Triple

T17681101
Position Surface form Disambiguated ID Type / Status
Subject Federal University of Amazonas E440770 entity
Predicate isPartOf P10 FINISHED
Object Brazilian federal universities network 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: Brazilian federal universities network | Statement: [Federal University of Amazonas, isPartOf, Brazilian federal universities network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brazilian federal universities network
Context triple: [Federal University of Amazonas, isPartOf, Brazilian federal universities network]
  • A. University of Brasília
    The University of Brasília is a major public research university in Brazil’s capital, known for its strong programs in law, international relations, and the social sciences.
  • B. Universidade do Brasil
    Universidade do Brasil was a major Brazilian federal university in Rio de Janeiro that served as a leading national center for higher education and research in the mid-20th century.
  • C. University of Campinas
    The University of Campinas is a leading Brazilian public research university renowned for its strong programs in science, technology, and innovation.
  • D. Federal University of Bahia
    The Federal University of Bahia is a major Brazilian public university in Salvador, Bahia, known for its strong programs in the arts, humanities, and social sciences.
  • E. Federal University of Pará
    The Federal University of Pará is a major Brazilian public university and research institution based in the Amazon region, known for its contributions to environmental, social, and technological studies.
  • 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: Brazilian federal universities network
Target entity description: The Brazilian federal universities network is a nationwide system of publicly funded higher education institutions that provide tuition-free undergraduate and graduate education, research, and extension services across Brazil.
  • A. University of Brasília
    The University of Brasília is a major public research university in Brazil’s capital, known for its strong programs in law, international relations, and the social sciences.
  • B. Universidade do Brasil
    Universidade do Brasil was a major Brazilian federal university in Rio de Janeiro that served as a leading national center for higher education and research in the mid-20th century.
  • C. University of Campinas
    The University of Campinas is a leading Brazilian public research university renowned for its strong programs in science, technology, and innovation.
  • D. Federal University of Bahia
    The Federal University of Bahia is a major Brazilian public university in Salvador, Bahia, known for its strong programs in the arts, humanities, and social sciences.
  • E. Federal University of Pará
    The Federal University of Pará is a major Brazilian public university and research institution based in the Amazon region, known for its contributions to environmental, social, and technological studies.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e470445b3881908bb0930b986089f7 completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:01 a.m.