Triple

T33487222
Position Surface form Disambiguated ID Type / Status
Subject European Union monitoring mission in Armenia E857643 entity
Predicate monitoringScope P123719 FINISHED
Object security incidents along the Armenia–Azerbaijan border 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: security incidents along the Armenia–Azerbaijan border | Statement: [European Union monitoring mission in Armenia, monitoringScope, security incidents along the Armenia–Azerbaijan border]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monitoringScope
Context triple: [European Union monitoring mission in Armenia, monitoringScope, security incidents along the Armenia–Azerbaijan border]
  • A. monitoringBody
    Indicates that one entity is responsible for overseeing, supervising, or tracking the activities, performance, or compliance of another entity.
  • B. monitoringTarget chosen
    Indicates that one entity is being observed, tracked, or supervised by another as the focus of monitoring activities.
  • C. monitoringRequirement
    Indicates that one entity is obligated to observe, track, or regularly check another entity or process according to specified criteria or conditions.
  • D. monitoringLevel
    Indicates the degree or intensity with which an entity is observed, tracked, or supervised over time.
  • E. monitoringFramework
    Indicates that one entity provides or defines a system or structure used to observe, measure, and track the performance or state of another entity or process.
  • 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_69f3497547608190a1a0f2365fb713ee completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e533a2b88190a9015009c6d69696 completed May 3, 2026, 6:03 a.m.
PD Predicate disambiguation batch_69f6e3da41948190a4cfe866ce184f73 completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:38 a.m.