Triple

T36368452
Position Surface form Disambiguated ID Type / Status
Subject TaxSlayer E895687 entity
Predicate dataSecurityConcern P179367 FINISHED
Object protection of taxpayer information LITERAL 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: protection of taxpayer information | Statement: [TaxSlayer, dataSecurityConcern, protection of taxpayer information]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataSecurityConcern
Context triple: [TaxSlayer, dataSecurityConcern, protection of taxpayer information]
  • A. relatedSecurity
    Indicates that one security has a defined relationship or association with another security, such as dependency, linkage, or relevance.
  • B. securityReason
    Indicates that something occurs, is restricted, or is justified due to concerns about safety, protection, or maintaining security.
  • C. protectionConcerns chosen
    Indicates that there are identified risks, threats, or vulnerabilities affecting the safety, rights, or well-being of an entity that may require protective action or safeguards.
  • D. securityAttention
    Indicates that an entity is the focus of monitoring, concern, or scrutiny from a security perspective.
  • E. securityImplication
    Indicates that one entity has a consequence, effect, or relevance for the safety, protection, or vulnerability status of another entity or system.
  • F. None of above.

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_69f76e5115588190ad8738860b7bc68b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bb3ff1b08190802b1063d55d3923 completed May 3, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69f7b9a611a081908dd6aec1df3f4d7f completed May 3, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:10 p.m.