Triple

T21984826
Position Surface form Disambiguated ID Type / Status
Subject Katun Nature Reserve E542930 entity
Predicate nearestCity P350 FINISHED
Object Gorno-Altaysk 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: Gorno-Altaysk | Statement: [Katun Nature Reserve, nearestCity, Gorno-Altaysk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorno-Altaysk
Context triple: [Katun Nature Reserve, nearestCity, Gorno-Altaysk]
  • A. Gorno-Altaysk chosen
    Gorno-Altaysk is the small capital city of Russia’s Altai Republic, serving as a gateway to the mountainous Altai region and nearby natural and cultural heritage sites.
  • B. Altai City
    Altai City is a small administrative and commercial center in western Mongolia, serving as a gateway to the surrounding Altai Mountains and remote steppe regions.
  • C. Ust-Kamenogorsk
    Ust-Kamenogorsk is an industrial city in northeastern Kazakhstan, known as a major center for metallurgy and winter sports.
  • D. Tobolsk
    Tobolsk is a historic Siberian town in Russia known for its Kremlin and as a place of exile and imprisonment during the late imperial period.
  • E. Sayanogorsk
    Sayanogorsk is a town in the Republic of Khakassia, Russia, known as an industrial center in southern Siberia and a hub for aluminum production.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12708cdcc81909511d9f81bd8f20e completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:04 p.m.