Triple
T4155077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations country teams in Central Africa |
E91396
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
United Nations country team in Burundi
The United Nations country team in Burundi is the collective presence of UN agencies, funds, and programmes working together in the country to support peacebuilding, development, and humanitarian priorities in line with national needs and UN mandates.
|
E104020
|
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 country team in Burundi | Statement: [United Nations country teams in Central Africa, hasPart, United Nations country team in Burundi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United Nations country team in Burundi Context triple: [United Nations country teams in Central Africa, hasPart, United Nations country team in Burundi]
-
A.
United Nations country teams in Central Africa
United Nations country teams in Central Africa are integrated groups of UN agencies, funds, and programmes working together at the country level to support national development priorities, peacebuilding, and humanitarian efforts across the Central African subregion.
-
B.
United Nations Assistance Mission in Rwanda
The United Nations Assistance Mission in Rwanda (UNAMIR) was a UN peacekeeping operation deployed in the early 1990s that became tragically associated with its limited ability to prevent or halt the 1994 Rwandan genocide.
-
C.
UN Country Teams
UN Country Teams are in-country groups of UN agencies, funds, and programmes that coordinate their efforts to support national development priorities and the implementation of the UN’s work at the country level.
-
D.
UN country teams in West Africa
UN country teams in West Africa are integrated UN coordination bodies in each country that bring together UN agencies, funds, and programmes to support national development priorities, peacebuilding, and humanitarian efforts across the subregion.
-
E.
Parliament of Burundi
The Parliament of Burundi is the country’s national bicameral legislative body, responsible for making laws and overseeing the executive branch.
- 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 country team in Burundi Triple: [United Nations country teams in Central Africa, hasPart, United Nations country team in Burundi]
Generated description
The United Nations country team in Burundi is the collective presence of UN agencies, funds, and programmes working together in the country to support peacebuilding, development, and humanitarian priorities in line with national needs and UN mandates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: United Nations country team in Burundi Target entity description: The United Nations country team in Burundi is the collective presence of UN agencies, funds, and programmes working together in the country to support peacebuilding, development, and humanitarian priorities in line with national needs and UN mandates.
-
A.
United Nations country teams in Central Africa
United Nations country teams in Central Africa are integrated groups of UN agencies, funds, and programmes working together at the country level to support national development priorities, peacebuilding, and humanitarian efforts across the Central African subregion.
-
B.
United Nations Assistance Mission in Rwanda
The United Nations Assistance Mission in Rwanda (UNAMIR) was a UN peacekeeping operation deployed in the early 1990s that became tragically associated with its limited ability to prevent or halt the 1994 Rwandan genocide.
-
C.
UN Country Teams
chosen
UN Country Teams are in-country groups of UN agencies, funds, and programmes that coordinate their efforts to support national development priorities and the implementation of the UN’s work at the country level.
-
D.
UN country teams in West Africa
UN country teams in West Africa are integrated UN coordination bodies in each country that bring together UN agencies, funds, and programmes to support national development priorities, peacebuilding, and humanitarian efforts across the subregion.
-
E.
Parliament of Burundi
The Parliament of Burundi is the country’s national bicameral legislative body, responsible for making laws and overseeing the executive branch.
- F. None of above.
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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af028e3e5c8190bc1d5a9b9dff1d14 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f3c0d7c819098d67e012ef30818 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b580260a588190a2e1a84513a8c72f |
completed | March 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b580c46e7481908aa13c6d7c6e36de |
completed | March 14, 2026, 3:37 p.m. |
Created at: March 9, 2026, 3:44 p.m.