Triple

T9575534
Position Surface form Disambiguated ID Type / Status
Subject Brazilian Payment System E231034 entity
Predicate hasAcronym P43 FINISHED
Object SPB E806346 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: SPB | Statement: [Brazilian Payment System, hasAcronym, SPB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SPB
Context triple: [Brazilian Payment System, hasAcronym, SPB]
  • A. SPB chosen
    SPB is the acronym for the Brazilian Payment System, the nationwide infrastructure that enables and regulates financial transactions in Brazil.
  • B. SBP
    SBP is the central bank of Pakistan, responsible for regulating the country’s monetary and credit system and ensuring financial stability.
  • C. SBP
    SBP is a federally assisted meal program in the United States that provides nutritious breakfasts to schoolchildren to support their health and learning.
  • D. TSPB
    TSPB is the abbreviation for the Texas State Preservation Board, the state agency responsible for preserving and maintaining key historic buildings and artifacts in Texas, including the State Capitol.
  • E. PBSP
    PBSP is a maximum-security California state prison in Crescent City known for housing some of the state’s most dangerous inmates and operating extensive Security Housing Units.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aa964c8190a50717edff30f10b completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1614f33108190901e3037654c50ab completed April 4, 2026, 7:06 p.m.
Created at: March 30, 2026, 8:05 p.m.