Triple

T22794138
Position Surface form Disambiguated ID Type / Status
Subject Goiânia E564193 entity
Predicate hasUniversity P113 FINISHED
Object Federal University of Goiás (campuses in Goiânia) 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: Federal University of Goiás (campuses in Goiânia) | Statement: [Goiânia, hasUniversity, Federal University of Goiás (campuses in Goiânia)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Federal University of Goiás (campuses in Goiânia)
Context triple: [Goiânia, hasUniversity, Federal University of Goiás (campuses in Goiânia)]
  • A. Federal University of Sergipe (campus in Aracaju)
    The Federal University of Sergipe campus in Aracaju is a major public higher education and research institution in Brazil’s Sergipe state capital, offering a wide range of undergraduate and graduate programs.
  • B. 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.
  • C. Federal University of Western Pará
    The Federal University of Western Pará is a Brazilian public higher education and research institution located in the Amazonian city of Santarém, serving as a key center for regional development and environmental studies.
  • D. Federal University of Piauí
    The Federal University of Piauí is a major Brazilian public university and research institution headquartered in the state of Piauí.
  • E. Centro Universitário de Brasília
    Centro Universitário de Brasília is a higher education institution in Brasília, Brazil, known for offering a wide range of undergraduate and graduate programs, particularly in law and public administration.
  • 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: Federal University of Goiás (campuses in Goiânia)
Target entity description: The Federal University of Goiás (campuses in Goiânia) is a major Brazilian public higher education and research institution whose main campuses are located in the city of Goiânia, offering a wide range of undergraduate and graduate programs.
  • A. Federal University of Sergipe (campus in Aracaju)
    The Federal University of Sergipe campus in Aracaju is a major public higher education and research institution in Brazil’s Sergipe state capital, offering a wide range of undergraduate and graduate programs.
  • B. 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.
  • C. Federal University of Western Pará
    The Federal University of Western Pará is a Brazilian public higher education and research institution located in the Amazonian city of Santarém, serving as a key center for regional development and environmental studies.
  • D. Federal University of Piauí
    The Federal University of Piauí is a major Brazilian public university and research institution headquartered in the state of Piauí.
  • E. Centro Universitário de Brasília
    Centro Universitário de Brasília is a higher education institution in Brasília, Brazil, known for offering a wide range of undergraduate and graduate programs, particularly in law and public administration.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd81794819091b528600e322d7b completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.