Triple

T16693163
Position Surface form Disambiguated ID Type / Status
Subject The Slav Epic E405641 entity
Predicate hasDimensionsCharacteristic P50437 FINISHED
Object very large-format canvases 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: very large-format canvases | Statement: [The Slav Epic, hasDimensionsCharacteristic, very large-format canvases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDimensionsCharacteristic
Context triple: [The Slav Epic, hasDimensionsCharacteristic, very large-format canvases]
  • A. hasDimension
    Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
  • B. hasIndividualDimension
    Indicates that an entity possesses a specific, separately identifiable dimension or measurable extent as an individual attribute.
  • C. hasDimensionality
    Indicates that an entity possesses a specific number of dimensions or a particular dimensional structure.
  • D. includesDimension
    Indicates that one entity encompasses or contains a particular dimension or measurable aspect as part of its definition or structure.
  • E. dimensionCharacteristic chosen
    Indicates that one entity specifies or describes a dimensional property or measurement characteristic of 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eaacb948190954231c9e97a4adf completed April 18, 2026, 12:52 p.m.
PD Predicate disambiguation batch_69e319bc73908190a0e38bc926b31f10 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:19 a.m.