Triple
T22193620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations country teams in Africa |
E548492
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
United Nations country team in Mali
The United Nations country team in Mali is the collective presence of UN agencies, funds, and programmes working together in Mali to support peace, development, humanitarian assistance, and human rights in coordination with the national government.
|
E1524016
|
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 Mali | Statement: [United Nations country teams in Africa, hasPart, United Nations country team in Mali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United Nations country team in Mali Context triple: [United Nations country teams in Africa, hasPart, United Nations country team in Mali]
-
A.
United Nations country team in Mauritania
The United Nations country team in Mauritania is the collective presence of UN agencies, funds, and programmes working together in the country to support national development priorities and the implementation of the UN’s global agenda.
-
B.
United Nations country team in Morocco
The United Nations country team in Morocco is the collective group of UN agencies, funds, and programmes working together in Morocco to support the country’s development priorities and the implementation of the UN’s global agenda.
-
C.
United Nations country team in Algeria
The United Nations country team in Algeria is the collective group of UN agencies, funds, and programmes working together in Algeria to support the country’s development priorities and the implementation of the UN’s global agenda.
-
D.
United Nations country team in Côte d’Ivoire
The United Nations country team in Côte d’Ivoire is the collective group of UN agencies, funds, and programmes coordinating long-term development, humanitarian, and peacebuilding support to the Ivorian government and people.
-
E.
United Nations country teams in Africa
United Nations country teams in Africa are multidisciplinary UN offices in individual African countries that coordinate and implement the UN’s development, humanitarian, and peacebuilding activities on the ground.
- 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 Mali Triple: [United Nations country teams in Africa, hasPart, United Nations country team in Mali]
Generated description
The United Nations country team in Mali is the collective presence of UN agencies, funds, and programmes working together in Mali to support peace, development, humanitarian assistance, and human rights in coordination with the national government.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: United Nations country team in Mali Target entity description: The United Nations country team in Mali is the collective presence of UN agencies, funds, and programmes working together in Mali to support peace, development, humanitarian assistance, and human rights in coordination with the national government.
-
A.
United Nations country team in Mauritania
The United Nations country team in Mauritania is the collective presence of UN agencies, funds, and programmes working together in the country to support national development priorities and the implementation of the UN’s global agenda.
-
B.
United Nations country team in Morocco
The United Nations country team in Morocco is the collective group of UN agencies, funds, and programmes working together in Morocco to support the country’s development priorities and the implementation of the UN’s global agenda.
-
C.
United Nations country team in Algeria
The United Nations country team in Algeria is the collective group of UN agencies, funds, and programmes working together in Algeria to support the country’s development priorities and the implementation of the UN’s global agenda.
-
D.
United Nations country team in Côte d’Ivoire
The United Nations country team in Côte d’Ivoire is the collective group of UN agencies, funds, and programmes coordinating long-term development, humanitarian, and peacebuilding support to the Ivorian government and people.
-
E.
United Nations country teams in Africa
United Nations country teams in Africa are multidisciplinary UN offices in individual African countries that coordinate and implement the UN’s development, humanitarian, and peacebuilding activities on the ground.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae552908190b38c3d765bcfb68a |
completed | April 28, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aa60e47c881909096698dd7d82e7f |
completed | May 18, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_6a0aa6c001d48190b49866f02514aa28 |
completed | May 18, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa74204a081909fa0d80858bfa6bb |
completed | May 18, 2026, 5:44 a.m. |
Created at: April 16, 2026, 8:35 p.m.