Triple

T13287876
Position Surface form Disambiguated ID Type / Status
Subject Ottoman Divan literature E316487 entity
Predicate typicalImagery P17123 FINISHED
Object rose and nightingale 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: rose and nightingale | Statement: [Ottoman Divan literature, typicalImagery, rose and nightingale]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalImagery
Context triple: [Ottoman Divan literature, typicalImagery, rose and nightingale]
  • A. usesImagery
    Indicates that one entity employs descriptive or figurative language to create sensory or vivid mental images in relation to another entity or concept.
  • B. hasColorImagery
    Indicates that something includes or is characterized by visual elements emphasizing specific colors or color-based symbolism.
  • C. usesImageryOf chosen
    Indicates that one entity employs or incorporates visual or sensory imagery that depicts, references, or symbolically represents another entity.
  • D. topographicMap
    Indicates a mapping relationship where a representation shows the physical terrain features and elevation contours of a geographic area.
  • E. typicalStillType
    Indicates that something represents the usual or characteristic form, style, or configuration that an entity typically has or uses.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f6535688190a5a4549b7be2d611 completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:27 p.m.