Triple

T26066386
Position Surface form Disambiguated ID Type / Status
Subject De tempore E657413 entity
Predicate reflectsMethod P132030 FINISHED
Object scholastic disputation 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: scholastic disputation | Statement: [De tempore, reflectsMethod, scholastic disputation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reflectsMethod
Context triple: [De tempore, reflectsMethod, scholastic disputation]
  • A. followsMethod
    Indicates that one method or procedure is carried out in accordance with, or as a consequence of, another specified method.
  • B. implementsMethod
    Indicates that one entity provides a concrete implementation of a specified method defined or required elsewhere.
  • C. hasReflectionFormula
    Indicates that an entity is associated with a specific formula or expression used to compute its reflection (e.g., across a line, plane, or axis).
  • D. specifiesMethod chosen
    Indicates that one entity defines or designates the particular method or procedure by which another entity operates or is carried out.
  • E. reflects
    Indicates that one entity (often a surface, medium, or representation) throws back, mirrors, or otherwise shows an image, property, or state of another entity.
  • 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_69ee5bbe539081909efc7f9dd7c1b53c completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f62d89b89c8190afb372a8172111e7 completed May 2, 2026, 4:59 p.m.
PD Predicate disambiguation batch_69f62c1379f08190836c3e02b0c892df completed May 2, 2026, 4:53 p.m.
Created at: April 26, 2026, 7:24 p.m.