Triple

T390850
Position Surface form Disambiguated ID Type / Status
Subject Russian SFSR E8875 entity
Predicate areaShareOfUSSR P12899 FINISHED
Object over 70 percent 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: over 70 percent | Statement: [Russian SFSR, areaShareOfUSSR, over 70 percent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areaShareOfUSSR
Context triple: [Russian SFSR, areaShareOfUSSR, over 70 percent]
  • A. areaOfMemberStatesApprox
    Indicates the approximate total geographic area collectively covered by the member states of a given organization or grouping.
  • B. partOfUnderRussianAdministration
    Indicates that one entity is a territorial or administrative subdivision that is currently governed or controlled by Russian authorities.
  • C. landArea
    Indicates the total surface area of a piece of land associated with an entity, typically measured in standardized units (e.g., square meters, hectares).
  • D. establishedAsSocialistState
    Indicates that an entity formally created or declared another entity to be a socialist state as its system of governance.
  • E. countryOccupied
    Indicates that one country has taken control of and is occupying the territory of another country, typically through military or coercive means.
  • F. None of above. chosen

Provenance (4 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec5d73e881909101308a583c8f13 completed Feb. 28, 2026, 1:23 p.m.
PD Predicate disambiguation batch_69a2e96960608190bdd342da9c5ddb5e completed Feb. 28, 2026, 1:11 p.m.
PDg Predicate description generation batch_69a2ebac09408190be802b96bb203d5f completed Feb. 28, 2026, 1:20 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.