Triple

T4637099
Position Surface form Disambiguated ID Type / Status
Subject Irkutsk Oblast E101558 entity
Predicate borderedBy P224 FINISHED
Object Kemerovo Oblast E210464 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: Kemerovo Oblast | Statement: [Irkutsk Oblast, borderedBy, Kemerovo Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kemerovo Oblast
Context triple: [Irkutsk Oblast, borderedBy, Kemerovo Oblast]
  • A. Novosibirsk Oblast
    Novosibirsk Oblast is a federal subject of Russia in southwestern Siberia, centered on the major city of Novosibirsk and known as an important industrial, scientific, and transportation hub.
  • B. Chelyabinsk Oblast
    Chelyabinsk Oblast is a federal subject of Russia located on the eastern slopes of the Ural Mountains, serving as a major industrial and mining region that bridges Europe and Asia.
  • C. Kemerovo chosen
    Kemerovo is an industrial city in southwestern Siberia, Russia, known as a center of the Kuzbass coal mining region.
  • D. 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.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a62a9e48190b0cf1cbcc51f00c0 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89c2485881908797f4a3560a0b04 completed March 21, 2026, 12:06 p.m.
Created at: March 20, 2026, 1:13 p.m.