Triple

T26864822
Position Surface form Disambiguated ID Type / Status
Subject Rotes Kloster E676435 entity
Predicate heutigeNutzung P34114 FINISHED
Object Museum 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: Museum | Statement: [Rotes Kloster, heutigeNutzung, Museum]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: heutigeNutzung
Context triple: [Rotes Kloster, heutigeNutzung, Museum]
  • A. primaryCurrentUse
    Indicates the main way something is currently being used or its principal present function.
  • B. contemporaryUse chosen
    Indicates that something is currently used or practiced in the present time or modern context.
  • C. usedFor
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • D. primaryUseOf
    Indicates that one entity serves as the main or principal function, purpose, or application of another entity.
  • E. plannedUseOf
    Indicates that one entity is intended or designated to be used for a specific purpose, function, or activity involving 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_69eee9ba94bc8190b44c5d4397d04ecd completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61e96d45881909f2b93dfc522064f completed May 2, 2026, 3:56 p.m.
PD Predicate disambiguation batch_69f611ad2eb48190ac1ed0090f13f7a9 completed May 2, 2026, 3:01 p.m.
Created at: April 27, 2026, 5:28 a.m.