Triple
T5906060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations University |
E131342
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object |
UNU Operating Unit on Policy-Driven Electronic Governance
The UNU Operating Unit on Policy-Driven Electronic Governance is a specialized research and training center of the United Nations University focused on how digital technologies can support effective, inclusive, and accountable public governance and policy-making.
|
E554771
|
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: UNU Operating Unit on Policy-Driven Electronic Governance | Statement: [United Nations University, hasCampus, UNU Operating Unit on Policy-Driven Electronic Governance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNU Operating Unit on Policy-Driven Electronic Governance Context triple: [United Nations University, hasCampus, UNU Operating Unit on Policy-Driven Electronic Governance]
-
A.
United Nations E-Government Survey
The United Nations E-Government Survey is a global assessment that evaluates and compares countries’ use of digital technologies to deliver public services and promote inclusive, effective governance.
-
B.
Division for Public Institutions and Digital Government
The Division for Public Institutions and Digital Government is a branch of the UN that supports countries in strengthening public governance and leveraging digital technologies to advance sustainable development and effective, accountable institutions.
-
C.
New Zealand e-government services
New Zealand e-government services are the suite of digital platforms and online tools through which the New Zealand government delivers public services and information to citizens, businesses, and visitors.
-
D.
Evidence-Based Policymaking framework
The Evidence-Based Policymaking framework is a structured approach to designing, implementing, and evaluating public policies using rigorous data analysis, research, and measurable outcomes to inform government decision-making.
-
E.
Simpler: The Future of Government
Simpler: The Future of Government is a book by legal scholar Cass Sunstein that explores how behavioral economics and "nudging" can make government regulation more efficient, transparent, and user-friendly.
- 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: UNU Operating Unit on Policy-Driven Electronic Governance Triple: [United Nations University, hasCampus, UNU Operating Unit on Policy-Driven Electronic Governance]
Generated description
The UNU Operating Unit on Policy-Driven Electronic Governance is a specialized research and training center of the United Nations University focused on how digital technologies can support effective, inclusive, and accountable public governance and policy-making.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UNU Operating Unit on Policy-Driven Electronic Governance Target entity description: The UNU Operating Unit on Policy-Driven Electronic Governance is a specialized research and training center of the United Nations University focused on how digital technologies can support effective, inclusive, and accountable public governance and policy-making.
-
A.
United Nations E-Government Survey
The United Nations E-Government Survey is a global assessment that evaluates and compares countries’ use of digital technologies to deliver public services and promote inclusive, effective governance.
-
B.
Division for Public Institutions and Digital Government
The Division for Public Institutions and Digital Government is a branch of the UN that supports countries in strengthening public governance and leveraging digital technologies to advance sustainable development and effective, accountable institutions.
-
C.
New Zealand e-government services
New Zealand e-government services are the suite of digital platforms and online tools through which the New Zealand government delivers public services and information to citizens, businesses, and visitors.
-
D.
Evidence-Based Policymaking framework
The Evidence-Based Policymaking framework is a structured approach to designing, implementing, and evaluating public policies using rigorous data analysis, research, and measurable outcomes to inform government decision-making.
-
E.
Simpler: The Future of Government
Simpler: The Future of Government is a book by legal scholar Cass Sunstein that explores how behavioral economics and "nudging" can make government regulation more efficient, transparent, and user-friendly.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0377159f88190a142cd7eed6118c1 |
completed | March 22, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b16ba6c881908e9a909bf86ea92d |
completed | March 23, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c0b27438a08190ab6b72c8fd682bf6 |
completed | March 23, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b309a70081908ad3e819879b17e4 |
completed | March 23, 2026, 3:27 a.m. |
Created at: March 22, 2026, 3:59 p.m.