Triple

T34589891
Position Surface form Disambiguated ID Type / Status
Subject Visitation of the Blessed Virgin Mary E888148 entity
Predicate liturgicalHourEmphasis P24082 FINISHED
Object Vespers NE NERFINISHED

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: Vespers | Statement: [Visitation of the Blessed Virgin Mary, liturgicalHourEmphasis, Vespers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: liturgicalHourEmphasis
Context triple: [Visitation of the Blessed Virgin Mary, liturgicalHourEmphasis, Vespers]
  • A. liturgicalMoment chosen
    Indicates the specific point or phase within a liturgical or religious service at which an action, prayer, or ritual occurs.
  • B. liturgicalMood
    Indicates the characteristic emotional or spiritual tone associated with a liturgical practice, rite, or season.
  • C. liturgicalSetting
    Indicates the specific religious or worship context in which a liturgical text, action, or element is intended to be used.
  • D. liturgicalLevel
    Indicates the relative degree of importance or solemnity assigned to a liturgical celebration or observance within a religious tradition.
  • E. liturgicalNote
    Indicates a relationship where a note or comment is specifically associated with liturgical practice, text, or ritual.
  • 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_69f349d3bfcc81909874c99e646fb3ea completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f720cc1bfc8190a16118e3af8e9316 completed May 3, 2026, 10:17 a.m.
PD Predicate disambiguation batch_69f71cc8074c81909ae09bea2acf1a09 completed May 3, 2026, 10 a.m.
Created at: May 1, 2026, 2:03 a.m.