Triple

T19806916
Position Surface form Disambiguated ID Type / Status
Subject Kirov Oblast E475836 entity
Predicate borderedBy P224 FINISHED
Object Tatarstan 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: Tatarstan | Statement: [Kirov Oblast, borderedBy, Tatarstan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tatarstan
Context triple: [Kirov Oblast, borderedBy, Tatarstan]
  • A. Tatarstan chosen
    Tatarstan is a federal republic of Russia located in the Volga-Ural region, known for its rich Tatar culture, significant oil resources, and capital city Kazan.
  • B. Kabardino-Balkaria
    Kabardino-Balkaria is a federal republic of Russia located in the North Caucasus, known for its ethnically diverse population and the presence of part of the Caucasus Mountains, including Mount Elbrus.
  • C. Chuvash Republic
    The Chuvash Republic is a federal subject of Russia in the Volga region, known for its Chuvash Turkic ethnic heritage, distinct language, and mixed industrial-agricultural economy.
  • D. Ural Oblast
    Ural Oblast was a former administrative division of the Russian SFSR in the Soviet Union that encompassed a large portion of the Ural region.
  • E. North Ossetia
    North Ossetia is a republic in the North Caucasus region of Russia, known for its mountainous terrain, diverse ethnic composition, and strategic location along historic trade and migration routes.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65428f5c48190be6ae0d6a77675d2 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.