Triple

T687398
Position Surface form Disambiguated ID Type / Status
Subject Moscow Oblast E13313 entity
Predicate majorRiver P165 FINISHED
Object Oka River E56140 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: Oka River | Statement: [Moscow Oblast, majorRiver, Oka River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oka River
Context triple: [Moscow Oblast, majorRiver, Oka River]
  • A. Oka River chosen
    The Oka River is a major river in central Russia that flows through cities like Oryol, Kaluga, and Nizhny Novgorod before joining the Volga.
  • B. Yana River
    The Yana River is a major river in northeastern Siberia, Russia, that flows northward into the Laptev Sea of the Arctic Ocean.
  • C. Setun River
    The Setun River is a small river in western Moscow, Russia, known as one of the city's few relatively natural waterways and a tributary of the Moskva River.
  • D. Kiso River
    The Kiso River is a major river in central Japan known for flowing through the Kiso Valley and contributing to the Nōbi Plain’s fertile landscape.
  • E. Olyokma River
    The Olyokma River is a major river in eastern Siberia, Russia, known for its remote, sparsely populated basin and its role in draining the mountainous regions before joining the Lena 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0953fb481909e1d4177ee191351 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5372f6b481909ef061889f91f6be completed March 7, 2026, 4:33 p.m.
Created at: March 1, 2026, 7:36 p.m.