Triple

T4298203
Position Surface form Disambiguated ID Type / Status
Subject Ural Cossack forces E99767 entity
Predicate borderGuardFunction P33937 FINISHED
Object yes 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: yes | Statement: [Ural Cossack forces, borderGuardFunction, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderGuardFunction
Context triple: [Ural Cossack forces, borderGuardFunction, yes]
  • A. borderControls
    Indicates that one entity enforces or administers border control measures over another entity or at a specific boundary.
  • B. borderStation
    Indicates a facility or checkpoint located at or near a border where cross-boundary movement, control, or processing of people or goods occurs.
  • C. borderControlSide
    Indicates that one entity is positioned on or associated with a particular side or segment of a border control area or checkpoint.
  • D. hasBorderGuardingMandateWith chosen
    Indicates that one entity has an official responsibility or mandate to guard, monitor, or secure a border in cooperation or association with another entity.
  • E. borderMonitored
    Indicates that a border between two regions or entities is actively being watched, controlled, or surveilled.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509bff808190a86fade7ccfc3611 completed March 12, 2026, 11:47 p.m.
PD Predicate disambiguation batch_69b347fe55a88190b77bab0c0f38e1aa completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:08 p.m.