Triple

T27192886
Position Surface form Disambiguated ID Type / Status
Subject Hybris E683520 entity
Predicate typicalConsequence P812 FINISHED
Object divine punishment 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 punishment | Statement: [Hybris, typicalConsequence, divine punishment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalConsequence
Context triple: [Hybris, typicalConsequence, divine punishment]
  • A. unexpectedConsequenceOf
    Indicates that one event, action, or condition occurs as an unforeseen or unintended result of another.
  • B. consequenceOfInfluence
    Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
  • C. hasConsequence chosen
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • D. consequenceInText
    Indicates that one event, action, or state is presented in the text as a consequence or result of another.
  • E. consequenceOfGoal
    Indicates that one situation, event, or state occurs as a result of pursuing or achieving a particular goal.
  • 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_69eefad1fd5c8190a4a46ea6afe58bfa completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69ff965f9be48190b015b788207be676 completed May 9, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69ff95d3015c8190b9d293fe31b859c3 completed May 9, 2026, 8:15 p.m.
Created at: April 27, 2026, 9:33 a.m.