Triple

T12931491
Position Surface form Disambiguated ID Type / Status
Subject Italian forces in Siberia E309392 entity
Predicate operationalArea P794 FINISHED
Object Irkutsk region E101558 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: Irkutsk region | Statement: [Italian forces in Siberia, operationalArea, Irkutsk region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irkutsk region
Context triple: [Italian forces in Siberia, operationalArea, Irkutsk region]
  • A. Irkutsk Oblast chosen
    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. 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.
  • C. 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.
  • D. Omsk Oblast
    Omsk Oblast is a federal subject of southwestern Siberia in Russia, centered on the city of Omsk and known for its industrial base and agricultural production.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc53060819090a126f15428e411 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6f404888190b7bb47bff1a7c1e1 completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 5:42 p.m.