Triple
T877993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Helmets |
E18964
|
entity |
| Predicate | hasNotableMission |
P21019
|
FINISHED |
| Object |
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.
|
E104133
|
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 Mission in Sierra Leone | Statement: [Blue Helmets, hasNotableMission, United Nations Mission in Sierra Leone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United Nations Mission in Sierra Leone Context triple: [Blue Helmets, hasNotableMission, United Nations Mission in Sierra Leone]
-
A.
United Nations Mission in Liberia
The United Nations Mission in Liberia (UNMIL) was a UN peacekeeping operation established in 2003 to help stabilize Liberia after its civil war, support the implementation of peace agreements, and assist in rebuilding national institutions.
-
B.
United Nations Operation in Côte d’Ivoire
The United Nations Operation in Côte d’Ivoire (UNOCI) was a UN peacekeeping mission established to help stabilize the country, support the implementation of peace agreements, and assist in organizing elections following the Ivorian civil conflict.
-
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 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.
-
E.
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.
- 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 Mission in Sierra Leone Triple: [Blue Helmets, hasNotableMission, United Nations Mission in Sierra Leone]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: United Nations Mission in Sierra Leone Target entity description: 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.
-
A.
United Nations Mission in Liberia
The United Nations Mission in Liberia (UNMIL) was a UN peacekeeping operation established in 2003 to help stabilize Liberia after its civil war, support the implementation of peace agreements, and assist in rebuilding national institutions.
-
B.
United Nations Operation in Côte d’Ivoire
The United Nations Operation in Côte d’Ivoire (UNOCI) was a UN peacekeeping mission established to help stabilize the country, support the implementation of peace agreements, and assist in organizing elections following the Ivorian civil conflict.
-
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 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.
-
E.
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.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2b8063081909566c404ca63a29e |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b854469c81908dc4a5c29ee140a4 |
completed | March 4, 2026, 4:43 a.m. |
| NEDg | Description generation | batch_69a7b985298c8190b465ce0589cd2c24 |
completed | March 4, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ba46a2ec8190892404cb1f259cf0 |
completed | March 4, 2026, 4:51 a.m. |
Created at: March 1, 2026, 7:39 p.m.