Triple

T4359382
Position Surface form Disambiguated ID Type / Status
Subject Impress E98626 entity
Predicate regulationModel P14058 FINISHED
Object independent press regulation 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: independent press regulation | Statement: [Impress, regulationModel, independent press regulation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulationModel
Context triple: [Impress, regulationModel, independent press regulation]
  • A. regulatesOrIsRegulatedBy
    Indicates a bidirectional regulatory relationship in which one entity controls, influences, or modulates another, or is itself controlled, influenced, or modulated by that other entity.
  • B. regulatesIn
    Indicates that one entity controls, modulates, or influences the activity, expression, or behavior of another entity within a system or process.
  • C. regulatoryType chosen
    Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
  • D. regulationImpact
    Indicates how a regulation influences, constrains, or alters the behavior, performance, or outcomes associated with the related entities.
  • E. subjectToRegulation
    Indicates that an entity is governed, constrained, or controlled by a specific rule, law, or regulatory framework.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e1bfa48190bb506d9ca1ed7b6a completed March 12, 2026, 11:53 p.m.
PD Predicate disambiguation batch_69b34f53e3cc8190bf5d4dbe2413bf65 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:16 p.m.