Triple

T22310162
Position Surface form Disambiguated ID Type / Status
Subject Tupiza E551489 entity
Predicate currency P245 FINISHED
Object Boliviano NE NERFINISHED

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: [Tupiza, currency, Boliviano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boliviano
Context triple: [Tupiza, 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. Paraguayan Spanish
    Paraguayan Spanish is the national variety of Spanish spoken in Paraguay, characterized by extensive lexical and grammatical influence from the indigenous Guaraní language.
  • E. Eastern Bolivian Guaraní
    Eastern Bolivian Guaraní is a variety of the Guaraní language spoken in eastern Bolivia, closely related to Ava Guaraní and used by indigenous Guaraní communities in that region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574d53148190a1ec07f849e1ae9d completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.