Triple

T19220943
Position Surface form Disambiguated ID Type / Status
Subject São Gabriel da Cachoeira E480610 entity
Predicate locatedOnRiver P165 FINISHED
Object Rio 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: Rio Negro | Statement: [São Gabriel da Cachoeira, locatedOnRiver, Rio Negro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Negro
Context triple: [São Gabriel da Cachoeira, locatedOnRiver, Rio Negro]
  • A. Rio Negro chosen
    Rio Negro is a major blackwater river in South America that flows through Colombia, Venezuela, and Brazil before joining the Amazon River.
  • B. Rio Negro
    Rio Negro is a river in southern Brazil that flows through the state of Santa Catarina and serves as an important regional waterway.
  • C. Amazon River
    The Amazon River is one of the world's longest and largest rivers by discharge, flowing across northern South America through the Amazon rainforest and into the Atlantic Ocean.
  • D. Juruena River
    The Juruena River is a major waterway in west-central Brazil that forms part of the upper Amazon basin and helps define the border between the states of Mato Grosso and Amazonas.
  • E. Amazonas
    Amazonas is a vast state in northwestern Brazil, largely covered by the Amazon rainforest and known for its immense biodiversity and the city of Manaus.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3e8d488190a93fb743dabd0ffb completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:24 p.m.