Triple

T4074442
Position Surface form Disambiguated ID Type / Status
Subject PEN E86727 entity
Predicate introducedAs P513 FINISHED
Object nuevo sol E66052 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: nuevo sol | Statement: [PEN, introducedAs, nuevo sol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: nuevo sol
Context triple: [PEN, introducedAs, nuevo sol]
  • A. nuevo sol chosen
    Nuevo sol was the former official currency of Peru, introduced in the early 1990s to replace the hyperinflated inti and later renamed simply the sol.
  • B. Nueva Paz
    Nueva Paz is a municipality in western Cuba known for its rural character and location within the province surrounding Havana.
  • C. La Nueva Isabela
    La Nueva Isabela was the original Spanish colonial settlement that became the city of Santo Domingo in the Dominican Republic.
  • D. Porvenir
    Porvenir is a small Chilean town on Tierra del Fuego that serves as an important fishing and service port on the Strait of Magellan.
  • E. Porvenir
    Porvenir is a small town that serves as the capital of Pando Department in northern Bolivia, near the border with Brazil.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc245d888190ae773f9c3077953b completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562bc05948190a9ad709768420588 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.