Triple

T2042629
Position Surface form Disambiguated ID Type / Status
Subject Syr Darya E44777 entity
Predicate languageName_Russian P20560 FINISHED
Object Сырдарья E44777 NE FINISHED

How this triple was built (3 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: Сырдарья | Statement: [Syr Darya, languageName_Russian, Сырдарья]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Сырдарья
Context triple: [Syr Darya, languageName_Russian, Сырдарья]
  • 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. 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. Kazan River
    The Kazan River is a major river in the Republic of Tatarstan, Russia, flowing through the city of Kazan before emptying into the Volga River.
  • D. Irtysh River
    The Irtysh River is a major river in Central Asia and Western Siberia that flows through China, Kazakhstan, and Russia before joining the Ob River.
  • E. Zeravshan River
    The Zeravshan River is a major Central Asian waterway flowing through Tajikistan and Uzbekistan, historically vital for irrigation and the development of cities along the Silk Road.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: languageName_Russian
Context triple: [Syr Darya, languageName_Russian, Сырдарья]
  • A. nameInRussian chosen
    Indicates that an entity is known or referred to by a specific name when expressed in the Russian language.
  • B. languageName
    Indicates the specific name assigned to a language in the relationship.
  • C. languageOfWorkOrName
    Indicates the language in which a work is created or a name is expressed.
  • D. languageNameInTurkish
    Indicates that the predicate specifies the name of a given language as it is written or spoken in Turkish.
  • E. titleInRussian
    Indicates that an entity’s title is given or recorded in the Russian language.
  • F. None of above.

Provenance (4 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_69abbc2c3f6c8190aff07097b2654e52 completed March 7, 2026, 5:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95efea5c8190a8a63e36cf3247e7 completed March 9, 2026, 9:42 a.m.
PD Predicate disambiguation batch_69abb7aa00d4819086d347d9a08f81a0 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:39 p.m.