Triple

T16980058
Position Surface form Disambiguated ID Type / Status
Subject National Defence University of Kazakhstan E411919 entity
Predicate locatedIn P40 FINISHED
Object Akmola Region E866028 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: Akmola Region | Statement: [National Defence University of Kazakhstan, locatedIn, Akmola Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akmola Region
Context triple: [National Defence University of Kazakhstan, locatedIn, Akmola Region]
  • A. Akmola Region chosen
    Akmola Region is a central administrative region of Kazakhstan that includes the nation’s capital, Astana, and serves as an important political and economic hub.
  • B. Akmola
    Akmola is the former name of Kazakhstan’s capital city, now known as Astana.
  • C. Kostanay Region
    Kostanay Region is a large administrative region in northern Kazakhstan known for its agricultural production and proximity to the Russian border.
  • D. Kyzylorda Region
    Kyzylorda Region is an administrative region in southern Kazakhstan known for hosting the Baikonur Cosmodrome, the world’s first and largest operational space launch facility.
  • E. North Kazakhstan Region
    North Kazakhstan Region is an administrative region in northern Kazakhstan known for its agricultural economy, steppe landscapes, and proximity to the Russian border.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d1866bf48190a0ea15c377bf782c completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d477f7ec81909f1f0243004c9050 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:32 a.m.