Triple

T4802249
Position Surface form Disambiguated ID Type / Status
Subject Viedma E106861 entity
Predicate locatedOnRiver P165 FINISHED
Object Río Negro River E19418 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: Río Negro River | Statement: [Viedma, locatedOnRiver, Río Negro River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Negro River
Context triple: [Viedma, locatedOnRiver, Río Negro River]
  • A. Río Negro chosen
    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
    Río Negro is a river in the Cundinamarca Department of central Colombia, contributing to the region’s Andean watershed and local ecosystems.
  • C. Coronel River
    Coronel River is a lesser-known waterway in the Philippines that feeds into the larger Pampanga River system in Central Luzon.
  • D. 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.
  • E. 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.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c42113081908824f3608e65cbff completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfd70b4a7c8190852503f31142562e completed March 22, 2026, 11:48 a.m.
Created at: March 20, 2026, 1:23 p.m.