Triple

T1709207
Position Surface form Disambiguated ID Type / Status
Subject Melkite Greek Catholic E36938 entity
Predicate usesIconostasis P17186 FINISHED
Object true 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: true | Statement: [Melkite Greek Catholic, usesIconostasis, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesIconostasis
Context triple: [Melkite Greek Catholic, usesIconostasis, true]
  • A. hasIconostasis chosen
    Indicates that a place of worship contains or is equipped with an iconostasis, a partition or screen bearing icons that separates different liturgical spaces.
  • B. iconographyFeature
    Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
  • C. iconographicVariantOf
    Indicates that one representation is an alternative visual or stylistic depiction of the same subject as another representation.
  • D. iconographicVariant
    Indicates that one representation is an alternative or variant visual depiction of another within an iconographic tradition or system.
  • E. iconographicFunction
    Indicates the symbolic or representational role that something serves within an image or visual composition.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab7521878c8190b9e7739b8c3fc705 completed March 7, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69aa61bd46d48190915500d75a9d8e94 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.