Triple

T21581979
Position Surface form Disambiguated ID Type / Status
Subject DPL E532543 entity
Predicate enforcementSupport P131304 FINISHED
Object identification of denied persons in export transactions 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: identification of denied persons in export transactions | Statement: [DPL, enforcementSupport, identification of denied persons in export transactions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: enforcementSupport
Context triple: [DPL, enforcementSupport, identification of denied persons in export transactions]
  • A. enforcement
    Indicates the act of compelling compliance with rules, laws, or agreements through monitoring, pressure, or sanctions.
  • B. enablesEnforcementOf chosen
    Indicates that one entity provides the authority, means, or conditions necessary for another entity to carry out enforcement actions or apply rules.
  • C. enforcementStrength
    Indicates the degree or intensity with which rules, laws, or policies are applied and enforced in a given context.
  • D. enforcementModel
    Indicates the method or framework by which rules, policies, or constraints are applied, monitored, and enforced within a system or interaction.
  • E. enforcedLaw
    Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5d28e08190a38de7ad7ed12743 completed April 27, 2026, 4:51 a.m.
PD Predicate disambiguation batch_69e6320c8c2c81908bf031447d66a052 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:31 p.m.