Triple

T6357743
Position Surface form Disambiguated ID Type / Status
Subject Baku Uyezd E143033 entity
Predicate predecessorAdministrativeSystem P9736 FINISHED
Object imperial Russian provincial system LITERAL 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: imperial Russian provincial system | Statement: [Baku Uyezd, predecessorAdministrativeSystem, imperial Russian provincial system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: predecessorAdministrativeSystem
Context triple: [Baku Uyezd, predecessorAdministrativeSystem, imperial Russian provincial system]
  • A. formerAdministeredBy
    Indicates that an entity was previously administered or managed by another entity, but is no longer under that administration.
  • B. predecessorInfrastructureOwner
    Indicates that one infrastructure owner previously held ownership or responsibility before another in a temporal succession.
  • C. previousAdministrator
    Indicates that one entity formerly held an administrative role or position over another entity before the current administrator.
  • D. successorAdministrativeName
    Indicates that one administrative entity’s name has been replaced by another name that now serves as its official administrative designation.
  • E. predecessorSystem chosen
    Indicates that one system existed or was in use before and was replaced or superseded by another system.
  • F. None of above.

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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f5bdd481909cf9db595ddb27df completed March 22, 2026, 10:06 p.m.
PD Predicate disambiguation batch_69c060ec091c8190912aac44e1b8b1c9 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:32 p.m.