Triple

T3318621
Position Surface form Disambiguated ID Type / Status
Subject Flag of Armenia E69738 entity
Predicate governmentRegulation P2153 FINISHED
Object rules for display and use 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: rules for display and use | Statement: [Flag of Armenia, governmentRegulation, rules for display and use]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentRegulation
Context triple: [Flag of Armenia, governmentRegulation, rules for display and use]
  • A. governmentTypeRegulated
    Indicates that the type or form of government of an entity is subject to regulation, control, or definition by another authority or governing framework.
  • B. regulationImpact
    Indicates how a regulation influences, constrains, or alters the behavior, performance, or outcomes associated with the related entities.
  • C. environmentalRegulation
    Indicates that one entity imposes rules, standards, or restrictions on another entity’s activities to protect or manage the natural environment.
  • D. governmentInvolvement chosen
    Indicates that a government participates in, influences, regulates, or otherwise plays a role in the specified activity, process, or entity.
  • E. alsoRegulates
    Indicates that an entity not only has a primary regulatory effect on a target but additionally regulates that same target through another, supplementary regulatory relationship.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1151f3c8190911af4edac701116 completed March 8, 2026, 5:25 p.m.
PD Predicate disambiguation batch_69ada42a19348190a3862ce02451f4aa completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:11 p.m.