Triple

T14430490
Position Surface form Disambiguated ID Type / Status
Subject Putumayo River E357813 entity
Predicate mouth P407 FINISHED
Object Amazon River E16895 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: Amazon River | Statement: [Putumayo River, mouth, Amazon River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon River
Context triple: [Putumayo River, mouth, Amazon River]
  • A. Amazon River chosen
    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.
  • B. 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.
  • C. Amazonas
    Amazonas is a vast, sparsely populated department in southern Colombia known for its dense Amazon rainforest, rich biodiversity, and access to the Amazon River.
  • D. Rio Negro
    Rio Negro is a major blackwater river in South America that flows through Colombia, Venezuela, and Brazil before joining the Amazon River.
  • E. 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.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914570f08190b1c7c1c57a0cb476 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd3e6c48190b4fc3794202a0c3f completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.