Triple

T13067637
Position Surface form Disambiguated ID Type / Status
Subject Cotia E329369 entity
Predicate hasTimezone P3413 FINISHED
Object Brasília Time E125390 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: Brasília Time | Statement: [Cotia, hasTimezone, Brasília Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brasília Time
Context triple: [Cotia, hasTimezone, Brasília Time]
  • A. Brasília Time chosen
    Brasília Time is the standard time zone used in Brazil’s capital and much of the country’s eastern region, typically set at UTC−03:00.
  • B. America/Sao_Paulo
    America/Sao_Paulo is the primary time zone used in much of southeastern Brazil, including major cities such as São Paulo and Rio de Janeiro.
  • C. America/Recife
    America/Recife is the time zone used in parts of northeastern Brazil, including the city of Recife and surrounding regions.
  • D. America/Bahia_Banderas
    America/Bahia_Banderas is an IANA time zone identifier used for the Bahia de Banderas region in Mexico, aligning it with Central Time.
  • E. Azores Time
    Azores Time is the standard time zone used in the Azores archipelago of Portugal, typically one hour behind mainland Portuguese time.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ec8ba48190baf52c7823482680 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d603419c8190b8d1726365db59dc completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9 p.m.