Triple

T9510635
Position Surface form Disambiguated ID Type / Status
Subject Himeji E229381 entity
Predicate sisterCity P1072 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: [Himeji, sisterCity, Curitiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curitiba
Context triple: [Himeji, sisterCity, 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. Paraná city
    Paraná city is the capital of Argentina’s Entre Ríos Province, located on the eastern bank of the Paraná River opposite Santa Fe.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9868616c8190856f89fecfa1a02e completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a31600c8190a4a7ecb5231caa36 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:58 p.m.