Triple

T1241388
Position Surface form Disambiguated ID Type / Status
Subject Beni E26664 entity
Predicate hasSettlement P1068 FINISHED
Object Riberalta E3661 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: Riberalta | Statement: [Beni, hasSettlement, Riberalta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riberalta
Context triple: [Beni, hasSettlement, Riberalta]
  • A. Paraguay
    Paraguay is a landlocked country in central South America known for its bilingual Spanish and Guaraní culture and its location along the Paraguay and Paraná rivers.
  • B. Bolivia chosen
    Bolivia is a landlocked country in central South America known for its diverse indigenous cultures, Andean and Amazonian landscapes, and administrative capitals La Paz and Sucre.
  • C. United Provinces of the Río de la Plata
    The United Provinces of the Río de la Plata was the early 19th-century precursor state to modern Argentina, formed after independence from Spanish colonial rule in South America.
  • D. Sucre State
    Sucre State is a coastal state in northeastern Venezuela known for its Caribbean beaches, fishing industry, and colonial heritage.
  • E. Tocaima
    Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf44ac3c8190a28a333b320305fd completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b01ccc410c819094800b656937b61e completed March 10, 2026, 1:29 p.m.
Created at: March 1, 2026, 7:47 p.m.