Triple
T12489606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centro Nacional de Pesquisa em Energia e Materiais |
E298526
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
Laboratório Nacional de Computação Científica de Alto Desempenho
Laboratório Nacional de Computação Científica de Alto Desempenho is a Brazilian national laboratory dedicated to advanced high-performance computing research and infrastructure in support of scientific and technological development.
|
E988068
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Laboratório Nacional de Computação Científica de Alto Desempenho | Statement: [Centro Nacional de Pesquisa em Energia e Materiais, operates, Laboratório Nacional de Computação Científica de Alto Desempenho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laboratório Nacional de Computação Científica de Alto Desempenho Context triple: [Centro Nacional de Pesquisa em Energia e Materiais, operates, Laboratório Nacional de Computação Científica de Alto Desempenho]
-
A.
High‑Performance Computing Center
The High-Performance Computing Center at Lawrence Livermore National Laboratory is a major facility housing advanced supercomputing resources used for national security, scientific research, and large-scale simulations.
-
B.
National Energy Research Scientific Computing Center
The National Energy Research Scientific Computing Center is a leading U.S. Department of Energy high-performance computing facility that provides advanced computational resources and support for large-scale scientific research.
-
C.
National Center for Supercomputing Applications
The National Center for Supercomputing Applications is a leading U.S. research institution known for pioneering high-performance computing technologies and software, including early web browser development.
-
D.
Supercomputer Education and Research Centre
Supercomputer Education and Research Centre is a high-performance computing and advanced research facility at the Indian Institute of Science that supports cutting-edge scientific and engineering computation.
-
E.
Centro Brasileiro de Pesquisas Físicas
Centro Brasileiro de Pesquisas Físicas is a leading Brazilian research institute in physics, renowned for its contributions to theoretical and experimental physics and for training scientists at the graduate level.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Laboratório Nacional de Computação Científica de Alto Desempenho Triple: [Centro Nacional de Pesquisa em Energia e Materiais, operates, Laboratório Nacional de Computação Científica de Alto Desempenho]
Generated description
Laboratório Nacional de Computação Científica de Alto Desempenho is a Brazilian national laboratory dedicated to advanced high-performance computing research and infrastructure in support of scientific and technological development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laboratório Nacional de Computação Científica de Alto Desempenho Target entity description: Laboratório Nacional de Computação Científica de Alto Desempenho is a Brazilian national laboratory dedicated to advanced high-performance computing research and infrastructure in support of scientific and technological development.
-
A.
High‑Performance Computing Center
The High-Performance Computing Center at Lawrence Livermore National Laboratory is a major facility housing advanced supercomputing resources used for national security, scientific research, and large-scale simulations.
-
B.
National Energy Research Scientific Computing Center
The National Energy Research Scientific Computing Center is a leading U.S. Department of Energy high-performance computing facility that provides advanced computational resources and support for large-scale scientific research.
-
C.
National Center for Supercomputing Applications
The National Center for Supercomputing Applications is a leading U.S. research institution known for pioneering high-performance computing technologies and software, including early web browser development.
-
D.
Supercomputer Education and Research Centre
Supercomputer Education and Research Centre is a high-performance computing and advanced research facility at the Indian Institute of Science that supports cutting-edge scientific and engineering computation.
-
E.
Centro Brasileiro de Pesquisas Físicas
Centro Brasileiro de Pesquisas Físicas is a leading Brazilian research institute in physics, renowned for its contributions to theoretical and experimental physics and for training scientists at the graduate level.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de1db9481909ddf70eb81cdb714 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64ba9e1108190b74984d9da9baebe |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c535c9881908e5bf07d13fa73c5 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6508afef08190ac7a19b1ee90141e |
completed | May 2, 2026, 7:29 p.m. |
Created at: April 8, 2026, 9:56 p.m.