Triple

T11795648
Position Surface form Disambiguated ID Type / Status
Subject Rondônia E280499 entity
Predicate hasRiver P165 FINISHED
Object Jamari 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: Jamari River | Statement: [Rondônia, hasRiver, Jamari River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamari River
Context triple: [Rondônia, hasRiver, Jamari River]
  • A. Jamari River chosen
    The Jamari River is a significant waterway in western Brazil that flows through the state of Rondônia and contributes to the Amazon Basin via the Madeira River.
  • B. Jalangi River
    The Jalangi River is a significant distributary of the Ganges in the Indian state of West Bengal, known for its role in regional irrigation, ecology, and local transportation.
  • C. Canje River
    The Canje River is a significant waterway in Guyana known for its role in regional agriculture, transportation, and settlement along the country’s coastal plain.
  • D. Mahury River
    The Mahury River is a major waterway in French Guiana that flows into the Atlantic Ocean near the capital city of Cayenne.
  • E. Belina River
    The Belina River is a small watercourse in southern Slovakia that flows through the town of Fiľakovo.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a1cda0819092d66a82fd882786 completed April 10, 2026, 7:24 a.m.
Created at: April 8, 2026, 9:42 p.m.