Triple

T942513
Position Surface form Disambiguated ID Type / Status
Subject United Nations Mission in South Sudan E20337 entity
Predicate peacekeepingType P13841 FINISHED
Object multidimensional peacekeeping operation 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: multidimensional peacekeeping operation | Statement: [United Nations Mission in South Sudan, peacekeepingType, multidimensional peacekeeping operation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: peacekeepingType
Context triple: [United Nations Mission in South Sudan, peacekeepingType, multidimensional peacekeeping operation]
  • A. hasPeacekeepingRole
    Indicates that an entity holds a responsibility or function related to maintaining or enforcing peace, often in a conflict or post-conflict context.
  • B. maintainedPeaceWith
    Indicates that two entities sustained a state of peace or non-conflict with each other over a period of time.
  • C. peaceProcessInvolved
    Indicates that an entity participates in, contributes to, or is otherwise involved in a formal peace process or peace negotiations.
  • D. UNMission chosen
    Indicates that an entity is a United Nations peacekeeping or political mission operating in a specific area or context.
  • E. ceasefireDeclared
    Indicates that a formal agreement has been made to stop hostilities or armed conflict between opposing parties.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a1a4888190997adf56eb761431 completed March 1, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69a4b29dc8dc8190b9d33f70f8563d61 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.