Triple

T6751694
Position Surface form Disambiguated ID Type / Status
Subject The Exception and the Rule E154353 entity
Predicate didacticGoal P27488 FINISHED
Object to reveal the class character of 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: to reveal the class character of justice | Statement: [The Exception and the Rule, didacticGoal, to reveal the class character of justice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: didacticGoal
Context triple: [The Exception and the Rule, didacticGoal, to reveal the class character of justice]
  • A. didacticPurpose chosen
    Indicates that something is intended to teach, instruct, or convey educational content or guidance.
  • B. educationalObjective
    Indicates the intended learning goal, skill, or competency that an educational resource, activity, or program is designed to achieve.
  • C. didacticCharacter
    Indicates that one entity serves a teaching or instructional role toward another, conveying guidance, lessons, or moral instruction.
  • D. aimOf
    Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
  • E. narrativeGoal
    Indicates that one entity has a desired outcome or objective within a story or narrative context that drives their actions or development.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d327e37081909d576e6eff9eec97 completed March 27, 2026, 6:57 p.m.
PD Predicate disambiguation batch_69c6d09227108190b253b91967831a85 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:11 p.m.