Triple

T1685983
Position Surface form Disambiguated ID Type / Status
Subject Form of the Good E36441 entity
Predicate functionInAnalogy P23285 FINISHED
Object illuminates intelligible objects 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: illuminates intelligible objects | Statement: [Form of the Good, functionInAnalogy, illuminates intelligible objects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: functionInAnalogy
Context triple: [Form of the Good, functionInAnalogy, illuminates intelligible objects]
  • A. functionHypothesis
    Indicates that an entity is proposed or assumed to serve as a function or functional explanation for another entity or phenomenon.
  • B. intendedFunction
    Indicates that something is designed or purposed to perform a particular role, use, or function.
  • C. associatedFunction chosen
    Indicates that one entity has a related or linked function that is conceptually or operationally connected to it.
  • D. notFunction
    Indicates that the specified entity does not serve as a function or is not used in a functional role within the given context.
  • E. formerFunction
    Indicates that an entity previously held a specific role, position, or function but no longer does so.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf3359ce48190803b322db8ad6027 completed March 6, 2026, 3:31 p.m.
PD Predicate disambiguation batch_69aa61b71cec8190b273588051058ebd completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:29 p.m.