Triple

T18185501
Position Surface form Disambiguated ID Type / Status
Subject bolívar venezolano E435400 entity
Predicate hasAlternativeName P39 FINISHED
Object bolívar 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: bolívar | Statement: [bolívar venezolano, hasAlternativeName, bolívar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: bolívar
Context triple: [bolívar venezolano, hasAlternativeName, bolívar]
  • A. bolívar venezolano chosen
    Bolívar venezolano is the official fiat currency of Venezuela, named after Simón Bolívar and issued by the country’s central bank.
  • B. Bolívar
    Bolívar is a town in northern Peru located within the La Libertad Region, known for its Andean setting and local agricultural activities.
  • C. Bolívar
    Bolívar is a prominent Bolivian football club based in La Paz and one of the most successful teams in the country’s history.
  • D. Bolívar
    Bolívar is a town and administrative parish located in Carchi Province in northern Ecuador, near the border with Colombia.
  • E. Bolivar
    Bolivar is a small historic town in Jefferson County, West Virginia, located near Harpers Ferry in the eastern panhandle of the state.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffdccd881908da772db78b9d081 completed April 19, 2026, 2 p.m.
Created at: April 10, 2026, 10:31 a.m.