Triple

T20541753
Position Surface form Disambiguated ID Type / Status
Subject State University of Amazonas E504354 entity
Predicate nativeName P15 FINISHED
Object Universidade do Estado do Amazonas 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: Universidade do Estado do Amazonas | Statement: [State University of Amazonas, nativeName, Universidade do Estado do Amazonas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universidade do Estado do Amazonas
Context triple: [State University of Amazonas, nativeName, Universidade do Estado do Amazonas]
  • A. 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.
  • B. 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.
  • C. Federal University of Amazonas
    The Federal University of Amazonas is a major Brazilian public university and research institution located in Manaus, serving as a key center for higher education and scientific development in the Amazon region.
  • D. UFAM
    UFAM is a major Brazilian public university located in the state of Amazonas, recognized for its teaching and research focused on the Amazon region.
  • E. University of Uyo
    The University of Uyo is a federal university in Uyo, Nigeria, known for offering a wide range of undergraduate and postgraduate programs across diverse fields of study.
  • 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: Universidade do Estado do Amazonas
Target entity description: Universidade do Estado do Amazonas is a Brazilian public university based in the state of Amazonas, known for its focus on regional development, environmental studies, and access to higher education across the Amazon region.
  • A. 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.
  • B. 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.
  • C. Federal University of Amazonas
    The Federal University of Amazonas is a major Brazilian public university and research institution located in Manaus, serving as a key center for higher education and scientific development in the Amazon region.
  • D. UFAM
    UFAM is a major Brazilian public university located in the state of Amazonas, recognized for its teaching and research focused on the Amazon region.
  • E. University of Uyo
    The University of Uyo is a federal university in Uyo, Nigeria, known for offering a wide range of undergraduate and postgraduate programs across diverse fields of study.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a292dd1c8190b5c3031f3b44eb52 completed April 20, 2026, 10:02 p.m.
Created at: April 16, 2026, 11:37 a.m.