Triple

T21273226
Position Surface form Disambiguated ID Type / Status
Subject Circassia E524320 entity
Predicate majorCityHistorical P17588 FINISHED
Object Nalchik 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: Nalchik | Statement: [Circassia, majorCityHistorical, Nalchik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nalchik
Context triple: [Circassia, majorCityHistorical, Nalchik]
  • A. Nalchik chosen
    Nalchik is the capital city of Russia’s Kabardino-Balkaria Republic in the North Caucasus, known for its diverse ethnic communities and role as a regional cultural and administrative center.
  • B. Zlatoust
    Zlatoust is an industrial city in Russia’s Chelyabinsk Oblast, located in the Ural Mountains and known historically for its metalworking and weapon production.
  • C. Akhtubinsk
    Akhtubinsk is a town in southern Russia known for its location on the Volga River and its role as a regional transport and economic center.
  • D. Barnaul
    Barnaul is a significant industrial and cultural city in southwestern Siberia, Russia, located near the Ob River and serving as a key regional center.
  • E. Volokolamsk
    Volokolamsk is a historic town in western Russia, located northwest of Moscow and known for its medieval origins and role in regional trade and defense.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73655717c819092f71ed1920f52b5 completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:01 p.m.