Triple

T21631950
Position Surface form Disambiguated ID Type / Status
Subject Dynamo metro station E533851 entity
Predicate architect P184 FINISHED
Object Y. Revkovsky 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: Y. Revkovsky | Statement: [Dynamo metro station, architect, Y. Revkovsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Y. Revkovsky
Context triple: [Dynamo metro station, architect, Y. Revkovsky]
  • A. Y. Revkovsky chosen
    Y. Revkovsky is an architect known for designing the Dynamo metro station.
  • B. Yury Revkovsky
    Yury Revkovsky is an architect known for designing the Teatralnaya metro station.
  • C. Yakov Zak
    Yakov Zak was a prominent Soviet pianist and pedagogue renowned for his refined interpretations of the classical and romantic repertoire.
  • D. Yakov Belopolsky
    Yakov Belopolsky was a Soviet architect known for designing major war memorials and monumental public works in the USSR.
  • E. Yakov Rechter
    Yakov Rechter was a prominent Israeli architect known for his modernist public buildings and cultural institutions, which helped shape the architectural landscape of Israel in the 20th century.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5217952c8190910c2103fb4a27d9 completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.