Triple
T5652020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Institute of Public Health |
E124529
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Centre for Collaboration with Surveillance Networks
The Centre for Collaboration with Surveillance Networks is a specialized unit within Norway’s public health system that coordinates and strengthens national and international disease surveillance and data-sharing efforts.
|
E535540
|
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: Centre for Collaboration with Surveillance Networks | Statement: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Surveillance Networks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Surveillance Networks Context triple: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Surveillance Networks]
-
A.
Task Force on Surveillance Systems
The Task Force on Surveillance Systems is a specialized committee within the U.S. Federal Financial Institutions Examination Council that focuses on developing and coordinating systems to monitor and analyze financial institution data for supervisory and regulatory purposes.
-
B.
Blavatnik Interdisciplinary Cyber Research Center
The Blavatnik Interdisciplinary Cyber Research Center is a leading academic hub at Tel Aviv University dedicated to advancing research, policy, and innovation in cybersecurity and related digital domains.
-
C.
Doctoral School on Safety and Security Sciences
The Doctoral School on Safety and Security Sciences is a graduate research and training program at Óbuda University focused on advanced studies in safety, security, and risk management.
-
D.
ACM Workshop on Privacy in the Electronic Society
The ACM Workshop on Privacy in the Electronic Society is a leading academic forum for research and discussion on privacy, security, and data protection issues in digital and online environments.
-
E.
Surveillance Self-Defense
Surveillance Self-Defense is an online guide created by the Electronic Frontier Foundation that teaches individuals and organizations practical strategies and tools to protect their privacy and security in the digital world.
- 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: Centre for Collaboration with Surveillance Networks Triple: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Surveillance Networks]
Generated description
The Centre for Collaboration with Surveillance Networks is a specialized unit within Norway’s public health system that coordinates and strengthens national and international disease surveillance and data-sharing efforts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Surveillance Networks Target entity description: The Centre for Collaboration with Surveillance Networks is a specialized unit within Norway’s public health system that coordinates and strengthens national and international disease surveillance and data-sharing efforts.
-
A.
Task Force on Surveillance Systems
The Task Force on Surveillance Systems is a specialized committee within the U.S. Federal Financial Institutions Examination Council that focuses on developing and coordinating systems to monitor and analyze financial institution data for supervisory and regulatory purposes.
-
B.
Blavatnik Interdisciplinary Cyber Research Center
The Blavatnik Interdisciplinary Cyber Research Center is a leading academic hub at Tel Aviv University dedicated to advancing research, policy, and innovation in cybersecurity and related digital domains.
-
C.
Doctoral School on Safety and Security Sciences
The Doctoral School on Safety and Security Sciences is a graduate research and training program at Óbuda University focused on advanced studies in safety, security, and risk management.
-
D.
ACM Workshop on Privacy in the Electronic Society
The ACM Workshop on Privacy in the Electronic Society is a leading academic forum for research and discussion on privacy, security, and data protection issues in digital and online environments.
-
E.
Surveillance Self-Defense
Surveillance Self-Defense is an online guide created by the Electronic Frontier Foundation that teaches individuals and organizations practical strategies and tools to protect their privacy and security in the digital world.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d6af9481909eaeead2a39525ce |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d941ea4819084bab644d6cc2153 |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04edcc0208190bd69b5cce89596f9 |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04ff814b88190ad01844ae2629c6e |
completed | March 22, 2026, 8:24 p.m. |
Created at: March 22, 2026, 3:42 p.m.