Triple

T31881560
Position Surface form Disambiguated ID Type / Status
Subject Forest of Cedars E813895 entity
Predicate consequenceOfTransgression P6430 FINISHED
Object divine displeasure 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: divine displeasure | Statement: [Forest of Cedars, consequenceOfTransgression, divine displeasure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: consequenceOfTransgression
Context triple: [Forest of Cedars, consequenceOfTransgression, divine displeasure]
  • A. hasTransgression
    Indicates that one entity has committed, is responsible for, or is associated with a violation, offense, or wrongdoing in relation to another entity or rule.
  • B. religiousConsequence chosen
    Indicates a relationship where one event, action, or state leads to an outcome specifically defined or understood in religious terms (such as divine reward, punishment, obligation, or spiritual effect).
  • C. violationConsequences
    Indicates the negative outcomes, penalties, or repercussions that result from a violation of a rule, law, or agreement.
  • D. subjectOfCondemnation
    Indicates that one entity is the target or object of formal disapproval, criticism, or denunciation by another entity.
  • E. consequenceOfKilling
    Indicates that one event or state occurs as a direct result of an act of killing.
  • 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_69f348ed74bc81909846aaa6a3c7318c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f73223675481908c1bc3208c0f5284 completed May 3, 2026, 11:31 a.m.
PD Predicate disambiguation batch_69f7317690108190b3aae2cd2e1d069e completed May 3, 2026, 11:28 a.m.
Created at: April 30, 2026, 11:56 p.m.