Triple

T3481147
Position Surface form Disambiguated ID Type / Status
Subject Enets E73491 entity
Predicate socioeconomicChange P4312 FINISHED
Object sedentarization policies during Soviet period 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: sedentarization policies during Soviet period | Statement: [Enets, socioeconomicChange, sedentarization policies during Soviet period]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: socioeconomicChange
Context triple: [Enets, socioeconomicChange, sedentarization policies during Soviet period]
  • A. economicTransition
    Indicates a change in an entity’s economic system, structure, or status from one state or model to another.
  • B. demographicImpact
    Indicates how an action, event, or condition affects the size, structure, or composition of a population.
  • C. economicStatus
    Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
  • D. urbanDevelopment
    Indicates the process or activities through which urban areas are planned, expanded, or transformed, including changes to infrastructure, land use, and the built environment.
  • E. socialImpact chosen
    Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb75850c8190ad02cf2bde8be8a7 completed March 8, 2026, 6:09 p.m.
PD Predicate disambiguation batch_69adae0935ac8190bfa8a8bd3dcd3301 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:17 p.m.