Triple

T14575915
Position Surface form Disambiguated ID Type / Status
Subject Ugra River E342049 entity
Predicate mouthRiver P4359 FINISHED
Object Oka 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: Oka River | Statement: [Ugra River, mouthRiver, Oka River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oka River
Context triple: [Ugra River, mouthRiver, Oka River]
  • A. Oka River
    The Oka River is a short river in the Basque Country of northern Spain that flows through the Urdaibai Biosphere Reserve before reaching the Bay of Biscay.
  • B. 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.
  • C. Kitoy River
    The Kitoy River is a Siberian river in Russia that flows through the Irkutsk Oblast and the Republic of Buryatia before joining the Angara River.
  • D. Karura River
    Karura River is a watercourse flowing through Nairobi’s Karura Forest, contributing to the forest’s rich biodiversity and scenic natural environment.
  • E. Chuya River
    The Chuya River is a major mountain river in Russia’s Altai Republic, known for its scenic valley, challenging whitewater rapids, and role as a key tributary in the Altai river system.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f49d58819094fcd2a702e146cb completed April 14, 2026, 9:39 p.m.
Created at: April 10, 2026, 1:24 a.m.