Triple

T1157069
Position Surface form Disambiguated ID Type / Status
Subject Paraguay River E24406 entity
Predicate mouth P407 FINISHED
Object Paraná River E17787 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: Paraná River | Statement: [Paraguay River, mouth, Paraná River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paraná River
Context triple: [Paraguay River, mouth, Paraná River]
  • A. Paraná River chosen
    The Paraná River is one of South America's longest and most important rivers, flowing through Brazil, Paraguay, and Argentina and serving as a key waterway for transport, hydroelectric power, and regional ecosystems.
  • B. Paraguay River
    The Paraguay River is a major South American waterway that flows through Brazil, Bolivia, Paraguay, and Argentina, forming part of the Río de la Plata Basin and serving as a vital route for transport, agriculture, and ecosystems in the region.
  • C. Iguazu River
    The Iguazu River is a South American river famed for the spectacular Iguazu Falls along the border between Brazil and Argentina.
  • D. Rio
    Rio is a 2011 animated adventure-comedy film set in Brazil that follows a domesticated macaw’s journey of self-discovery amid vibrant music and colorful Rio de Janeiro scenery.
  • E. Rio
    Rio is a young, talented hacker and one of the central robbers in the Spanish television series "Money Heist" (La Casa de Papel).
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bc92ae008190a587c12ecc9a502a completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2f3df34819090d942aad0a409fa completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:44 p.m.