Triple

T22187430
Position Surface form Disambiguated ID Type / Status
Subject Dama con liocorno E548330 entity
Predicate depictsMythologicalCreature P64143 FINISHED
Object unicorn 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: unicorn | Statement: [Dama con liocorno, depictsMythologicalCreature, unicorn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: depictsMythologicalCreature
Context triple: [Dama con liocorno, depictsMythologicalCreature, unicorn]
  • A. depictsMythologicalEvent
    Indicates that one entity visually represents or portrays a mythological event involving gods, heroes, or legendary occurrences.
  • B. mythologicalFigureFeatured chosen
    Indicates that a mythological figure is prominently depicted, referenced, or plays a significant role within a given work, context, or medium.
  • C. hasSimilarMythicalCreature
    Indicates that two entities are associated with mythical creatures that share comparable characteristics, roles, or symbolic meanings.
  • D. depictedWithDeity
    Indicates that an entity is shown or represented together with a particular deity in some form of depiction.
  • E. isMythologicalFigureType
    Indicates that one entity is classified as a specific type or category of mythological figure in relation to 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aaa32288190830f6dfc626fb26a completed April 28, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69e71b48576c8190a8e93738fd9cfda5 completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:35 p.m.