Triple

T2365080
Position Surface form Disambiguated ID Type / Status
Subject Penance E47360 entity
Predicate priestRole P9873 FINISHED
Object hears confession 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: hears confession | Statement: [Penance, priestRole, hears confession]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: priestRole
Context triple: [Penance, priestRole, hears confession]
  • A. liturgicalRole
    Indicates the specific function or position an entity holds within a religious or liturgical context.
  • B. theologicalRole chosen
    Indicates a relationship where an entity holds or is assigned a specific function, office, or status within a theological or religious framework.
  • C. roleInRitual
    Indicates the specific function, position, or responsibility an entity holds within a particular ritual or ceremonial activity.
  • D. roleInMonasticism
    Indicates the specific function, position, or status an entity holds within a monastic community or tradition.
  • E. religiousAdministration
    Indicates that one entity holds authority or responsibility for managing, overseeing, or governing the religious affairs, practices, or institutions 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc7486cb48190acef1891cc87bdb1 completed March 7, 2026, 6:35 a.m.
PD Predicate disambiguation batch_69abc599b92c819093d9e15d4437705d completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:55 p.m.