Triple

T18256459
Position Surface form Disambiguated ID Type / Status
Subject Pontifical Catholic University of Rio de Janeiro E437234 entity
Predicate shortName P43 FINISHED
Object PUC-Rio NE NERFINISHED

How this triple was built (2 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: PUC-Rio | Statement: [Pontifical Catholic University of Rio de Janeiro, shortName, PUC-Rio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PUC-Rio
Context triple: [Pontifical Catholic University of Rio de Janeiro, shortName, PUC-Rio]
  • A. PUC-Rio chosen
    PUC-Rio is a prestigious private Catholic university in Rio de Janeiro, Brazil, renowned for its strong programs in engineering, computer science, and the humanities.
  • B. Universidade Federal do Rio de Janeiro
    A major Brazilian public university based in Rio de Janeiro, renowned for its comprehensive programs and leading role in research, culture, and higher education in Latin America.
  • C. Universidade do Vale do Paraíba
    Universidade do Vale do Paraíba is a Brazilian higher education institution located in São José dos Campos, known for its strong programs in science, technology, and engineering.
  • D. Escola Politécnica do Rio de Janeiro
    Escola Politécnica do Rio de Janeiro was a prominent Brazilian engineering school known for training influential engineers such as Heitor da Silva Costa.
  • E. University of Campinas
    The University of Campinas is a leading Brazilian public research university renowned for its strong programs in science, technology, and innovation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd85ee548190a102611fcf709ad4 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:34 a.m.