Triple

T25160128
Position Surface form Disambiguated ID Type / Status
Subject Perpetual Public Peace E626412 entity
Predicate seeksToTransform P20279 FINISHED
Object private justice into public justice 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: private justice into public justice | Statement: [Perpetual Public Peace, seeksToTransform, private justice into public justice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seeksToTransform
Context triple: [Perpetual Public Peace, seeksToTransform, private justice into public justice]
  • A. usesTransformation
    Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
  • B. seeksToShape chosen
    Indicates an entity’s intention or effort to influence, mold, or determine the form, direction, or outcome of another entity or situation.
  • C. includesTransformation
    Indicates that one entity’s process, definition, or composition contains or involves a transformation applied to another entity.
  • D. transformedIn
    Indicates that one entity has been changed, converted, or altered into another state, form, or representation within a specific context or process.
  • E. canTransform
    Indicates that one entity is capable of being changed or converted into another entity or state.
  • 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_69e2ff2834ec8190b0872e2ec3d76023 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f46b8bc80081909a48236997f4018d completed May 1, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69f44d8043b081908bbffd7f044b4f26 completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 6:31 a.m.