Triple
T7779651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EU–US Privacy Shield |
E221479
|
entity |
| Predicate | successorFramework |
P50932
|
FINISHED |
| Object | EU–US Data Privacy Framework |
E221480
|
NE FINISHED |
How this triple was built (2 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: [EU–US Privacy Shield, successorFramework, 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: [EU–US Privacy Shield, successorFramework, EU–US Data Privacy Framework]
-
A.
EU–US Data Privacy Framework
chosen
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.
-
B.
EU–US Privacy Shield
The EU–US Privacy Shield was a transatlantic data transfer framework that governed how companies could legally move personal data from the European Union to the United States while aiming to ensure adequate privacy protections.
-
C.
IAB Transparency and Consent Framework
The IAB Transparency and Consent Framework is an industry standard that enables publishers, advertisers, and ad tech vendors to collect, manage, and signal user consent and privacy preferences for digital advertising in compliance with regulations like the GDPR.
-
D.
EU–Japan data flows dialogue
The EU–Japan data flows dialogue is a bilateral forum where the European Union and Japan coordinate policies and standards on cross-border data transfers, digital trade, and data protection.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69caa4d59bf881909a8b2d57748784b1 |
completed | March 30, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5af0a6c819091f43ac7eda2065e |
completed | March 30, 2026, 10:14 p.m. |
Created at: March 30, 2026, 4:19 p.m.