Triple

T3650995
Position Surface form Disambiguated ID Type / Status
Subject Prince Regent E77415 entity
Predicate mayBeRegulatedBy P34856 FINISHED
Object constitution 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: constitution | Statement: [Prince Regent, mayBeRegulatedBy, constitution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayBeRegulatedBy
Context triple: [Prince Regent, mayBeRegulatedBy, constitution]
  • 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. regulatedIn chosen
    Indicates that one entity’s activity, expression, or occurrence is controlled, influenced, or modulated by another entity within a specific context or system.
  • C. regulatesIn
    Indicates that one entity controls, modulates, or influences the activity, expression, or behavior of another entity within a system or process.
  • D. allowsRegulationOf
    Indicates that one entity grants the authority, means, or conditions for another entity to control, manage, or govern something.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc39303bc819090725643e53a96d6 completed March 8, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69adb84650148190bf79231105e58d7f completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:24 p.m.