Triple

T4784606
Position Surface form Disambiguated ID Type / Status
Subject North Kivu Province E106444 entity
Predicate hasUNPeacekeepingPresence P13841 FINISHED
Object MONUSCO E20864 NE FINISHED

How this triple was built (3 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: MONUSCO | Statement: [North Kivu Province, hasUNPeacekeepingPresence, MONUSCO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MONUSCO
Context triple: [North Kivu Province, hasUNPeacekeepingPresence, MONUSCO]
  • A. United Nations Organization Stabilization Mission in the Democratic Republic of the Congo chosen
    The United Nations Organization Stabilization Mission in the Democratic Republic of the Congo (MONUSCO) is a long-running UN peacekeeping operation tasked with protecting civilians, supporting stabilization, and assisting the government in addressing armed conflict and insecurity in the DRC.
  • B. United Nations Protection Force
    The United Nations Protection Force was a UN peacekeeping mission deployed during the Yugoslav Wars in the early 1990s to help ensure security and facilitate humanitarian aid in conflict-affected areas of the former Yugoslavia.
  • C. United Nations Mission in South Sudan
    The United Nations Mission in South Sudan (UNMISS) is a UN peacekeeping operation tasked with protecting civilians, supporting the implementation of peace agreements, and helping to build state institutions in the world’s newest country.
  • D. United Nations Mission in Sierra Leone
    The United Nations Mission in Sierra Leone was a major UN peacekeeping operation tasked with helping end the country’s civil war, disarm combatants, and support the restoration of stable governance.
  • E. United Nations–African Union Mission in Darfur
    The United Nations–African Union Mission in Darfur (UNAMID) was a joint UN-AU peacekeeping operation deployed to protect civilians and support stability in Sudan’s war-torn Darfur region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasUNPeacekeepingPresence
Context triple: [North Kivu Province, hasUNPeacekeepingPresence, MONUSCO]
  • A. hasPeacekeepingForcesFrom
    Indicates that an entity hosts or is supported by peacekeeping forces that originate from another specified entity.
  • B. hasPeacekeepingRole
    Indicates that an entity holds a responsibility or function related to maintaining or enforcing peace, often in a conflict or post-conflict context.
  • C. hasMilitaryPresence
    Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
  • D. UNMission chosen
    Indicates that an entity is a United Nations peacekeeping or political mission operating in a specific area or context.
  • E. hasUNRegionalRole
    Indicates that an entity holds a specific official function, capacity, or responsibility within a United Nations regional body or framework.
  • F. None of above.

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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65ae49ec81908f16248d22d1155f completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43dbdec88190817845e7930a18f6 completed March 21, 2026, 7:08 a.m.
PD Predicate disambiguation batch_69bd622e1b408190806c15c61519fc74 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:22 p.m.