Triple

T19304317
Position Surface form Disambiguated ID Type / Status
Subject Ergune River E482782 entity
Predicate flowsThrough P225 FINISHED
Object Zabaykalsky Krai 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: Zabaykalsky Krai | Statement: [Ergune River, flowsThrough, Zabaykalsky Krai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zabaykalsky Krai
Context triple: [Ergune River, flowsThrough, Zabaykalsky Krai]
  • A. Zabaykalsky Krai chosen
    Zabaykalsky Krai is a federal subject of Russia located in southeastern Siberia, bordering Mongolia and China and known for its vast, sparsely populated territory and rich mineral resources.
  • B. Khabarovsk Krai
    Khabarovsk Krai is a large federal subject in Russia’s Far East, known for its vast wilderness, diverse landscapes, and significant natural resources.
  • C. Irkutsk Oblast
    Irkutsk Oblast is a large federal subject of Russia in southeastern Siberia, known for its vast taiga landscapes, significant rivers, and proximity to Lake Baikal.
  • D. Altai Krai
    Altai Krai is a federal subject of southwestern Siberia in Russia, known for its agricultural production and diverse landscapes ranging from steppe to mountains.
  • E. Amur Oblast
    Amur Oblast is a federal subject of Russia located in the southeastern part of Siberia along the Amur River, bordering China and known for its resource-based economy and strategic position in the Russian Far East.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604c744908190975c71a28acc96cc completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:31 p.m.