Triple
T4402673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations country teams in North Africa |
E93652
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
United Nations country team in Tunisia
The United Nations country team in Tunisia is the collective group of UN agencies, funds, and programmes working together in Tunisia to support national development priorities, humanitarian needs, and the implementation of the UN’s global agendas.
|
E438196
|
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 Tunisia | Statement: [United Nations country teams in North Africa, hasPart, United Nations country team in Tunisia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United Nations country team in Tunisia Context triple: [United Nations country teams in North Africa, hasPart, United Nations country team in Tunisia]
-
A.
United Nations country teams in North Africa
United Nations country teams in North Africa are coordinated groups of UN agencies, funds, and programmes working together within each North African country to support national development priorities and the implementation of UN mandates.
-
B.
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.
-
C.
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.
-
D.
United Nations country team in Rwanda
The United Nations country team in Rwanda is the collective group of UN agencies, funds, and programmes working together in Rwanda to support the country’s development, humanitarian, and human rights priorities.
-
E.
United Nations country team in Democratic Republic of the Congo
The United Nations country team in the Democratic Republic of the Congo is the collective presence of UN agencies, funds, and programmes working together to support peacebuilding, humanitarian assistance, and sustainable development in the country.
- 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 Tunisia Triple: [United Nations country teams in North Africa, hasPart, United Nations country team in Tunisia]
Generated description
The United Nations country team in Tunisia is the collective group of UN agencies, funds, and programmes working together in Tunisia to support national development priorities, humanitarian needs, and the implementation of the UN’s global agendas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: United Nations country team in Tunisia Target entity description: The United Nations country team in Tunisia is the collective group of UN agencies, funds, and programmes working together in Tunisia to support national development priorities, humanitarian needs, and the implementation of the UN’s global agendas.
-
A.
United Nations country teams in North Africa
United Nations country teams in North Africa are coordinated groups of UN agencies, funds, and programmes working together within each North African country to support national development priorities and the implementation of UN mandates.
-
B.
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.
-
C.
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.
-
D.
United Nations country team in Rwanda
The United Nations country team in Rwanda is the collective group of UN agencies, funds, and programmes working together in Rwanda to support the country’s development, humanitarian, and human rights priorities.
-
E.
United Nations country team in Democratic Republic of the Congo
The United Nations country team in the Democratic Republic of the Congo is the collective presence of UN agencies, funds, and programmes working together to support peacebuilding, humanitarian assistance, and sustainable development in the country.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352d08a0c8190ac6c125df40eca75 |
completed | March 12, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5fc9f508190a31adb0758555dfa |
completed | March 14, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_69b5f9ccfb708190be00532e7f512a0c |
completed | March 15, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5fa9d7fec81908b53c2e45d0c7fe6 |
completed | March 15, 2026, 12:17 a.m. |
Created at: March 12, 2026, 11:28 p.m.