Triple

T17278144
Position Surface form Disambiguated ID Type / Status
Subject Estonia–Russia border E419443 entity
Predicate hasBorderFence P14204 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: [Estonia–Russia border, hasBorderFence, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBorderFence
Context triple: [Estonia–Russia border, hasBorderFence, yes]
  • A. hasBorderWallOrFence chosen
    Indicates that a physical barrier such as a wall or fence exists along the border between two entities.
  • B. hasBorderWithinCountry
    Indicates that one region or area shares an internal boundary with another region or area within the same country.
  • C. hasBorderFacilityType
    Indicates that a border facility possesses or is classified by a specific type or category of border-related infrastructure or service.
  • D. hasBorderMeetingCountry
    Indicates that one country shares a land or maritime border with another country.
  • E. hasSouthBorder
    Indicates that one entity shares its southern boundary or border with another entity.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43327b048819095fbd93b2105533a completed April 19, 2026, 1:43 a.m.
PD Predicate disambiguation batch_69e3832c3b98819091967ac7e91ba316 completed April 18, 2026, 1:12 p.m.
Created at: April 10, 2026, 5:40 a.m.