Triple

T2779693
Position Surface form Disambiguated ID Type / Status
Subject Zhukovsky E61661 entity
Predicate locatedOn P40 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: [Zhukovsky, locatedOn, Moscow River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moscow River
Context triple: [Zhukovsky, locatedOn, 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. Muskoka River
    The Muskoka River is a major waterway in Ontario, Canada, flowing through the Muskoka region’s lakes and towns before emptying into Georgian Bay.
  • D. Tanana River
    The Tanana River is a major tributary of the Yukon River in central Alaska, known for flowing past the city of Fairbanks and playing a key role in the region’s ecology and transportation.
  • E. Yauza River
    The Yauza River is a small river in Moscow, Russia, that flows through the city’s northeastern districts before joining the Moskva River.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd97e9988190a9065a70b878a675 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b23582f3508190a9eb50e11a08d0f5 completed March 12, 2026, 3:39 a.m.
Created at: March 6, 2026, 9:57 p.m.