Triple
T7779676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EU–US Data Privacy Framework |
E221480
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | EU General Data Protection Regulation |
E84602
|
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 General Data Protection Regulation | Statement: [EU–US Data Privacy Framework, basedOn, EU General Data Protection Regulation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EU General Data Protection Regulation Context triple: [EU–US Data Privacy Framework, basedOn, EU General Data Protection Regulation]
-
A.
GDPR
chosen
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.
-
B.
Data Protection Directive 95/46/EC
The Data Protection Directive 95/46/EC was a foundational European Union law that established early comprehensive rules for the protection of personal data and privacy across EU member states before being superseded by the GDPR.
-
C.
Personal Data Protection Act
The Personal Data Protection Act is Singapore’s primary data protection law that governs the collection, use, and disclosure of individuals’ personal data by organizations.
-
D.
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.
-
E.
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.
- 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_69cb137f224881908731d47547584a8e |
completed | March 31, 2026, 12:21 a.m. |
Created at: March 30, 2026, 4:19 p.m.