Triple

T11942077
Position Surface form Disambiguated ID Type / Status
Subject Our Lady of Copacabana E284200 entity
Predicate hasIconographicAttributes P37076 FINISHED
Object crowned Virgin Mary 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: crowned Virgin Mary | Statement: [Our Lady of Copacabana, hasIconographicAttributes, crowned Virgin Mary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIconographicAttributes
Context triple: [Our Lady of Copacabana, hasIconographicAttributes, crowned Virgin Mary]
  • A. hasIconographicFigure chosen
    Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic representation.
  • B. hasIconographicTradition
    Indicates that an entity is associated with a recognized, recurring set of visual motifs or symbolic representations within a particular artistic or cultural tradition.
  • C. hasIcons
    Indicates that one entity possesses, includes, or is associated with one or more icons in relation to another entity or context.
  • D. hasIconicArea
    Indicates that an entity possesses a distinct, widely recognized area or region that is emblematic or characteristic of it.
  • E. iconographyStatus
    Indicates the current condition, completeness, or interpretive state of an entity’s iconographic representation.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90342bb908190a019ac91a2b82f3d completed April 10, 2026, 2:03 p.m.
PD Predicate disambiguation batch_69d8bb3e48e08190b2fee43af4f57323 completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:45 p.m.