Triple
T1998810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Union–United States relations |
E43417
|
entity |
| Predicate | hasKeyFramework |
P9140
|
FINISHED |
| Object |
EU–US Data Privacy Framework
The EU–US Data Privacy Framework is a transatlantic data-transfer agreement that sets rules and safeguards for protecting the personal data of EU citizens when it is transferred to and processed in the United States.
|
E221480
|
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: EU–US Data Privacy Framework | Statement: [European Union–United States relations, hasKeyFramework, EU–US Data Privacy Framework]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EU–US Data Privacy Framework Context triple: [European Union–United States relations, hasKeyFramework, EU–US Data Privacy Framework]
-
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.
GDPR
The GDPR (General Data Protection Regulation) is a comprehensive European Union data protection law that governs how organizations collect, process, and store personal data of individuals in the EU.
-
C.
Joint Committee on Personal Data Protection Bill
The Joint Committee on Personal Data Protection Bill was a parliamentary panel in India tasked with examining and recommending changes to the country’s proposed comprehensive data protection legislation.
-
D.
European Data Protection Supervisor
The European Data Protection Supervisor is the independent EU authority responsible for overseeing the protection of personal data and privacy within European Union institutions and bodies.
-
E.
Cybersecurity Information Sharing Act of 2015
The Cybersecurity Information Sharing Act of 2015 is a U.S. federal law that facilitates the sharing of cyber threat information between private companies and the government to improve national cybersecurity while addressing privacy and civil liberties concerns.
- 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: EU–US Data Privacy Framework Triple: [European Union–United States relations, hasKeyFramework, EU–US Data Privacy Framework]
Generated description
The EU–US Data Privacy Framework is a transatlantic data-transfer agreement that sets rules and safeguards for protecting the personal data of EU citizens when it is transferred to and processed in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EU–US Data Privacy Framework Target entity description: The EU–US Data Privacy Framework is a transatlantic data-transfer agreement that sets rules and safeguards for protecting the personal data of EU citizens when it is transferred to and processed in the United States.
-
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.
GDPR
The GDPR (General Data Protection Regulation) is a comprehensive European Union data protection law that governs how organizations collect, process, and store personal data of individuals in the EU.
-
C.
Joint Committee on Personal Data Protection Bill
The Joint Committee on Personal Data Protection Bill was a parliamentary panel in India tasked with examining and recommending changes to the country’s proposed comprehensive data protection legislation.
-
D.
European Data Protection Supervisor
The European Data Protection Supervisor is the independent EU authority responsible for overseeing the protection of personal data and privacy within European Union institutions and bodies.
-
E.
Cybersecurity Information Sharing Act of 2015
The Cybersecurity Information Sharing Act of 2015 is a U.S. federal law that facilitates the sharing of cyber threat information between private companies and the government to improve national cybersecurity while addressing privacy and civil liberties concerns.
- 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_69abb87dc8d08190907a6579c2b26d01 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae034122ec819096a72685b34c84b9 |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae03b52ed08190a8c8fb8f81073bb3 |
completed | March 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0433b90c81909af348d9a3dcdbec |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:37 p.m.