Triple

T3180896
Position Surface form Disambiguated ID Type / Status
Subject North Caucasian Federal District E66581 entity
Predicate hasBorderSecurityImportance P45690 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: [North Caucasian Federal District, hasBorderSecurityImportance, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBorderSecurityImportance
Context triple: [North Caucasian Federal District, hasBorderSecurityImportance, yes]
  • A. hasBorderGuardingMandateWith
    Indicates that one entity has an official responsibility or mandate to guard, monitor, or secure a border in cooperation or association with another entity.
  • B. hasBorderFacilityType
    Indicates that a border facility possesses or is classified by a specific type or category of border-related infrastructure or service.
  • C. borderControls
    Indicates that one entity enforces or administers border control measures over another entity or at a specific boundary.
  • D. hasBorderMeetingCountry
    Indicates that one country shares a land or maritime border with another country.
  • E. hasBorderCrossingFunction
    Indicates that an entity serves as a location or facility where people, goods, or vehicles can legally cross a border between jurisdictions.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6a1280c8190b59a2afd30312c02 completed March 8, 2026, 4:41 p.m.
PD Predicate disambiguation batch_69ad9e02677c8190a21d93b1259b2761 completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada0f7c21c819087e9992f5fe30a37 completed March 8, 2026, 4:16 p.m.
Created at: March 8, 2026, 3:06 p.m.