Triple

T19566868
Position Surface form Disambiguated ID Type / Status
Subject Mato Grosso E489604 entity
Predicate hasRiver P165 FINISHED
Object Cuiabá 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: Cuiabá River | Statement: [Mato Grosso, hasRiver, Cuiabá River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuiabá River
Context triple: [Mato Grosso, hasRiver, Cuiabá River]
  • A. Cuiabá River chosen
    The Cuiabá River is a major waterway in central-western Brazil that flows through the Pantanal wetlands before joining the Paraguay River.
  • B. Neto River
    The Neto River is a watercourse in the Calabria region of southern Italy that flows into the Ionian Sea near the city of Crotone.
  • C. Canindé River
    The Canindé River is a significant watercourse in northeastern Brazil that flows through the state of Piauí, contributing to its regional hydrology and ecosystems.
  • D. Marmora River
    The Marmora River is a waterway in Ontario, Canada, that flows through the Marmora area before joining the Trent River within the Trent-Severn watershed.
  • E. Sabor River
    The Sabor River is a significant river in northeastern Portugal that flows through the Trás-os-Montes region before joining the Douro.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f784ff88190a515c78429de3caf completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.