Triple

T25593441
Position Surface form Disambiguated ID Type / Status
Subject Kunstkamera E641582 entity
Predicate hasGermanEtymology P124938 FINISHED
Object Kunstkammer 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: Kunstkammer | Statement: [Kunstkamera, hasGermanEtymology, Kunstkammer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGermanEtymology
Context triple: [Kunstkamera, hasGermanEtymology, Kunstkammer]
  • A. hasLatinEtymology
    Indicates that something originates from or is derived from a Latin word or linguistic root.
  • B. hasEtymologyConcept
    Indicates that something derives its origin, form, or meaning from a particular etymological concept or source.
  • C. hasEtymologicalBasis chosen
    Indicates that one term, name, or expression is derived from, based on, or historically formed from the other in terms of linguistic origin.
  • D. etymologyStatus
    Indicates the status or reliability classification of an etymological explanation for a term or name.
  • E. ethnicallyGermanizedBy
    Indicates that an entity has adopted or been assimilated into German ethnic identity, culture, or characteristics as a result of influence or actions by 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_69e75dc60d108190b7e2419e36b0134b completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f65aa07c048190a5df30d53d8f0cf5 completed May 2, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f659cc571c819097e51e531961d812 completed May 2, 2026, 8:08 p.m.
Created at: April 21, 2026, 4:26 p.m.