Triple

T11342780
Position Surface form Disambiguated ID Type / Status
Subject Beantwortung der Frage: Was ist Aufklärung? E268640 entity
Predicate distinctionMade P36189 FINISHED
Object public use of reason vs private use of reason 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: public use of reason vs private use of reason | Statement: [Beantwortung der Frage: Was ist Aufklärung?, distinctionMade, public use of reason vs private use of reason]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distinctionMade
Context triple: [Beantwortung der Frage: Was ist Aufklärung?, distinctionMade, public use of reason vs private use of reason]
  • A. distinction
    Indicates that one entity is recognized, treated, or classified as different or separate from another.
  • B. introducesDistinction chosen
    Indicates that one entity establishes or makes clear a conceptual or categorical difference between two or more entities or ideas.
  • C. categoryDistinguishedFrom
    Indicates that one category is explicitly distinguished from another, clarifying that they are separate and should not be confused.
  • D. uniformDistinction
    Indicates that a clear and consistent difference is maintained between two or more entities within a given context.
  • E. hasDistinction
    Indicates that one entity possesses, is awarded, or is recognized with a special honor, title, or mark of excellence in relation to another entity or context.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
PD Predicate disambiguation batch_69d7e6f8aeb4819080476f16a69b2ee3 completed April 9, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:33 p.m.