Triple

T11478837
Position Surface form Disambiguated ID Type / Status
Subject São Carlos E272089 entity
Predicate hasHigherEducationInstitution P113 FINISHED
Object Center for Exact Sciences and Technology (CCET-UFSCar)
The Center for Exact Sciences and Technology (CCET-UFSCar) is an academic unit of the Federal University of São Carlos in Brazil, dedicated to teaching and research in fields such as mathematics, physics, chemistry, and related technological areas.
E927685 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: Center for Exact Sciences and Technology (CCET-UFSCar) | Statement: [São Carlos, hasHigherEducationInstitution, Center for Exact Sciences and Technology (CCET-UFSCar)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Center for Exact Sciences and Technology (CCET-UFSCar)
Context triple: [São Carlos, hasHigherEducationInstitution, Center for Exact Sciences and Technology (CCET-UFSCar)]
  • A. Parque Científico e Tecnológico da Unicamp
    Parque Científico e Tecnológico da Unicamp is a science and technology park linked to the University of Campinas that fosters innovation, research collaboration, and the development of high-tech companies.
  • B. Parque Tecnológico de São José dos Campos
    Parque Tecnológico de São José dos Campos is a major Brazilian science and technology park that fosters innovation, research, and collaboration among companies, universities, and government institutions, particularly in aerospace and high-tech industries.
  • C. Centro Nacional de Pesquisa em Energia e Materiais
    Centro Nacional de Pesquisa em Energia e Materiais is a major Brazilian research center focused on advanced energy and materials science, hosting large-scale facilities such as particle accelerators and national laboratories.
  • D. Centro Universitario de Ciencias Exactas e Ingenierías
    The Centro Universitario de Ciencias Exactas e Ingenierías is a specialized campus of the University of Guadalajara focused on education and research in exact sciences and engineering disciplines.
  • E. Faculty of Sciences and Technology of the University of Coimbra
    The Faculty of Sciences and Technology of the University of Coimbra is a major academic unit specializing in scientific and engineering education and research within Portugal’s historic University of Coimbra.
  • 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: Center for Exact Sciences and Technology (CCET-UFSCar)
Triple: [São Carlos, hasHigherEducationInstitution, Center for Exact Sciences and Technology (CCET-UFSCar)]
Generated description
The Center for Exact Sciences and Technology (CCET-UFSCar) is an academic unit of the Federal University of São Carlos in Brazil, dedicated to teaching and research in fields such as mathematics, physics, chemistry, and related technological areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Center for Exact Sciences and Technology (CCET-UFSCar)
Target entity description: The Center for Exact Sciences and Technology (CCET-UFSCar) is an academic unit of the Federal University of São Carlos in Brazil, dedicated to teaching and research in fields such as mathematics, physics, chemistry, and related technological areas.
  • A. Parque Científico e Tecnológico da Unicamp
    Parque Científico e Tecnológico da Unicamp is a science and technology park linked to the University of Campinas that fosters innovation, research collaboration, and the development of high-tech companies.
  • B. Parque Tecnológico de São José dos Campos
    Parque Tecnológico de São José dos Campos is a major Brazilian science and technology park that fosters innovation, research, and collaboration among companies, universities, and government institutions, particularly in aerospace and high-tech industries.
  • C. Centro Nacional de Pesquisa em Energia e Materiais
    Centro Nacional de Pesquisa em Energia e Materiais is a major Brazilian research center focused on advanced energy and materials science, hosting large-scale facilities such as particle accelerators and national laboratories.
  • D. Centro Universitario de Ciencias Exactas e Ingenierías
    The Centro Universitario de Ciencias Exactas e Ingenierías is a specialized campus of the University of Guadalajara focused on education and research in exact sciences and engineering disciplines.
  • E. Faculty of Sciences and Technology of the University of Coimbra
    The Faculty of Sciences and Technology of the University of Coimbra is a major academic unit specializing in scientific and engineering education and research within Portugal’s historic University of Coimbra.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294f0e948190b2e106beb86e4b2c completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e970743c8190a5be4d59d1b941d6 completed April 20, 2026, 8:53 a.m.
NEDg Description generation batch_69e5f15b37c8819083d9275ceb7b3806 completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f89dd4bc8190b0cccab8414a03aa completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:36 p.m.