Triple

T17983454
Position Surface form Disambiguated ID Type / Status
Subject Onon River E430163 entity
Predicate region P40 FINISHED
Object Siberia 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: Siberia | Statement: [Onon River, region, Siberia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siberia
Context triple: [Onon River, region, Siberia]
  • A. Siberia chosen
    Siberia is a vast, sparsely populated region in northern Asia known for its harsh climate, rich natural resources, and historical role as a place of exile and major battleground during the Russian Civil War.
  • B. Yakutia
    Yakutia, also known as the Sakha Republic, is a vast, sparsely populated region in northeastern Siberia renowned for its extreme cold, rich mineral resources, and expansive taiga and tundra landscapes.
  • C. Northern Siberia
    Northern Siberia is a vast, sparsely populated Arctic and subarctic region of Russia characterized by tundra landscapes, permafrost, and significant natural gas and oil reserves.
  • D. Sibir
    Sibir is a professional ice hockey team based in Novosibirsk, Russia, competing in the Kontinental Hockey League (KHL).
  • E. Sibir
    Sibir is a renowned Yiddish poetry collection by Avrom Sutzkever that reflects on his experiences of exile and the Siberian landscape.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b2992fe481908c0d2757b4de5bad completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.