Triple

T9398519
Position Surface form Disambiguated ID Type / Status
Subject Tyumen Oblast E226406 entity
Predicate borderedBy P224 FINISHED
Object Tomsk Oblast E406019 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: Tomsk Oblast | Statement: [Tyumen Oblast, borderedBy, Tomsk Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomsk Oblast
Context triple: [Tyumen Oblast, borderedBy, Tomsk Oblast]
  • A. Tomsk Oblast chosen
    Tomsk Oblast is a large administrative region in southwestern Siberia, Russia, known for its vast taiga forests, significant natural resources, and diverse indigenous populations.
  • B. 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.
  • C. 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.
  • 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. 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.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51556fc08190b8ff8190a1485a3a completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d79445b9288190a684184285966fa8 completed April 9, 2026, 11:57 a.m.
Created at: March 30, 2026, 7:46 p.m.