Triple

T22514148
Position Surface form Disambiguated ID Type / Status
Subject Zima E556597 entity
Predicate vehicleRegistrationCodeRegion P3446 FINISHED
Object 38 (Irkutsk Oblast) 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: 38 (Irkutsk Oblast) | Statement: [Zima, vehicleRegistrationCodeRegion, 38 (Irkutsk Oblast)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 38 (Irkutsk Oblast)
Context triple: [Zima, vehicleRegistrationCodeRegion, 38 (Irkutsk Oblast)]
  • A. Irkutsk, Russia
    Irkutsk, Russia is a historic Siberian city near Lake Baikal known for its role as a cultural and educational center in eastern Russia.
  • B. Sverdlovsk-39 (Zarechny)
    Sverdlovsk-39 (now known as Zarechny) is a former Soviet closed city in Sverdlovsk Oblast, Russia, historically associated with secret military and nuclear-related activities.
  • C. Krasnoyarsk, Russia
    Krasnoyarsk is a major industrial and cultural city in central Siberia, Russia, situated on the Yenisei River and known as a key hub of the region.
  • D. Krasnoyarsk Krai, Russia
    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. Irkutsk chosen
    Irkutsk is a major city in southeastern Siberia, Russia, historically significant as a political and administrative center and a key hub during the Russian Civil War.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2c3098819098a553133cc9515b completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.