Triple

T17295546
Position Surface form Disambiguated ID Type / Status
Subject Chelyabinsk Oblast E419900 entity
Predicate hasCity P316 FINISHED
Object Zlatoust 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: Zlatoust | Statement: [Chelyabinsk Oblast, hasCity, Zlatoust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zlatoust
Context triple: [Chelyabinsk Oblast, hasCity, Zlatoust]
  • A. Zlatoust chosen
    Zlatoust is an industrial city in Russia’s Chelyabinsk Oblast, located in the Ural Mountains and known historically for its metalworking and weapon production.
  • B. Nalchik
    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.
  • C. Alapayevsk
    Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
  • D. Kamensk-Uralsky
    Kamensk-Uralsky is an industrial city in Russia’s Ural region, known for its metallurgical plants and strategic location on the Iset River.
  • E. 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.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437875b208190bcf0df2ded546257 completed April 19, 2026, 2:01 a.m.
Created at: April 10, 2026, 5:40 a.m.