Triple
T14342712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE World Congress on Computational Intelligence |
E355641
|
entity |
| Predicate | includesConference |
P2576
|
FINISHED |
| Object |
IEEE Congress on Evolutionary Computation
The IEEE Congress on Evolutionary Computation is a leading international conference focused on research and applications in evolutionary computation and related computational intelligence techniques.
|
E1094342
|
NE FINISHED |
Disambiguation candidates (2 decisions)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IEEE Congress on Evolutionary Computation Context triple: [IEEE World Congress on Computational Intelligence, includesConference, IEEE Congress on Evolutionary Computation]
-
A.
Genetic and Evolutionary Computation Conference
The Genetic and Evolutionary Computation Conference is a leading international research conference focused on genetic algorithms, evolutionary computation, and related bio-inspired optimization methods.
-
B.
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation is a leading peer-reviewed journal focusing on the theory, design, and application of evolutionary computation and related computational intelligence methods.
-
C.
IEEE World Congress on Computational Intelligence
The IEEE World Congress on Computational Intelligence is a major international conference that brings together researchers and practitioners to present and discuss advances in computational intelligence fields such as neural networks, fuzzy systems, and evolutionary computation.
-
D.
ACM SIGEVO
ACM SIGEVO is the Association for Computing Machinery’s Special Interest Group on Genetic and Evolutionary Computation, focusing on research and conferences in evolutionary algorithms and related fields.
-
E.
ACM Transactions on Evolutionary Learning and Optimization
ACM Transactions on Evolutionary Learning and Optimization is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in evolutionary computation, machine learning, and optimization methods.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IEEE Congress on Evolutionary Computation Target entity description: The IEEE Congress on Evolutionary Computation is a leading international conference focused on research and applications in evolutionary computation and related computational intelligence techniques.
-
A.
Genetic and Evolutionary Computation Conference
The Genetic and Evolutionary Computation Conference is a leading international research conference focused on genetic algorithms, evolutionary computation, and related bio-inspired optimization methods.
-
B.
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation is a leading peer-reviewed journal focusing on the theory, design, and application of evolutionary computation and related computational intelligence methods.
-
C.
IEEE World Congress on Computational Intelligence
The IEEE World Congress on Computational Intelligence is a major international conference that brings together researchers and practitioners to present and discuss advances in computational intelligence fields such as neural networks, fuzzy systems, and evolutionary computation.
-
D.
ACM SIGEVO
ACM SIGEVO is the Association for Computing Machinery’s Special Interest Group on Genetic and Evolutionary Computation, focusing on research and conferences in evolutionary algorithms and related fields.
-
E.
ACM Transactions on Evolutionary Learning and Optimization
ACM Transactions on Evolutionary Learning and Optimization is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in evolutionary computation, machine learning, and optimization methods.
- F. None of above. chosen
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d8278fa2108190bc0d0e7939c1eb03 |
elicitation | completed |
| NER | batch_69de8e87febc8190a63c668cbd0fd713 |
ner | completed |
| NED1 | batch_69fd469d899081909103563f209dd944 |
ned_source_triple | completed |
| NED2 | batch_69fd492226888190a014b23e506ab19c |
ned_description | completed |
| NEDg | batch_69fd47fa764c8190b1d691f5847b7a05 |
nedg | completed |
Created at: April 10, 2026, 1:14 a.m.