Triple

T1241401
Position Surface form Disambiguated ID Type / Status
Subject Beni E26664 entity
Predicate hasRiver P165 FINISHED
Object Beni River E160299 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: Beni River | Statement: [Beni, hasRiver, Beni River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beni River
Context triple: [Beni, hasRiver, Beni River]
  • A. Beni River chosen
    The Beni River is a major waterway in northern Bolivia that flows through the Amazon Basin, supporting rich biodiversity and local communities along its course.
  • B. Bira River
    The Bira River is a river in Russia's Far East that flows through the Jewish Autonomous Oblast before joining the larger Amur River system.
  • C. Mula River
    The Mula River is a major river in the Indian state of Maharashtra that flows through the city of Pune and forms part of its urban river system.
  • D. Gongola River
    The Gongola River is a major river in northeastern Nigeria that flows through the savanna region before joining the Benue River.
  • E. Ruza River
    The Ruza River is a waterway in western Russia that serves as one of the tributaries feeding into the Moskva River.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf44ac3c8190a28a333b320305fd completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad58a6e0088190b35258a6accb0440 completed March 8, 2026, 11:08 a.m.
Created at: March 1, 2026, 7:47 p.m.