:HAS_EVALUATION) | Online running time (xsd:string)                                                                              |
| Contribution 1 (<http://orkg.org/orkg/resource/R182425>)              | evaluation (orkgp:HAS_EVALUATION) | Link Prediction (xsd:string)                                                                                |
| (Main) Contribution (<http://orkg.org/orkg/resource/R76790>)          | evaluation (orkgp:HAS_EVALUATION) | Query performance (<http://orkg.org/orkg/resource/R113263>)                                                   |
| ...                                                                   | ...                               | ...                                                                                |

[Tool]
Got 1 row and 3 columns:
| subject                                                                          | property                          | object                                                         |
| -------------------------------------------------------------------------------- | --------------------------------- | -------------------------------------------------------------- |
| Benchmark Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R131194>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Score_902 (<http://orkg.org/orkg/resource/R131195>) |

[Tool]
Got 1 row and 3 columns:
| subject                                                        | property                  | object                                          |
| -------------------------------------------------------------- | ------------------------- | ----------------------------------------------- |
| Evaluation Score_902 (<http://orkg.org/orkg/resource/R131195>) | metric (orkgp:HAS_METRIC) | Score (<http://orkg.org/orkg/resource/R119875>) |

[Tool]
Got 1 row and 3 columns:
| subject                                                        | property                | object           |
| -------------------------------------------------------------- | ----------------------- | ---------------- |
| Evaluation Score_902 (<http://orkg.org/orkg/resource/R131195>) | value (orkgp:HAS_VALUE) | 902 (xsd:string) |

[Tool]
Got 1 row and 3 columns:
| subject                                                                          | property                          | object                                                         |
| -------------------------------------------------------------------------------- | --------------------------------- | -------------------------------------------------------------- |
| Benchmark Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R131194>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Score_902 (<http://orkg.org/orkg/resource/R131195>) |

[Tool]
Got 1 row and 3 columns:
| subject                                                                          | property                          | object                                                         |
| -------------------------------------------------------------------------------- | --------------------------------- | -------------------------------------------------------------- |
| Benchmark Walker, walk (DMControl500k) (<http://orkg.org/orkg/resource/R131194>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Score_902 (<http://orkg.org/orkg/resource/R131195>) |

[Assistant]
From the data, it appears that there is only one evaluation result for the "Walker, walk (DMControl500k)" benchmark in the ORKG:

- Metric: Score (<http://orkg.org/orkg/resource/R119875>)
- Value: 902

Therefore, the highest benchmark result is 902 for the metric "Score".

Now, I will write a SPARQL query to retrieve the highest benchmark result, including the metric and its value, for the "Walker, walk (DMControl500k)" dataset.

[Tool] Stopped generation process

[User]
Feedback (status=done):
The SPARQL query correctly retrieves the highest benchmark result for the specified dataset, including the metric and its value. The query returns the actual IRIs for the evaluation and metric, and includes the metric label and value as requested. The use of ORDER BY DESC and LIMIT 1 ensures that only the highest value is returned. No further refinements are necessary.


PREFIX orkgp: <http://orkg.org/orkg/predicate/>
SELECT DISTINCT ?metric WHERE {
  <http://orkg.org/orkg/resource/R131190> orkgp:HAS_EVALUATION ?eval .
  ?eval orkgp:HAS_METRIC ?metric .
}

The metric used to evaluate models on the Cheetah, run (DMControl500k) benchmark dataset is: http://orkg.org/orkg/resource/R119875 (Score).

[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:
orkg at http://localhost:7054

You can use the following SPARQL prefixes implicitly in all functions:
foaf: <http://xmlns.com/foaf/0.1/
orkgc: <http://orkg.org/orkg/class/
orkgp: <http://orkg.org/orkg/predicate/
orkgsh: <http://orkg.org/orkg/shapes/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
skos: <http://www.w3.org/2004/02/skos/core#
xsd: <http://www.w3.org/2001/XMLSchema#
owl: <http://www.w3.org/2002/07/owl#
dct: <http://purl.org/dc/terms/
dc: <http://purl.org/dc/elements/1.1/
prov: <http://www.w3.org/ns/prov#
schema: <http://schema.org/
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#
wikibase: <http://wikiba.se/ontology#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] List the metrics that are used to evaluate models on the Cheetah, run (DMControl500k) benchmark dataset?

