Triple

T8655898
Position Surface form Disambiguated ID Type / Status
Subject Paraná (state) E205414 entity
Predicate largestCity P235 FINISHED
Object Curitiba E115698 NE FINISHED

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: Curitiba | Statement: [Paraná (state), largestCity, Curitiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curitiba
Context triple: [Paraná (state), largestCity, Curitiba]
  • A. Curitiba chosen
    Curitiba is the capital and largest city of the Brazilian state of Paraná, known for its innovative urban planning, extensive public transportation system, and high quality of life.
  • B. Curití
    Curití is a small Colombian town in the Santander Department, known for its colonial architecture, natural landscapes, and traditional crafts.
  • C. Uberlândia
    Uberlândia is a major commercial and logistics hub in the Brazilian state of Minas Gerais, known for its agribusiness, services sector, and strategic location in the country's Southeast.
  • D. Porto Alegre
    Porto Alegre is the capital and largest city of Brazil’s southernmost state, Rio Grande do Sul, known for its cultural diversity, strong gaucho traditions, and important role as a regional economic and political center.
  • E. Caxias do Sul
    Caxias do Sul is a major city in southern Brazil known for its strong European immigrant heritage, particularly German and Italian influences, and its significant industrial and wine-producing sectors.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4844586081909b687e278496eefa completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef373a22c8190931b4107c68e7017 completed April 2, 2026, 10:53 p.m.
Created at: March 30, 2026, 6:29 p.m.