Triple
T16435407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNITAR Division for Multilateral Diplomacy |
E399169
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | training and research unit |
C16204
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: training and research unit Context triple: [UNITAR Division for Multilateral Diplomacy, instanceOf, training and research unit]
-
A.
training unit
A training unit is a structured, self-contained segment of instruction designed to teach specific knowledge, skills, or competencies within a broader training program.
-
B.
multidisciplinary research unit
A multidisciplinary research unit is an organized group that integrates expertise, methods, and perspectives from multiple academic or professional fields to collaboratively investigate complex problems and generate comprehensive insights.
-
C.
United Nations research and training institute
chosen
A United Nations research and training institute is an organization established by the UN to conduct policy-relevant research and provide specialized training and capacity-building programs that support the UN’s goals in areas such as peace, development, human rights, and international cooperation.
-
D.
research and development organization
A research and development organization is an entity dedicated to systematically investigating ideas and technologies to create new knowledge, products, or processes and improve existing ones.
-
E.
machine learning research institute
A machine learning research institute is an organization dedicated to advancing the theory, algorithms, and applications of machine learning through systematic research, experimentation, and collaboration.
- F. None of above.
Provenance (1 batch)
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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 10, 2026, 5:10 a.m.