Triple

T19575350
Position Surface form Disambiguated ID Type / Status
Subject Avellaneda Department E489840 entity
Predicate traversedByRiver P165 FINISHED
Object Río Negro 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: Río Negro | Statement: [Avellaneda Department, traversedByRiver, Río Negro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Negro
Context triple: [Avellaneda Department, traversedByRiver, Río Negro]
  • A. Río Negro
    Río Negro is a major river in Argentine Patagonia known for irrigating fertile valleys and supporting agriculture and settlements across the region.
  • B. Río Negro chosen
    Río Negro is a river in the Cundinamarca Department of central Colombia, contributing to the region’s Andean watershed and local ecosystems.
  • C. Mendoza River
    The Mendoza River is a major Andean river in western Argentina that provides vital water for irrigation, hydroelectric power, and human consumption in the arid Mendoza region.
  • D. Neuquén River
    The Neuquén River is a major river in western Argentina that flows through the Neuquén Province and helps form the larger Río Negro system.
  • E. Rionegrero
    Rionegrero is the Spanish demonym for a person from the city of Rionegro in the Antioquia department of Colombia.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e64023fe148190900c6887896c8ea0 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.