Triple

T22706029
Position Surface form Disambiguated ID Type / Status
Subject Alto Paraguay Department E561454 entity
Predicate hasRiver P165 FINISHED
Object Apa 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: Apa River | Statement: [Alto Paraguay Department, hasRiver, Apa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apa River
Context triple: [Alto Paraguay Department, hasRiver, Apa River]
  • A. Apa River chosen
    The Apa River is a South American waterway that forms part of the border between Brazil and Paraguay before joining the Paraguay River.
  • B. Okavango River
    The Okavango River is a major river in southwest Africa that famously fans out into the vast Okavango Delta, one of the world’s largest inland wetlands and a critical wildlife habitat.
  • C. Vaga River
    The Vaga River is a major river in northwestern Russia that flows through the Arkhangelsk Oblast and plays an important role in the region’s drainage system and local transport.
  • D. Songo River
    The Songo River is a waterway in southwestern Maine that connects Long Lake to Sebago Lake and is known for its scenic, recreational boating route.
  • E. Kwanza River
    The Kwanza River is one of Angola’s longest and most important rivers, historically vital for transport, agriculture, and hydroelectric power in the country.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178ceba6c8190a538366a8e4648de completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:17 p.m.