Triple

T9461510
Position Surface form Disambiguated ID Type / Status
Subject Sirdaryo E228155 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Sirdaryō E44777 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: Sirdaryō | Statement: [Sirdaryo, hasAlternativeTransliteration, Sirdaryō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirdaryō
Context triple: [Sirdaryo, hasAlternativeTransliteration, Sirdaryō]
  • A. Syr Darya chosen
    Syr Darya is a major river in Central Asia that flows through countries such as Kyrgyzstan, Uzbekistan, and Kazakhstan before emptying into the remnants of the Aral Sea.
  • B. Kara Darya
    Kara Darya is a major river in Central Asia that flows through Kyrgyzstan and Uzbekistan, helping to form the Syr Darya and irrigate the fertile Ferghana Valley.
  • C. Aksu River
    The Aksu River is a major river in northwestern China and Kyrgyzstan that forms the principal headwater of the Tarim River in the arid Tarim Basin.
  • D. Kashkadarya River
    The Kashkadarya River is a river in southern Uzbekistan that flows through the city of Karshi and irrigates the surrounding arid agricultural region.
  • E. Khash River
    The Khash River is a tributary watercourse in southwestern Afghanistan that feeds into the larger Helmand River system.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcc8b1881908aa6ee13ab195330 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d22840c4548190b1610e2c3cec6220 completed April 5, 2026, 9:15 a.m.
Created at: March 30, 2026, 7:52 p.m.