Triple

T9644700
Position Surface form Disambiguated ID Type / Status
Subject Карымский E233164 entity
Predicate регулярностьАктивности P59518 FINISHED
Object практически постоянная активность в XX–XXI веках 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: практически постоянная активность в XX–XXI веках | Statement: [Карымский, регулярностьАктивности, практически постоянная активность в XX–XXI веках]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: регулярностьАктивности
Context triple: [Карымский, регулярностьАктивности, практически постоянная активность в XX–XXI веках]
  • A. hasRegularity chosen
    Indicates that one entity exhibits a consistent, recurring pattern or uniform behavior with respect to another entity or over time.
  • B. evidenceOfActivity
    Indicates that there is information or data supporting the occurrence or performance of a particular activity or action.
  • C. peakActivity
    Indicates that an entity is at its highest or most intense level of activity within a given period or context.
  • D. mannerOfActivity
    Indicates the way or style in which an activity is performed or carried out.
  • E. hasActivityRegulation
    Indicates that one entity exerts control over the level, timing, or manner of another entity’s activity.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b7fd2308190803a196ecdc80d76 completed April 1, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69ccd5b0263081908cf6df3eb07d71b0 completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:12 p.m.