Triple

T31742919
Position Surface form Disambiguated ID Type / Status
Subject UNMOGIP E810186 entity
Predicate peacekeepingCategory P172493 FINISHED
Object traditional peacekeeping 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: traditional peacekeeping | Statement: [UNMOGIP, peacekeepingCategory, traditional peacekeeping]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: peacekeepingCategory
Context triple: [UNMOGIP, peacekeepingCategory, traditional peacekeeping]
  • A. 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.
  • B. peacekeepingModel
    Indicates a model or framework designed to guide, structure, or simulate peacekeeping actions and relationships between involved parties.
  • C. peacekeepingPartner
    Indicates a cooperative relationship in which entities jointly participate in or support peacekeeping activities or missions.
  • D. peacekeepingPhase
    Indicates the specific stage or phase within a broader peacekeeping operation or process that an entity is involved in.
  • E. peacekeepingMissionName
    Indicates the specific name assigned to a particular peacekeeping mission in which an entity is involved or referenced.
  • 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_69f348e233cc819083b6695f70cd75d8 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6abe15d5c81909ccf4ce37f78bc43 completed May 3, 2026, 1:58 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
PDg Predicate description generation batch_69f6aaf31a548190b2f792ff4b8c002a completed May 3, 2026, 1:54 a.m.
Created at: April 30, 2026, 11:25 p.m.