Triple

T12833229
Position Surface form Disambiguated ID Type / Status
Subject Sayano–Shushenskaya Dam E306839 entity
Predicate region P40 FINISHED
Object Krasnoyarsk Krai E155967 NE FINISHED

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: Krasnoyarsk Krai | Statement: [Sayano–Shushenskaya Dam, region, Krasnoyarsk Krai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krasnoyarsk Krai
Context triple: [Sayano–Shushenskaya Dam, region, Krasnoyarsk Krai]
  • A. Irkutsk Oblast
    Irkutsk Oblast is a large federal subject of Russia in southeastern Siberia, known for its vast taiga landscapes, significant rivers, and proximity to Lake Baikal.
  • B. Tyumen Oblast
    Tyumen Oblast is a large federal subject in western Siberia, Russia, known for its vast oil and gas reserves and key role in the country’s energy industry.
  • C. Yakutsk region
    The Yakutsk region is a vast, sparsely populated area in northeastern Siberia, Russia, known for its extreme subarctic climate and rich natural resources.
  • D. Krasnoyarsk Krai, Russia chosen
    Krasnoyarsk Krai, Russia is a vast federal subject in central Siberia known for its harsh climate, rich natural resources, and extensive taiga and Arctic territories.
  • E. Tomsk Oblast
    Tomsk Oblast is a large administrative region in southwestern Siberia, Russia, known for its vast taiga forests, significant natural resources, and diverse indigenous populations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb0bb208190bdc4d3dc7909be06 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a82c2b9c819084ffd933e5b295b9 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 5:34 p.m.