Triple

T8796075
Position Surface form Disambiguated ID Type / Status
Subject Serra do Mar system E209291 entity
Predicate near P350 FINISHED
Object city of 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: city of Curitiba | Statement: [Serra do Mar system, near, city of Curitiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Curitiba
Context triple: [Serra do Mar system, near, city of 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. Itaquera, São Paulo
    Itaquera, São Paulo is an eastern district of São Paulo best known for hosting Corinthians’ modern football stadium, a key venue from the 2014 FIFA World Cup.
  • C. Salesópolis
    Salesópolis is a municipality in the state of São Paulo, Brazil, known for its Atlantic Forest landscapes and for being the headwaters region of the Tietê River.
  • D. Botucatu
    Botucatu is a municipality in southeastern Brazil known for its higher-education institutions, especially São Paulo State University (UNESP), and its surrounding sandstone cliffs and natural landscapes.
  • E. Planaltina
    Planaltina is one of the administrative regions of Brazil’s Federal District, known for its historic town center and role as a residential area near Brasília.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa24ca08190a7738a7f1c446456 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa046aabc8190abca2957593edc8b completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:44 p.m.