Triple

T27419999
Position Surface form Disambiguated ID Type / Status
Subject Willy Schmidt-Gentner E693012 entity
Predicate primaryLanguageOfComposition P1252 FINISHED
Object German 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: German | Statement: [Willy Schmidt-Gentner, primaryLanguageOfComposition, German]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLanguageOfComposition
Context triple: [Willy Schmidt-Gentner, primaryLanguageOfComposition, German]
  • A. primaryLanguageOf chosen
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • B. primaryLanguageIn
    Indicates that a specified language is the main or official language used within a particular place, organization, or context.
  • C. primaryLanguageType
    Indicates the main category or kind of language (such as spoken, written, or signed) that serves as the primary mode of communication in a given context or for a given entity.
  • D. primaryLanguageOfTranslation
    Indicates that a given language is the main or principal language into which something has been translated.
  • E. primaryLanguageSide1
    Indicates that the specified language is the main or dominant language associated with the first participant or side in a relationship.
  • 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_69ef5208617081908f731d312e0fd1bc completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69ff409ff5548190849c2d50e99bd807 completed May 9, 2026, 2:11 p.m.
PD Predicate disambiguation batch_69ff401a5e188190a72f945e910b4a6c completed May 9, 2026, 2:09 p.m.
Created at: April 27, 2026, 12:35 p.m.