Triple

T18112256
Position Surface form Disambiguated ID Type / Status
Subject National Route 12 (Argentina) E433507 entity
Predicate serves P98 FINISHED
Object Paraná City 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: Paraná City | Statement: [National Route 12 (Argentina), serves, Paraná City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paraná City
Context triple: [National Route 12 (Argentina), serves, Paraná City]
  • A. Paraná city chosen
    Paraná city is the capital of Argentina’s Entre Ríos Province, located on the eastern bank of the Paraná River opposite Santa Fe.
  • B. 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.
  • C. Jaraguá do Sul
    Jaraguá do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage and industrial economy.
  • D. Ponta Porã
    Ponta Porã is a Brazilian border city in the state of Mato Grosso do Sul, known for its close integration with the Paraguayan city of Pedro Juan Caballero.
  • E. 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.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3422c81908396a21bd53f3e47 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.