[Assistant]
Let's break down the question:

1. The user wants to know the metrics used to evaluate models on the "Cheetah, run (DMControl500k)" benchmark dataset.
2. So, we need to:
   - Identify the entity for the "Cheetah, run (DMControl500k)" benchmark dataset in ORKG.
   - Find how evaluation metrics are related to this dataset (likely via properties like "evaluation metric", "metric", or similar).
   - List the metrics (as IRIs, with optional labels).

First, I will search for the "Cheetah, run (DMControl500k)" benchmark dataset entity in ORKG.

[Tool]
Top 10 entity alternatives:
1. Cheetah, run (DMControl500k) (<http://orkg.org/orkg/resource/R123348>): has type Dataset
2. Benchmark Cheetah, run (DMControl500k) (<http://orkg.org/orkg/resource/R131190>): has type Benchmark
3. Cheetah, run (DMControl100k) (<http://orkg.org/orkg/resource/R123344>): has type Dataset
4. Benchmark Cheetah, run (DMControl100k) (<http://orkg.org/orkg/resource/R131186>): has type Benchmark
5. DeepMind Cheetah Run (Images) (<http://orkg.org/orkg/resource/R123341>): has type Dataset
6. Run (<http://orkg.org/orkg/resource/R262159>)
7. Run (<http://orkg.org/orkg/resource/R262158>)
8. run time (<http://orkg.org/orkg/resource/wikidata:Q288510>): has type External
9. cheetah.run (<http://orkg.org/orkg/resource/R123367>): has type Dataset
10. RUN+BERT (<http://orkg.org/orkg/resource/R129000>): has type Model

[Assistant]
There are two closely related entities:
1. Cheetah, run (DMControl500k) (<http://orkg.org/orkg/resource/R123348>) — type: Dataset
2. Benchmark Cheetah, run (DMControl500k) (<http://orkg.org/orkg/resource/R131190>) — type: Benchmark

Since the question is about the benchmark dataset, both may be relevant, but the "Benchmark Cheetah, run (DMControl500k)" entity is likely the main one for evaluation context.

Next, I will search for properties related to "metrics" or "evaluation metric" for this benchmark entity to see how metrics are linked.

[Tool]
Top 10 property alternatives:
1. evaluation (orkgp:HAS_EVALUATION)
2. has dataset (orkgp:HAS_DATASET)

No other items found

[Tool]
Got 1 row and 3 columns:
| subject                                                                          | property                          | object                                                         |
| -------------------------------------------------------------------------------- | --------------------------------- | -------------------------------------------------------------- |
| Benchmark Cheetah, run (DMControl500k) (<http://orkg.org/orkg/resource/R131190>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Score_518 (<http://orkg.org/orkg/resource/R131191>) |

[Tool]
Got 5 rows and 3 columns:
| subject                                                        | property                  | object                                          |
| -------------------------------------------------------------- | ------------------------- | ----------------------------------------------- |
| Evaluation Score_518 (<http://orkg.org/orkg/resource/R131191>) | value (orkgp:HAS_VALUE)   | 518 (xsd:string)                                |
| Evaluation Score_518 (<http://orkg.org/orkg/resource/R131191>) | metric (orkgp:HAS_METRIC) | Score (<http://orkg.org/orkg/resource/R119875>) |
| Evaluation Score_518 (<http://orkg.org/orkg/resource/R131191>) | rdf:type                  | Evaluation (orkgc:Evaluation)                   |
| Evaluation Score_518 (<http://orkg.org/orkg/resource/R131191>) | rdfs:label                | Evaluation Score_518 (xsd:string)               |
| Evaluation Score_518 (<http://orkg.org/orkg/resource/R131191>) | rdf:type                  | orkgc:Resource                                  |

[Tool]
Got 3 rows and 3 columns:
| subject                                         | property   | object                |
| ----------------------------------------------- | ---------- | --------------------- |
| Score (<http://orkg.org/orkg/resource/R119875>) | rdf:type   | Metric (orkgc:Metric) |
| Score (<http://orkg.org/orkg/resource/R119875>) | rdfs:label | Score (xsd:string)    |
| Score (<http://orkg.org/orkg/resource/R119875>) | rdf:type   | orkgc:Resource        |

