Triple

T22900346
Position Surface form Disambiguated ID Type / Status
Subject Cheget ski area E568293 entity
Predicate locatedIn P40 FINISHED
Object Baksan Valley 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 Valley | Statement: [Cheget ski area, locatedIn, Baksan Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baksan Valley
Context triple: [Cheget ski area, locatedIn, Baksan Valley]
  • A. Baksan
    Baksan is a town in the Kabardino-Balkaria Republic of Russia, located in the North Caucasus region.
  • B. Baksan Gorge chosen
    Baksan Gorge is a deep mountain valley in Russia’s North Caucasus, known for its dramatic landscapes and as a gateway to the Mount Elbrus region.
  • C. Izborsk-Malskaya Valley
    Izborsk-Malskaya Valley is a picturesque historic landscape in western Russia known for its rolling hills, lakes, and cultural heritage sites surrounding the ancient town of Izborsk.
  • D. Samokov Valley
    Samokov Valley is a historical region in western Bulgaria known for its mountainous landscape and long tradition of mining and metalworking.
  • E. Tundzha Valley
    Tundzha Valley is a river valley in southeastern Europe shaped by the Tundzha River, known for its fertile plains and agricultural landscapes in Bulgaria and neighboring regions.
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1801626488190b7e8ce3301667987 completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.