Triple

T19834593
Position Surface form Disambiguated ID Type / Status
Subject Kabarda E476554 entity
Predicate historicalCapital P2536 FINISHED
Object Baksan region 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: Baksan region | Statement: [Kabarda, historicalCapital, Baksan region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baksan region
Context triple: [Kabarda, historicalCapital, Baksan region]
  • A. Shatsk Lake District
    Shatsk Lake District is a scenic lake-rich region in northwestern Ukraine known for its protected natural landscapes and popular recreational areas.
  • B. Bureya mountain region
    The Bureya mountain region is a remote, rugged mountain area in the Russian Far East known for its taiga landscapes, river valleys, and sparse human settlement.
  • C. Ust-Nera region
    Ust-Nera region is a remote, sparsely populated area in northeastern Siberia, Russia, known for its extremely cold climate and mining activities.
  • D. Baksan chosen
    Baksan is a town in the Kabardino-Balkaria Republic of Russia, located in the North Caucasus region.
  • E. Tsova-Tush
    The Tsova-Tush, also known as the Bats people, are a small Nakh-speaking ethnic group traditionally inhabiting the mountainous Batsara (Tsova) region of northeastern Georgia.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656d0e738819093000d3307962328 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.