Triple

T35692910
Position Surface form Disambiguated ID Type / Status
Subject Willingshausen E1031348 entity
Predicate hasArtistsColonySince P145906 FINISHED
Object 19th century 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: 19th century | Statement: [Willingshausen, hasArtistsColonySince, 19th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArtistsColonySince
Context triple: [Willingshausen, hasArtistsColonySince, 19th century]
  • A. hasResidentArtist
    Indicates that one entity serves as the resident artist associated with or based at another entity.
  • B. hasArtColonyHistory chosen
    Indicates that an entity has a historical association with an art colony, such as having hosted, contained, or been significantly involved with one.
  • C. hasSiblingArtists
    Indicates that the entities are siblings who are both artists or involved in artistic professions.
  • D. hasArtCentreEstablishedFor
    Indicates that an art centre has been created or set up specifically for the benefit, use, or service of a particular entity.
  • E. hasArtisticAssociationWith
    Indicates a relationship in which two entities are connected through shared, collaborative, or thematically related artistic work or influence.
  • 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_69f76e0c73ec819080ab60a9e2f5f1f6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fe59d11e9881909d2f33b7c717030e completed May 8, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69fe394fdfbc8190a931926ae3635cbf completed May 8, 2026, 7:28 p.m.
Created at: May 3, 2026, 4:05 p.m.