Triple

T7867687
Position Surface form Disambiguated ID Type / Status
Subject United Nations Disengagement Observer Force E182657 entity
Predicate operationalChallenges P54463 FINISHED
Object regional instability in Syria 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: regional instability in Syria | Statement: [United Nations Disengagement Observer Force, operationalChallenges, regional instability in Syria]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operationalChallenges
Context triple: [United Nations Disengagement Observer Force, operationalChallenges, regional instability in Syria]
  • A. operationalChallenge chosen
    Indicates that an entity faces difficulties, obstacles, or inefficiencies in carrying out its regular operations or processes.
  • B. developmentChallenges
    Indicates difficulties, obstacles, or constraints that hinder or complicate the process of developing or improving something.
  • C. operationalNature
    Indicates the functional or practical manner in which an entity, process, or system operates or carries out its activities.
  • D. laterOperationalIssue
    Indicates that an operational issue occurred at some point after a referenced time, event, or condition.
  • E. currentChallenges
    Indicates the difficulties or obstacles an entity is presently facing or dealing with.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3847c7fc819098e32b6548943da7 completed March 31, 2026, 2:58 a.m.
PD Predicate disambiguation batch_69cae925ca388190ae4a01fa76e957e8 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:55 p.m.