Triple

T4767974
Position Surface form Disambiguated ID Type / Status
Subject Mysteria Gaudiosa E105857 entity
Predicate devotionalTheme P11561 FINISHED
Object joy 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: joy | Statement: [Mysteria Gaudiosa, devotionalTheme, joy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: devotionalTheme
Context triple: [Mysteria Gaudiosa, devotionalTheme, joy]
  • A. associatedDevotion
    Indicates a relationship where one entity is linked to or characterized by a particular devotion, dedication, or religious/spiritual practice connected to another entity.
  • B. liturgicalTheme chosen
    Indicates the religious or worship-related theme that characterizes or frames a liturgical action, text, or event.
  • C. religiousMood
    Indicates a prevailing emotional or spiritual atmosphere associated with religious experience, practice, or devotion between entities.
  • D. scripturalTheme
    Indicates that one entity represents a central religious or theological theme expressed, discussed, or emphasized within a scriptural text or passage.
  • E. worshipFocus
    Indicates that one entity directs religious reverence, devotion, or adoration toward another as the primary object of worship.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd686ef1b08190ad60375592c9d6c0 completed March 20, 2026, 3:31 p.m.
PD Predicate disambiguation batch_69bd622807f881908e4bcb14f7731bac completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:21 p.m.