Triple

T21599246
Position Surface form Disambiguated ID Type / Status
Subject Rebellion E532989 entity
Predicate centralProblem P5193 FINISHED
Object compatibility of divine goodness with innocent suffering 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: compatibility of divine goodness with innocent suffering | Statement: [Rebellion, centralProblem, compatibility of divine goodness with innocent suffering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: centralProblem
Context triple: [Rebellion, centralProblem, compatibility of divine goodness with innocent suffering]
  • A. centralQuestion chosen
    Indicates that something is the main issue, problem, or inquiry around which a discussion, work, or investigation is focused.
  • B. typicalProblem
    Indicates that a situation, issue, or obstacle is representative or characteristic of the usual problems encountered in a given context.
  • C. centralQuest
    Indicates that an action, objective, or storyline serves as the primary or main quest within a larger narrative or mission structure.
  • D. centralConflictIn
    Indicates that one situation, issue, or opposition serves as the primary source of tension or struggle within another context, such as a story, event, or scenario.
  • E. problemType
    Indicates the specific category or classification of a problem within a defined problem space or system.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefae4746c819090afe1d93fe9f175 completed April 27, 2026, 5:57 a.m.
PD Predicate disambiguation batch_69e632109d048190b4ac3f14fe48d1a0 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:32 p.m.