Triple
T2004838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Information Commissioner’s Office |
E43556
|
entity |
| Predicate | appliesStatutoryRegulation |
P32982
|
FINISHED |
| Object |
Network and Information Systems Regulations
The Network and Information Systems Regulations are UK cybersecurity laws that impose security and incident-reporting requirements on operators of essential services and certain digital service providers to improve the resilience of critical network and information systems.
|
E224086
|
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: Network and Information Systems Regulations | Statement: [Information Commissioner’s Office, appliesStatutoryRegulation, Network and Information Systems Regulations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Network and Information Systems Regulations Context triple: [Information Commissioner’s Office, appliesStatutoryRegulation, Network and Information Systems Regulations]
-
A.
New York State Department of Financial Services Cybersecurity Regulation
The New York State Department of Financial Services Cybersecurity Regulation is a pioneering set of cybersecurity requirements for financial institutions operating in New York, mandating robust risk-based programs, incident reporting, and governance to protect consumers and the financial system from cyber threats.
-
B.
Internet governance
Internet governance refers to the collective processes, policies, and institutions that shape the evolution, management, and use of the global Internet, including its technical standards, domain name system, and related public policy issues.
-
C.
NATO cyber structures
NATO cyber structures are the alliance’s integrated organizations, capabilities, and command arrangements dedicated to coordinating, defending, and conducting operations in cyberspace across member states.
-
D.
Federal Information Processing Standards
Federal Information Processing Standards are publicly announced, U.S. government–wide standards that define requirements for information security, data formats, and interoperability in federal computer systems.
-
E.
Secure Information Exchange Network Application
The Secure Information Exchange Network Application (SIENA) is Europol’s secure communication platform used by law enforcement authorities across Europe to exchange sensitive criminal intelligence and operational information.
- 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: Network and Information Systems Regulations Triple: [Information Commissioner’s Office, appliesStatutoryRegulation, Network and Information Systems Regulations]
Generated description
The Network and Information Systems Regulations are UK cybersecurity laws that impose security and incident-reporting requirements on operators of essential services and certain digital service providers to improve the resilience of critical network and information systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Network and Information Systems Regulations Target entity description: The Network and Information Systems Regulations are UK cybersecurity laws that impose security and incident-reporting requirements on operators of essential services and certain digital service providers to improve the resilience of critical network and information systems.
-
A.
New York State Department of Financial Services Cybersecurity Regulation
The New York State Department of Financial Services Cybersecurity Regulation is a pioneering set of cybersecurity requirements for financial institutions operating in New York, mandating robust risk-based programs, incident reporting, and governance to protect consumers and the financial system from cyber threats.
-
B.
Internet governance
Internet governance refers to the collective processes, policies, and institutions that shape the evolution, management, and use of the global Internet, including its technical standards, domain name system, and related public policy issues.
-
C.
NATO cyber structures
NATO cyber structures are the alliance’s integrated organizations, capabilities, and command arrangements dedicated to coordinating, defending, and conducting operations in cyberspace across member states.
-
D.
Federal Information Processing Standards
Federal Information Processing Standards are publicly announced, U.S. government–wide standards that define requirements for information security, data formats, and interoperability in federal computer systems.
-
E.
Secure Information Exchange Network Application
The Secure Information Exchange Network Application (SIENA) is Europol’s secure communication platform used by law enforcement authorities across Europe to exchange sensitive criminal intelligence and operational information.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbdbe35688190ab99620859e071c6 |
completed | March 7, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0adcd2708190b126e3872679d88c |
completed | March 8, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69ae0b4a9a5c819095d30e2dd1395e88 |
completed | March 8, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0b79ad948190adaed0801be0d2a3 |
completed | March 8, 2026, 11:51 p.m. |
Created at: March 4, 2026, 7:37 p.m.