[Tool]
Got 1 row and 3 columns:
| subject                                                                          | property                          | object                                                         |
| -------------------------------------------------------------------------------- | --------------------------------- | -------------------------------------------------------------- |
| Benchmark Cheetah, run (DMControl500k) (<http://orkg.org/orkg/resource/R131190>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Score_518 (<http://orkg.org/orkg/resource/R131191>) |

[Tool]
Got 3 rows and 3 columns:
| subject                                                                | property   | object                                    |
| ---------------------------------------------------------------------- | ---------- | ----------------------------------------- |
| Cheetah, run (DMControl500k) (<http://orkg.org/orkg/resource/R123348>) | rdf:type   | Dataset (orkgc:Dataset)                   |
| Cheetah, run (DMControl500k) (<http://orkg.org/orkg/resource/R123348>) | rdfs:label | Cheetah, run (DMControl500k) (xsd:string) |
| Cheetah, run (DMControl500k) (<http://orkg.org/orkg/resource/R123348>) | rdf:type   | orkgc:Resource                            |

[Tool]
Got 1 row and 3 columns:
| subject                                                                          | property                          | object                                                         |
| -------------------------------------------------------------------------------- | --------------------------------- | -------------------------------------------------------------- |
| Benchmark Cheetah, run (DMControl500k) (<http://orkg.org/orkg/resource/R131190>) | evaluation (orkgp:HAS_EVALUATION) | Evaluation Score_518 (<http://orkg.org/orkg/resource/R131191>) |

[Tool]
Got 3,272 rows and 3 columns, showing the first 10 rows below:
| subject                                                             | property                  | object                                                                                |
| ------------------------------------------------------------------- | ------------------------- | ------------------------------------------------------------------------------------------------------------- |
| Impact on alpha diversity (<http://orkg.org/orkg/resource/R171897>) | metric (orkgp:HAS_METRIC) | alpha diversity (<http://orkg.org/orkg/resource/R171898>)                                                     |
| Contribution 1 (<http://orkg.org/orkg/resource/R4137>)              | metric (orkgp:HAS_METRIC) | MiF (<http://orkg.org/orkg/resource/R4139>)                                                                   |
| Contribution AutoFormer (<http://orkg.org/orkg/resource/R157419>)   | metric (orkgp:HAS_METRIC) | ImageNet Top-1-Accuracy (<http://orkg.org/orkg/resource/R157421>)                                             |
| Performance Study (<http://orkg.org/orkg/resource/R111492>)         | metric (orkgp:HAS_METRIC) | Accuracy of cost estimation (<http://orkg.org/orkg/resource/R75735>)                                          |
| Experiments (<http://orkg.org/orkg/resource/R159408>)               | metric (orkgp:HAS_METRIC) | Plots show validation regret ove...or all algorithms tested for all (<http://orkg.org/orkg/resource/R159412>) |
| Contribution 1 (<http://orkg.org/orkg/resource/R111390>)            | metric (orkgp:HAS_METRIC) | First bending mode frequency (xsd:string)                                                                     |
| Contribution 1 (<http://orkg.org/orkg/resource/R4774>)              | metric (orkgp:HAS_METRIC) | Average Precision (xsd:string)                                                                                |
| Contribution 1 (<http://orkg.org/orkg/resource/R111387>)            | metric (orkgp:HAS_METRIC) | Resonant frequency (xsd:string)                                                                               |
| Contribution 1 (<http://orkg.org/orkg/resource/R194279>)            | metric (orkgp:HAS_METRIC) |  Cosine similarity
 (xsd:string)                                                                             |
| Contribution 1 (<http://orkg.org/orkg/resource/R109470>)            | metric (orkgp:HAS_METRIC) | Cumulative frequency recovery (<http://orkg.org/orkg/resource/R109485>)                                       |
| ...                                                                 | ...                       | ...                                                                                |

[Tool]
Got 1 row and 2 columns:
| metric                                          | metricLabel        |
| ----------------------------------------------- | ------------------ |
| Score (<http://orkg.org/orkg/resource/R119875>) | Score (xsd:string) |

[Tool] Stopped generation process

[User]
Feedback (status=done):
The output is correct and complete. The SPARQL query retrieves the actual IRI of the metric used to evaluate models on the specified benchmark dataset, as requested. The answer matches the query result, and the query follows all the required rules, including returning the identifier and not using non-standard SPARQL features.