Triple

T15366097
Position Surface form Disambiguated ID Type / Status
Subject Guiana Highlands E367417 entity
Predicate sourceOfRiver P25636 FINISHED
Object Rio Negro E110708 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: Rio Negro | Statement: [Guiana Highlands, sourceOfRiver, Rio Negro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Negro
Context triple: [Guiana Highlands, sourceOfRiver, 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, sparsely populated state in southern Venezuela known for its dense Amazon rainforest, indigenous communities, and rich biodiversity.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e497de48190be249b110999ec5c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d3eb6388190ba269350dbe7dfbc completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:18 a.m.