Triple

T712931
Position Surface form Disambiguated ID Type / Status
Subject Google Ad Manager E14247 entity
Predicate supportsPrivacyFramework P203 FINISHED
Object 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.
E84602 NE FINISHED

How this triple was built (5 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: GDPR | Statement: [Google Ad Manager, supportsPrivacyFramework, GDPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GDPR
Context triple: [Google Ad Manager, supportsPrivacyFramework, GDPR]
  • A. 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.
  • B. Privacy Act of 1974
    The Privacy Act of 1974 is a U.S. federal law that governs how federal agencies collect, maintain, use, and disclose individuals’ personal information, granting citizens rights to access and correct records about themselves.
  • C. Information Commissioner’s Office
    The Information Commissioner’s Office is the UK’s independent authority responsible for upholding information rights, including data protection and privacy, and promoting openness by public bodies.
  • D. Gramm-Leach-Bliley Act of 1999
    The Gramm-Leach-Bliley Act of 1999 is a U.S. federal law that overhauled financial regulation by repealing key parts of Glass-Steagall, allowing the consolidation of commercial banking, investment banking, and insurance services while imposing new consumer privacy and data protection requirements.
  • E. FBI data governance policies
    FBI data governance policies are the formal rules and standards that regulate how the FBI manages, protects, and uses its information and intelligence data across the organization.
  • 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: GDPR
Triple: [Google Ad Manager, supportsPrivacyFramework, GDPR]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GDPR
Target entity description: 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.
  • A. 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.
  • B. Privacy Act of 1974
    The Privacy Act of 1974 is a U.S. federal law that governs how federal agencies collect, maintain, use, and disclose individuals’ personal information, granting citizens rights to access and correct records about themselves.
  • C. Information Commissioner’s Office
    The Information Commissioner’s Office is the UK’s independent authority responsible for upholding information rights, including data protection and privacy, and promoting openness by public bodies.
  • D. Gramm-Leach-Bliley Act of 1999
    The Gramm-Leach-Bliley Act of 1999 is a U.S. federal law that overhauled financial regulation by repealing key parts of Glass-Steagall, allowing the consolidation of commercial banking, investment banking, and insurance services while imposing new consumer privacy and data protection requirements.
  • E. FBI data governance policies
    FBI data governance policies are the formal rules and standards that regulate how the FBI manages, protects, and uses its information and intelligence data across the organization.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsPrivacyFramework
Context triple: [Google Ad Manager, supportsPrivacyFramework, GDPR]
  • A. supportsPolicy
    Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
  • B. supportsPrinciple
    Indicates that one entity endorses, upholds, or actively backs a particular principle or doctrine.
  • C. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • D. supportsUse
    Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
  • E. privacyProperty
    Indicates that one entity has a characteristic, rule, or condition specifically related to privacy in the context of the relationship.
  • F. None of above.

Provenance (6 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a77fcc6881908a025bb21e44ad56 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcb5578c8190b5380f1994fdb4d2 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a601200cb08190927e83db83b3affe completed March 2, 2026, 9:29 p.m.
NED2 Entity disambiguation (via description) batch_69a601b8ee908190b7e617efe34f3d7a completed March 2, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69a4a4f221b081909fbaa689fb20eb3e completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:36 p.m.