Triple

T4185232
Position Surface form Disambiguated ID Type / Status
Subject Darfur conflict E88293 entity
Predicate peacekeepingMission P68 FINISHED
Object 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.
E422439 NE FINISHED

How this triple was built (4 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: United Nations–African Union Mission in Darfur | Statement: [Darfur conflict, peacekeepingMission, United Nations–African Union Mission in Darfur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United Nations–African Union Mission in Darfur
Context triple: [Darfur conflict, peacekeepingMission, United Nations–African Union Mission in Darfur]
  • A. African Union Mission in Sudan
    The African Union Mission in Sudan (AMIS) was a regional peacekeeping operation deployed by the African Union to monitor ceasefires, protect civilians, and support stability in Sudan’s Darfur region during the mid-2000s conflict.
  • B. 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.
  • C. United Nations Organization Stabilization Mission in the Democratic Republic of the Congo
    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.
  • D. African Union Mission in Somalia
    The African Union Mission in Somalia (AMISOM) was a regional peacekeeping operation established by the African Union and endorsed by the United Nations to support Somalia’s transitional institutions, combat insurgent groups, and help stabilize the country.
  • E. United Nations Multidimensional Integrated Stabilization Mission in Mali
    The United Nations Multidimensional Integrated Stabilization Mission in Mali (MINUSMA) is a UN peacekeeping operation established to support political processes and stabilize Mali amid ongoing conflict and insecurity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: United Nations–African Union Mission in Darfur
Triple: [Darfur conflict, peacekeepingMission, United Nations–African Union Mission in Darfur]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: United Nations–African Union Mission in Darfur
Target entity description: 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.
  • A. African Union Mission in Sudan
    The African Union Mission in Sudan (AMIS) was a regional peacekeeping operation deployed by the African Union to monitor ceasefires, protect civilians, and support stability in Sudan’s Darfur region during the mid-2000s conflict.
  • B. 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.
  • C. United Nations Organization Stabilization Mission in the Democratic Republic of the Congo
    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.
  • D. African Union Mission in Somalia
    The African Union Mission in Somalia (AMISOM) was a regional peacekeeping operation established by the African Union and endorsed by the United Nations to support Somalia’s transitional institutions, combat insurgent groups, and help stabilize the country.
  • E. United Nations Multidimensional Integrated Stabilization Mission in Mali
    The United Nations Multidimensional Integrated Stabilization Mission in Mali (MINUSMA) is a UN peacekeeping operation established to support political processes and stabilize Mali amid ongoing conflict and insecurity.
  • F. None of above. chosen

Provenance (5 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af032318bc81908345db0753f8ba66 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5961c2ad08190a1bb13bf040481a1 completed March 14, 2026, 5:08 p.m.
NEDg Description generation batch_69b596cb73ac81909f83daca406ad8c4 completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59a9c386081909c21ad554d403bfc completed March 14, 2026, 5:27 p.m.
Created at: March 9, 2026, 3:45 p.m.