Triple

T5419014
Position Surface form Disambiguated ID Type / Status
Subject Marañón River E121202 entity
Predicate tributaryOf P415 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: [Marañón River, tributaryOf, Amazon River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon River
Context triple: [Marañón River, tributaryOf, 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. Rio Negro
    Rio Negro is a major blackwater river in South America that flows through Colombia, Venezuela, and Brazil before joining the Amazon River.
  • D. Napo River
    The Napo River is a major tributary of the Amazon River in northwestern South America, flowing from the Andes through Ecuador into Peru and supporting rich rainforest ecosystems and indigenous communities.
  • E. Paraná River
    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.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87e7ae388190b26d16d42e717023 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8339158c8190b5471c9fb85696e1 completed March 22, 2026, 5:50 a.m.
Created at: March 20, 2026, 2:05 p.m.