Triple

T8436379
Position Surface form Disambiguated ID Type / Status
Subject Bahia E199233 entity
Predicate timeZone P109 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: [Bahia, timeZone, Brasília Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brasília Time
Context triple: [Bahia, timeZone, 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/Recife
    America/Recife is the time zone used in parts of northeastern Brazil, including the city of Recife and surrounding regions.
  • C. 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.
  • D. Azores Time
    Azores Time is the standard time zone used in the Azores archipelago of Portugal, typically one hour behind mainland Portuguese time.
  • E. Chile Standard Time
    Chile Standard Time is the primary time zone used in central Chile, including regions such as Coquimbo, typically set at UTC−4 hours.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe132a6f881908f990089792fccc4 completed March 31, 2026, 2:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d7d19608190ad3160fc00f8d4b0 completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:08 p.m.