Triple

T2042608
Position Surface form Disambiguated ID Type / Status
Subject Syr Darya E44777 entity
Predicate flowsThroughRegion P285 FINISHED
Object Kyzylorda Region E204236 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: Kyzylorda Region | Statement: [Syr Darya, flowsThroughRegion, Kyzylorda Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyzylorda Region
Context triple: [Syr Darya, flowsThroughRegion, Kyzylorda Region]
  • A. Kyzylorda Region chosen
    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.
  • B. Issyk-Kul Region
    Issyk-Kul Region is an eastern province of Kyrgyzstan famed for its high-altitude Issyk-Kul Lake and its location amid the Tien Shan mountain range.
  • C. Geokchay Uyezd
    Geokchay Uyezd was an administrative district of the Russian Empire and early Soviet period located in the central part of present-day Azerbaijan.
  • D. 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.
  • E. Pavlodar
    Pavlodar is a major industrial and cultural city in northeastern Kazakhstan, located on the Irtysh River.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb95587348190bb5719faeaf0aa5d completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae271399a08190946b315f439b9b2f completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:39 p.m.