Triple

T8623898
Position Surface form Disambiguated ID Type / Status
Subject Kyzylorda Region E204236 entity
Predicate borderedBy P224 FINISHED
Object Aktobe Region E53016 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: Aktobe Region | Statement: [Kyzylorda Region, borderedBy, Aktobe Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aktobe Region
Context triple: [Kyzylorda Region, borderedBy, Aktobe Region]
  • A. Pavlodar Region
    Pavlodar Region is an administrative region in northeastern Kazakhstan known for its industrial centers, agricultural production, and location along the Irtysh River.
  • B. 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.
  • C. 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.
  • D. Aktobe chosen
    Aktobe is a large industrial and cultural center in western Kazakhstan, known for its role in the country’s oil, gas, and mining sectors.
  • E. Altai Krai
    Altai Krai is a federal subject of southwestern Siberia in Russia, known for its agricultural production and diverse landscapes ranging from steppe to mountains.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4728360c8190b5e600596cbced0c completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef349d8408190bfd90a33a2d223bb completed April 2, 2026, 10:52 p.m.
Created at: March 30, 2026, 6:26 p.m.