Triple

T21485831
Position Surface form Disambiguated ID Type / Status
Subject Ust-Orda Buryat Okrug E530113 entity
Predicate administrativeCenter P1474 FINISHED
Object Ust-Ordynsky 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: Ust-Ordynsky | Statement: [Ust-Orda Buryat Okrug, administrativeCenter, Ust-Ordynsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ust-Ordynsky
Context triple: [Ust-Orda Buryat Okrug, administrativeCenter, Ust-Ordynsky]
  • A. Ust-Ordynsky chosen
    Ust-Ordynsky is an urban-type settlement in Irkutsk Oblast, Russia, historically serving as the administrative center of the former Ust-Orda Buryat Autonomous Okrug.
  • B. Krasnoturyinsk
    Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
  • C. Makiyivka
    Makiyivka is a major industrial city in eastern Ukraine’s Donetsk region, historically known for its coal mining and heavy industry.
  • D. Yukhnov
    Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
  • E. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea370adc8190b79fe26e2eba1dca completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:21 p.m.