Triple

T19677269
Position Surface form Disambiguated ID Type / Status
Subject Jalal-Abad Region E472486 entity
Predicate hasRiver P165 FINISHED
Object Kara Darya NE NERFINISHED

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: Kara Darya | Statement: [Jalal-Abad Region, hasRiver, Kara Darya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kara Darya
Context triple: [Jalal-Abad Region, hasRiver, Kara Darya]
  • A. Kara Darya chosen
    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.
  • B. Amu Darya
    The Amu Darya is one of Central Asia’s largest and most historically significant rivers, flowing from the Pamir and Hindu Kush mountains toward the Aral Sea.
  • C. 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.
  • D. Syr Darya
    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.
  • 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 (2 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bceef881909c5b655af709c8c6 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.