Triple

T21533005
Position Surface form Disambiguated ID Type / Status
Subject Brazilian Midwest E531280 entity
Predicate hasMajorRiver P165 FINISHED
Object Xingu River 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: Xingu River | Statement: [Brazilian Midwest, hasMajorRiver, Xingu River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xingu River
Context triple: [Brazilian Midwest, hasMajorRiver, Xingu River]
  • A. Xingu River chosen
    The Xingu River is a major river in northern Brazil that flows through the Amazon rainforest, supporting rich biodiversity and numerous Indigenous communities before joining the Amazon River.
  • B. Tapajós River
    The Tapajós River is a large clearwater river in northern Brazil that flows through the Amazon rainforest and is one of the Amazon River’s most significant tributaries.
  • C. Apaporis River
    The Apaporis River is a remote, biodiverse waterway in the Colombian Amazon known for its rich indigenous cultures and largely untouched rainforest surroundings.
  • D. Rondon River
    The Rondon River is a waterway in Brazil that lends its name to the state of Rondônia and is part of the Amazon Basin’s extensive river system.
  • E. Iapó River
    The Iapó River is a watercourse in the Brazilian state of Paraná known for flowing through scenic canyons and supporting nearby municipalities such as Castro.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0ae0e88190a6042effd93cd455 completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.