Triple

T21774934
Position Surface form Disambiguated ID Type / Status
Subject Åsgårdstrand E537544 entity
Predicate hasArtColonyHistory P145906 FINISHED
Object yes 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: yes | Statement: [Åsgårdstrand, hasArtColonyHistory, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArtColonyHistory
Context triple: [Åsgårdstrand, hasArtColonyHistory, yes]
  • A. hasArtGallery
    Indicates that one entity possesses, contains, or hosts an art gallery as part of its facilities or offerings.
  • B. hasArtCentreEstablishedFor
    Indicates that an art centre has been created or set up specifically for the benefit, use, or service of a particular entity.
  • C. hasArtCollection
    Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
  • D. hasArtHistoricalSignificance
    Indicates that something holds notable importance or influence within the context of art history.
  • E. hasArtScene
    Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
  • F. None of above. chosen

Provenance (4 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04627bd488190bbc1fde8db417b55 completed April 28, 2026, 5:31 a.m.
PD Predicate disambiguation batch_69e6be6299988190a34c98fa76d94700 completed April 21, 2026, 12:01 a.m.
PDg Predicate description generation batch_69e6d054737081908aa7112975b77475 completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 6:51 p.m.