Triple

T18316814
Position Surface form Disambiguated ID Type / Status
Subject Londrina E438769 entity
Predicate hasUniversity P113 FINISHED
Object State University of Londrina — NE NERFINISHED

How this triple was built (3 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: State University of Londrina | Statement: [Londrina, hasUniversity, State University of Londrina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: State University of Londrina
Context triple: [Londrina, hasUniversity, State University of Londrina]
  • A. Federal University of Paraná
    The Federal University of Paraná is one of Brazil’s oldest and most prestigious public universities, renowned for its research and academic excellence.
  • B. Federal University of Santa Catarina
    The Federal University of Santa Catarina is a major Brazilian public university known for its strong research output and comprehensive academic programs across diverse fields.
  • C. Federal University of Mato Grosso
    The Federal University of Mato Grosso is a major Brazilian public university and research institution headquartered in the state of Mato Grosso.
  • D. São Paulo State University
    São Paulo State University is a major Brazilian public university system known for its multiple campuses across the state of São Paulo and its strong emphasis on research and higher education.
  • E. Universidade de Sorocaba
    Universidade de Sorocaba is a Brazilian private university located in the city of Sorocaba, São Paulo, offering a range of undergraduate and graduate programs across multiple fields.
  • 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: State University of Londrina
Target entity description: The State University of Londrina is a prominent public higher education and research institution located in the city of Londrina in the state of Paraná, Brazil.
  • A. Federal University of Paraná
    The Federal University of Paraná is one of Brazil’s oldest and most prestigious public universities, renowned for its research and academic excellence.
  • B. Federal University of Santa Catarina
    The Federal University of Santa Catarina is a major Brazilian public university known for its strong research output and comprehensive academic programs across diverse fields.
  • C. Federal University of Mato Grosso
    The Federal University of Mato Grosso is a major Brazilian public university and research institution headquartered in the state of Mato Grosso.
  • D. São Paulo State University
    São Paulo State University is a major Brazilian public university system known for its multiple campuses across the state of São Paulo and its strong emphasis on research and higher education.
  • E. Universidade de Sorocaba
    Universidade de Sorocaba is a Brazilian private university located in the city of Sorocaba, São Paulo, offering a range of undergraduate and graduate programs across multiple fields.
  • F. None of above. chosen

Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021e61008190a300b6c51976a837 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.