Triple

T20237921
Position Surface form Disambiguated ID Type / Status
Subject Federal University of Paraná E498201 entity
Predicate shortName P43 FINISHED
Object UFPR 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: UFPR | Statement: [Federal University of Paraná, shortName, UFPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UFPR
Context triple: [Federal University of Paraná, shortName, UFPR]
  • A. Federal University of Paraná chosen
    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. UFSC
    UFSC is the Swiss Federal Office responsible for ensuring the country's economic supply and managing strategic reserves in times of crisis.
  • D. UFSP
    UFSP is the German-language abbreviation for Switzerland’s Federal Office of Public Health, the national authority responsible for public health policy and regulation.
  • E. Universidade Federal do Rio Grande do Sul
    The Universidade Federal do Rio Grande do Sul is a major Brazilian public university based in Porto Alegre, recognized for its strong research output and comprehensive range of undergraduate and graduate programs.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716b4c148190bf663b8a747fbfa5 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.