Triple

T10318691
Position Surface form Disambiguated ID Type / Status
Subject Akmola E242084 entity
Predicate locatedIn P40 FINISHED
Object Akmola Region E242084 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: [Akmola, locatedIn, Akmola Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akmola Region
Context triple: [Akmola, locatedIn, Akmola Region]
  • A. Akmola chosen
    Akmola is the former name of Kazakhstan’s capital city, now known as Astana.
  • B. 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.
  • C. Almaty Region
    Almaty Region is a large administrative area in southeastern Kazakhstan known for its mountainous landscapes, including parts of the Tian Shan range, and its role as an economic and cultural hub bordering Kyrgyzstan and China.
  • D. Pavlodar Region
    Pavlodar Region is an administrative region in northeastern Kazakhstan known for its industrial centers, agricultural production, and location along the Irtysh River.
  • E. South Kazakhstan Region
    South Kazakhstan Region was a former administrative region in southern Kazakhstan known for its agricultural productivity and location along the Syr Darya River near the borders with Uzbekistan and Kyrgyzstan.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d35e019081909cc296d73227a3ed completed April 7, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d94aba48190aa40201d46f7ba2f completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:49 a.m.