Triple

T9992653
Position Surface form Disambiguated ID Type / Status
Subject UNTAET E196923 entity
Predicate peacekeepingComponent P74312 FINISHED
Object military component 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: military component | Statement: [UNTAET, peacekeepingComponent, military component]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: peacekeepingComponent
Context triple: [UNTAET, peacekeepingComponent, military component]
  • A. peacekeepingModel
    Indicates a model or framework designed to guide, structure, or simulate peacekeeping actions and relationships between involved parties.
  • B. peacekeepingContingent
    Indicates that a group of personnel or forces is deployed with the mandate to help maintain or restore peace between parties in a conflict or post-conflict situation.
  • C. hasPeacekeepingComponent chosen
    Indicates that something includes, involves, or is associated with a peacekeeping-related element, unit, or function.
  • D. peacekeepingMissionImpact
    Indicates the extent to which a peacekeeping mission influences conflict dynamics, stability, and humanitarian conditions in the affected area.
  • E. hasPeacekeepingRole
    Indicates that an entity holds a responsibility or function related to maintaining or enforcing peace, often in a conflict or post-conflict context.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb96c7308190902802ef5df764c1 completed April 2, 2026, 1:51 a.m.
PD Predicate disambiguation batch_69cd1da07db88190945bcdab3ca82e71 completed April 1, 2026, 1:29 p.m.
Created at: March 30, 2026, 8:50 p.m.