Triple

T33492165
Position Surface form Disambiguated ID Type / Status
Subject Palace of Charles V in Granada E857767 entity
Predicate hasCourtyardShape P22480 FINISHED
Object circular 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: circular | Statement: [Palace of Charles V in Granada, hasCourtyardShape, circular]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCourtyardShape
Context triple: [Palace of Charles V in Granada, hasCourtyardShape, circular]
  • A. courtyardShape chosen
    Indicates the geometric form or configuration that characterizes a courtyard.
  • B. hasCourtyard
    Indicates that one entity includes, features, or is characterized by the presence of a courtyard.
  • C. hasCourtyardFeature
    Indicates that a courtyard possesses or includes a specific feature or characteristic.
  • D. hasCourtyardArea
    Indicates that an entity includes or is associated with a courtyard and specifies the size or extent of that courtyard space.
  • E. hasCourtyardUse
    Indicates that one entity is permitted or designated to use the courtyard 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_69f3497547608190a1a0f2365fb713ee completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a037c8ae0248190b7e2ce4bf852c22d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379f505c88190ac0879ab422c3054 completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:38 a.m.