Triple
T4155081
| 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 Sudan
The United Nations country team in Sudan is the collective group of UN agencies, funds, and programs working together in Sudan to support humanitarian assistance, development, and peacebuilding efforts in coordination with the Sudanese authorities and other partners.
|
E419839
|
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 Sudan | Statement: [United Nations country teams in Central Africa, hasPart, United Nations country team in Sudan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United Nations country team in Sudan Context triple: [United Nations country teams in Central Africa, hasPart, United Nations country team in Sudan]
-
A.
United Nations country team in South Sudan
The United Nations country team in South Sudan is the collective group of UN agencies, funds, and programmes working together in the country to support peacebuilding, humanitarian assistance, and sustainable development efforts.
-
B.
Sudan Interior Mission
Sudan Interior Mission is a Protestant evangelical organization focused on missionary work and church planting, particularly in parts of Africa.
-
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.
Office of the Special Envoy for Sudan and South Sudan
The Office of the Special Envoy for Sudan and South Sudan is a U.S. diplomatic office focused on advancing peace, stability, and political engagement in Sudan and South Sudan.
-
E.
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.
- 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 Sudan Triple: [United Nations country teams in Central Africa, hasPart, United Nations country team in Sudan]
Generated description
The United Nations country team in Sudan is the collective group of UN agencies, funds, and programs working together in Sudan to support humanitarian assistance, development, and peacebuilding efforts in coordination with the Sudanese authorities and other partners.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: United Nations country team in Sudan Target entity description: The United Nations country team in Sudan is the collective group of UN agencies, funds, and programs working together in Sudan to support humanitarian assistance, development, and peacebuilding efforts in coordination with the Sudanese authorities and other partners.
-
A.
United Nations country team in South Sudan
The United Nations country team in South Sudan is the collective group of UN agencies, funds, and programmes working together in the country to support peacebuilding, humanitarian assistance, and sustainable development efforts.
-
B.
Sudan Interior Mission
Sudan Interior Mission is a Protestant evangelical organization focused on missionary work and church planting, particularly in parts of Africa.
-
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.
Office of the Special Envoy for Sudan and South Sudan
The Office of the Special Envoy for Sudan and South Sudan is a U.S. diplomatic office focused on advancing peace, stability, and political engagement in Sudan and South Sudan.
-
E.
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.
- 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_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_69b589e73f1c8190ac1c09201c7844a8 |
completed | March 14, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69b58b977eb88190ae56f4dedb7147e6 |
completed | March 14, 2026, 4:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58c18fa24819099f122b3a79d1065 |
completed | March 14, 2026, 4:26 p.m. |
Created at: March 9, 2026, 3:44 p.m.