Triple

T11397202
Position Surface form Disambiguated ID Type / Status
Subject Crypto.com E270006 entity
Predicate regulatoryMeasure P62842 FINISHED
Object implements KYC procedures 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: implements KYC procedures | Statement: [Crypto.com, regulatoryMeasure, implements KYC procedures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatoryMeasure
Context triple: [Crypto.com, regulatoryMeasure, implements KYC procedures]
  • A. regulatoryTool chosen
    Indicates that something functions as an instrument, mechanism, or means used to establish, enforce, or guide rules, standards, or controls over another entity or process.
  • B. regulationAtIssue
    Indicates that a specific regulation is the subject of concern, dispute, or analysis in the given context.
  • C. regulatoryStandard
    Indicates that one entity serves as an official rule, guideline, or benchmark that governs, constrains, or evaluates the behavior, quality, or performance of another entity.
  • D. regulatoryType
    Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
  • E. regulationImpact
    Indicates how a regulation influences, constrains, or alters the behavior, performance, or outcomes associated with the related entities.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80019d3d48190a2f473deb6eae33a completed April 9, 2026, 7:38 p.m.
PD Predicate disambiguation batch_69d7e70b228c8190b87f5101fd683788 completed April 9, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:34 p.m.