Triple

T22216213
Position Surface form Disambiguated ID Type / Status
Subject Existence of God E549078 entity
Predicate hasCounterArgumentType P141178 FINISHED
Object problem of evil 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: problem of evil | Statement: [Existence of God, hasCounterArgumentType, problem of evil]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCounterArgumentType
Context triple: [Existence of God, hasCounterArgumentType, problem of evil]
  • A. hasArgument
    Indicates that one entity serves as an argument (such as an input, parameter, or participant) in relation to another entity, typically a function, event, or statement.
  • B. hasCounterSubject
    Indicates that a subject is associated with another subject that serves as its counterpart, opposite, or contrasting entity in a given context.
  • C. hasCounterexample
    Indicates that there exists at least one specific case or instance that disproves or violates a given claim, rule, or general statement.
  • D. hasOppositionType chosen
    Indicates that an entity is associated with a specific kind or category of opposition it faces or represents.
  • E. containsCounterpoint
    Indicates that one element includes or incorporates another element that serves as a contrasting or opposing argument, idea, or perspective.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b8c9d488190a59f571862997304 completed April 28, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69e71b4dcc408190a30429fb08fcf39e completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:37 p.m.