Triple

T1995564
Position Surface form Disambiguated ID Type / Status
Subject Douro River E43349 entity
Predicate majorTributary P415 FINISHED
Object Paiva River E352468 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: Paiva River | Statement: [Douro River, majorTributary, Paiva River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paiva River
Context triple: [Douro River, majorTributary, Paiva River]
  • A. 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.
  • B. Sabor River chosen
    The Sabor River is a significant river in northeastern Portugal that flows through the Trás-os-Montes region before joining the Douro.
  • C. Laja River
    The Laja River is a significant river in south-central Chile known for its hydroelectric power generation and scenic waterfalls, including the Salto del Laja.
  • D. Taquari River
    The Taquari River is a significant waterway in central-western Brazil that flows through the Pantanal wetlands before joining the Paraguay River.
  • E. Piraí River
    The Piraí River is a significant river in eastern Bolivia that flows near and helps define the landscape of the city of Santa Cruz de la Sierra.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb86537748190a2b5e3fd44ac6430 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69b34ba4db388190baa1108563783227 completed March 12, 2026, 11:26 p.m.
Created at: March 4, 2026, 7:37 p.m.