Triple

T12838347
Position Surface form Disambiguated ID Type / Status
Subject Sorocaba E306978 entity
Predicate hasHigherEducationInstitution P113 FINISHED
Object Faculdade de Engenharia de Sorocaba
Faculdade de Engenharia de Sorocaba is a higher education institution in Sorocaba, Brazil, focused primarily on engineering and related technological fields.
E1004123 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: Faculdade de Engenharia de Sorocaba | Statement: [Sorocaba, hasHigherEducationInstitution, Faculdade de Engenharia de Sorocaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculdade de Engenharia de Sorocaba
Context triple: [Sorocaba, hasHigherEducationInstitution, Faculdade de Engenharia de Sorocaba]
  • A. Escola de Engenharia de Lorena
    Escola de Engenharia de Lorena is a Brazilian engineering school, now part of the University of São Paulo (USP), known for its programs and research in engineering and technology.
  • B. São Carlos School of Engineering (EESC-USP)
    São Carlos School of Engineering (EESC-USP) is a prominent engineering school of the University of São Paulo, recognized for its strong research output and high-quality undergraduate and graduate programs in engineering and related fields.
  • C. Escola Politécnica da Universidade de São Paulo
    Escola Politécnica da Universidade de São Paulo is one of Brazil’s most prestigious engineering schools, renowned for its rigorous academic programs, research output, and role in training leading engineers and technologists.
  • D. Faculdade de Jaguariúna
    Faculdade de Jaguariúna is a Brazilian higher education institution located in the city of Jaguariúna, São Paulo, offering undergraduate and possibly graduate programs across various fields.
  • E. Universidade de Ribeirão Preto (UNAERP)
    Universidade de Ribeirão Preto (UNAERP) is a private Brazilian higher education institution known for its diverse undergraduate and graduate programs, particularly in health, technology, and social sciences.
  • 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: Faculdade de Engenharia de Sorocaba
Triple: [Sorocaba, hasHigherEducationInstitution, Faculdade de Engenharia de Sorocaba]
Generated description
Faculdade de Engenharia de Sorocaba is a higher education institution in Sorocaba, Brazil, focused primarily on engineering and related technological fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculdade de Engenharia de Sorocaba
Target entity description: Faculdade de Engenharia de Sorocaba is a higher education institution in Sorocaba, Brazil, focused primarily on engineering and related technological fields.
  • A. Escola de Engenharia de Lorena
    Escola de Engenharia de Lorena is a Brazilian engineering school, now part of the University of São Paulo (USP), known for its programs and research in engineering and technology.
  • B. São Carlos School of Engineering (EESC-USP)
    São Carlos School of Engineering (EESC-USP) is a prominent engineering school of the University of São Paulo, recognized for its strong research output and high-quality undergraduate and graduate programs in engineering and related fields.
  • C. Escola Politécnica da Universidade de São Paulo
    Escola Politécnica da Universidade de São Paulo is one of Brazil’s most prestigious engineering schools, renowned for its rigorous academic programs, research output, and role in training leading engineers and technologists.
  • D. Faculdade de Jaguariúna
    Faculdade de Jaguariúna is a Brazilian higher education institution located in the city of Jaguariúna, São Paulo, offering undergraduate and possibly graduate programs across various fields.
  • E. Universidade de Ribeirão Preto (UNAERP)
    Universidade de Ribeirão Preto (UNAERP) is a private Brazilian higher education institution known for its diverse undergraduate and graduate programs, particularly in health, technology, and social sciences.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff11b4481909fb2f92c46186853 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edd30e881909062e8f91f614990 completed May 2, 2026, 11:55 p.m.
NEDg Description generation batch_69f68f8d2ca08190a385635fb6130a9f completed May 2, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_69f69033a66481908bf4ae23fced5983 completed May 3, 2026, midnight
Created at: April 9, 2026, 5:35 p.m.