Triple

T5573513
Position Surface form Disambiguated ID Type / Status
Subject Potosí Department E146260 entity
Predicate currency P245 FINISHED
Object Boliviano E26792 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: Boliviano | Statement: [Potosí Department, currency, Boliviano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boliviano
Context triple: [Potosí Department, currency, Boliviano]
  • A. Boliviano chosen
    The Boliviano is the official monetary unit of Bolivia, used for everyday transactions and financial operations throughout the country.
  • B. Bolivian Spanish
    Bolivian Spanish is the variety of Spanish spoken in Bolivia, notable for its strong influence from indigenous languages such as Aymara and Quechua, which shape its vocabulary, pronunciation, and expressions.
  • C. Paraguayan guaraní
    The Paraguayan guaraní is the official monetary unit of Paraguay, used for all everyday transactions and financial operations in the country.
  • D. Guaraní
    Guaraní is an indigenous South American language of the Tupi–Guaraní family, widely spoken in Paraguay and neighboring countries and notable for its strong cultural and national significance.
  • E. Andean Spanish
    Andean Spanish is a regional variety of the Spanish language spoken in the highland areas of countries such as Peru, Bolivia, Ecuador, Colombia, and northern Chile, characterized by distinctive phonetic, grammatical, and lexical features influenced by indigenous languages like Quechua and Aymara.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02052dd0481909aba6863831357eb completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02852a6fc8190a543508ab3237f95 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:37 p.m.