Triple

T15547455
Position Surface form Disambiguated ID Type / Status
Subject Atibaia E370647 entity
Predicate locatedOn P40 FINISHED
Object Atibaia River E1020323 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: Atibaia River | Statement: [Atibaia, locatedOn, Atibaia River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atibaia River
Context triple: [Atibaia, locatedOn, Atibaia River]
  • A. Atibaia River chosen
    The Atibaia River is a watercourse in the state of São Paulo, Brazil, that flows through several municipalities and contributes to the region’s water supply and local ecosystems.
  • B. Canoas River
    The Canoas River is a significant waterway in southern Brazil that joins with the Pelotas River to form the Uruguay River, an important river of the Southern Cone.
  • C. Carrao River
    The Carrao River is a river in southeastern Venezuela that flows through Canaima National Park and is known for feeding Angel Falls, the world’s tallest uninterrupted waterfall.
  • D. Jundiaí River
    The Jundiaí River is a watercourse in the state of São Paulo, Brazil, that flows through the municipality of Jundiaí and serves as an important regional tributary and water resource.
  • E. Itanhaém River
    The Itanhaém River is a waterway in the state of São Paulo, Brazil, that flows through the municipality of Itanhaém before reaching the Atlantic Ocean.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9073948190b6e9cf504aacc7cf completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56bdbca08190b5eb541c5eb4bb09 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:08 a.m.