Triple

T10615449
Position Surface form Disambiguated ID Type / Status
Subject Akmolinsk E276106 entity
Predicate locatedInRegion 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: [Akmolinsk, locatedInRegion, Akmola Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akmola Region
Context triple: [Akmolinsk, locatedInRegion, 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df6d76dc8190bd8d481fed3225d9 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b7bb7108190b0f1cbe4117abec0 completed April 10, 2026, 9:28 p.m.
Created at: April 8, 2026, 7:33 p.m.