Triple

T9070054
Position Surface form Disambiguated ID Type / Status
Subject island of Antônio Vaz E217341 entity
Predicate waterBody P1778 FINISHED
Object Beberibe River E203518 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: Beberibe River | Statement: [island of Antônio Vaz, waterBody, Beberibe River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beberibe River
Context triple: [island of Antônio Vaz, waterBody, Beberibe River]
  • A. Beberibe River chosen
    The Beberibe River is a waterway in northeastern Brazil that flows through the city of Recife, contributing to its estuarine landscape and urban geography.
  • B. Guapimirim River
    The Guapimirim River is a Brazilian river in the state of Rio de Janeiro that flows through the Guapimirim Environmental Protection Area before emptying into Guanabara Bay.
  • C. Sombreiro River
    The Sombreiro River is a significant waterway in southern Nigeria that flows through the Niger Delta region, supporting local transportation, fishing, and agriculture.
  • D. Bacajá River
    The Bacajá River is a tributary waterway in northern Brazil that feeds into the Xingu River within the Amazon Basin.
  • E. Guaratuba River
    The Guaratuba River is a coastal waterway in the municipality of Bertioga in São Paulo state, Brazil, known for its mangrove-lined banks and ecological importance.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc955d29548190a204efd3257b6d5d completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0774f0d7c8190b071e5b161622355 completed April 4, 2026, 2:28 a.m.
Created at: March 30, 2026, 7:11 p.m.