Triple

T33096619
Position Surface form Disambiguated ID Type / Status
Subject Untersuchungen über das logische Schließen E846924 entity
Predicate logicSystemType P54594 FINISHED
Object intuitionistic logic NE NERFINISHED

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: intuitionistic logic | Statement: [Untersuchungen über das logische Schließen, logicSystemType, intuitionistic logic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: logicSystemType
Context triple: [Untersuchungen über das logische Schließen, logicSystemType, intuitionistic logic]
  • A. logicSystem
    Indicates a relationship where an entity is associated with, defined within, or governed by a particular logical framework or system of formal reasoning.
  • B. logicType chosen
    Indicates the specific kind or category of logical system, rule, or reasoning framework that an entity or statement belongs to.
  • C. logicElementType
    Indicates that one entity is classified as a specific type or category of logical element in relation to another.
  • D. logicalBasis
    Indicates that one entity serves as the reasoning, justification, or inferential support for accepting another entity as true or valid.
  • E. logicalType
    Indicates that one entity is classified as a logical type or category used to define or constrain the logical behavior or interpretation 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_69f3495590dc8190aa04f3dec74ce976 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d6a9d12881908087ba7b04049ec0 completed May 3, 2026, 5:01 a.m.
PD Predicate disambiguation batch_69f6d27120988190aacec621cf2bf0e8 completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:26 a.m.