Triple

T18822461
Position Surface form Disambiguated ID Type / Status
Subject Paraná E460294 entity
Predicate hasCity P316 FINISHED
Object Cascavel 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: Cascavel | Statement: [Paraná, hasCity, Cascavel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cascavel
Context triple: [Paraná, hasCity, Cascavel]
  • A. Cascavel chosen
    Cascavel is a major city in western Paraná, Brazil, known as an important regional hub for agribusiness, commerce, and services.
  • B. Lajeado
    Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
  • C. Cuiabá
    Cuiabá is the capital city of Brazil’s Mato Grosso state and a primary urban hub and access point for exploring the Pantanal wetlands.
  • D. Palmas
    Palmas is a planned city in central Brazil that serves as the administrative and political center of the state of Tocantins.
  • E. Baraguá
    Baraguá is a historic locality in eastern Cuba best known as the site of the 1878 Baraguá Protest, a landmark act of resistance during the Ten Years' War for Cuban independence.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bbc7148190819252071a765975 completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.