Triple

T2279744
Position Surface form Disambiguated ID Type / Status
Subject Ural River E51253 entity
Predicate flowsThrough P225 FINISHED
Object Chelyabinsk Oblast E419900 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: Chelyabinsk Oblast | Statement: [Ural River, flowsThrough, Chelyabinsk Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelyabinsk Oblast
Context triple: [Ural River, flowsThrough, Chelyabinsk Oblast]
  • A. Chelyabinsk Oblast chosen
    Chelyabinsk Oblast is a federal subject of Russia located on the eastern slopes of the Ural Mountains, serving as a major industrial and mining region that bridges Europe and Asia.
  • B. Novosibirsk Oblast
    Novosibirsk Oblast is a federal subject of Russia in southwestern Siberia, centered on the major city of Novosibirsk and known as an important industrial, scientific, and transportation hub.
  • C. Kaluga Oblast
    Kaluga Oblast is a federal subject of western Russia known for its historical cities, space industry heritage, and location southwest of Moscow.
  • D. Lipetsk Oblast
    Lipetsk Oblast is a federal subject of western Russia known for its industrial centers, agricultural production, and administrative capital, the city of Lipetsk.
  • E. Sverdlovsk Oblast
    Sverdlovsk Oblast is a large industrial and mining region in Russia’s Ural Mountains, with Yekaterinburg as its administrative center and a significant role in the country’s metallurgy and engineering sectors.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc2194150819083156e4dcd45a423 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69be4d59f188819093e3a6c7037593cf completed March 21, 2026, 7:48 a.m.
Created at: March 4, 2026, 7:48 p.m.