Triple

T9793497
Position Surface form Disambiguated ID Type / Status
Subject Infant Mary E237660 entity
Predicate hasDevotionalUse P59689 FINISHED
Object private prayer 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: private prayer | Statement: [Infant Mary, hasDevotionalUse, private prayer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDevotionalUse
Context triple: [Infant Mary, hasDevotionalUse, private prayer]
  • A. hasDevotionalFormula
    Indicates a relationship where one entity includes, uses, or is associated with a specific devotional formula (such as a set religious phrase, prayer, or invocation).
  • B. devotionalObject chosen
    Indicates that one entity is used by or associated with another as an object of religious or spiritual devotion.
  • C. devotionalPracticesInclude
    Indicates that certain devotional practices form a part or subset of a broader set of devotional activities associated with an entity.
  • D. devotionalImportance
    Indicates the degree to which something is regarded as significant or central within acts of devotion, worship, or religious practice.
  • E. hasSecularUse
    Indicates that something is used in a non-religious, worldly, or secular context or purpose.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda346945481908c2698a79c578ef5 completed April 1, 2026, 10:59 p.m.
PD Predicate disambiguation batch_69cd03da45a88190b71b1be3354c15a6 completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:28 p.m.