Triple

T16668591
Position Surface form Disambiguated ID Type / Status
Subject Воробьёвы горы E405046 entity
Predicate hasViewOn P4722 FINISHED
Object Москва-река — NE ONNED1

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: Москва-река | Statement: [Воробьёвы горы, hasViewOn, Москва-река]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Москва-река
Context triple: [Воробьёвы горы, hasViewOn, Москва-река]
  • A. 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.
  • B. 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.
  • C. Severnaya Nevka River
    The Severnaya Nevka River is a distributary of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate network of waterways and encircling several of its islands.
  • D. Bolshaya Nevka
    Bolshaya Nevka is a major distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
  • E. Bolshaya Neva
    Bolshaya Neva is the main, wider branch of the Neva River flowing through central Saint Petersburg, Russia, and hosting several of the city’s major bridges and embankments.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9e9a208190afab499897ce4361 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01953eaa6c819091f7d63a1e3e7070 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:18 a.m.