Triple

T17021425
Position Surface form Disambiguated ID Type / Status
Subject argument from degrees of perfection E412954 entity
Predicate infersExistenceOf P42357 FINISHED
Object maximally perfect being 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: maximally perfect being | Statement: [argument from degrees of perfection, infersExistenceOf, maximally perfect being]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: infersExistenceOf
Context triple: [argument from degrees of perfection, infersExistenceOf, maximally perfect being]
  • A. concludesExistenceOf chosen
    Indicates that one entity determines or infers that another entity exists.
  • B. proposesExistenceOf
    Indicates that one entity puts forward or suggests that another entity should exist or be brought into existence.
  • C. existsIf
    Indicates that the existence or validity of one entity or condition depends on the presence or truth of another specified condition.
  • D. existsAs
    Indicates that one entity has the same identity or manifestation as another, effectively asserting they are the same existing thing or state.
  • E. existsFor
    Indicates that something is present, available, or holds true for a particular entity, context, or condition.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d0dc848190a267f8542dfb86a6 completed April 18, 2026, 7:04 p.m.
PD Predicate disambiguation batch_69e35d5be7f48190af9db67a1e23850f completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:33 a.m.