Triple

T9551105
Position Surface form Disambiguated ID Type / Status
Subject Khamovniki District E230422 entity
Predicate locatedOnRiver P165 FINISHED
Object Moscow River E14309 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: Moscow River | Statement: [Khamovniki District, locatedOnRiver, Moscow River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow River
Context triple: [Khamovniki District, locatedOnRiver, Moscow River]
  • A. Setun River
    The Setun River is a small river in western Moscow, Russia, known as one of the city's few relatively natural waterways and a tributary of the Moskva River.
  • 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. Tartar River
    The Tartar River is a significant watercourse in the South Caucasus that flows through parts of Azerbaijan as an important tributary within the Kura–Aras river system.
  • D. Valerik River
    The Valerik River is a waterway in the North Caucasus region of Russia, historically noted as a site of 19th-century conflicts during the Caucasian War.
  • E. Venoge River
    The Venoge River is a watercourse in the canton of Vaud in western Switzerland that flows through the Gros-de-Vaud region before emptying into Lake Geneva.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991df7308190a56d95f195627513 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d597224481908154e5db47ae52f9 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:02 p.m.