Triple

T17948495
Position Surface form Disambiguated ID Type / Status
Subject Фрунзенская набережная E448766 entity
Predicate followsWatercourse P3624 FINISHED
Object река Москва — 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: река Москва | Statement: [Фрунзенская набережная, followsWatercourse, река Москва]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: река Москва
Context triple: [Фрунзенская набережная, followsWatercourse, река Москва]
  • A. Msta River
    The Msta River is a waterway in northwestern Russia that flows from the Valdai Hills through the Novgorod and Tver regions before joining the Volkhov River basin.
  • B. Moskva River chosen
    The Moskva River is a major waterway in western Russia that flows through and gives its name to the capital city, Moscow.
  • 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. Bobr River
    The Bobr River is a tributary watercourse in Belarus that flows through the central part of the country before joining the Berezina River.
  • E. Velikaya River
    The Velikaya River is a major waterway in northwestern Russia that flows through Pskov Oblast into Lake Peipus, historically serving as an important trade and strategic route.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afaac780819097434b20b1f155d2 completed April 19, 2026, 10:34 a.m.
Created at: April 10, 2026, 10:21 a.m.