Triple

T6516644
Position Surface form Disambiguated ID Type / Status
Subject Our Lady Co-Redemptrix Seminary, Argentina E148279 entity
Predicate hasDisciplineStyle P70859 FINISHED
Object traditional seminary discipline 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: traditional seminary discipline | Statement: [Our Lady Co-Redemptrix Seminary, Argentina, hasDisciplineStyle, traditional seminary discipline]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDisciplineStyle
Context triple: [Our Lady Co-Redemptrix Seminary, Argentina, hasDisciplineStyle, traditional seminary discipline]
  • A. hasDisciplineSystem chosen
    Indicates that an entity possesses or is governed by a particular system of rules, methods, or practices for maintaining discipline.
  • B. supportsDiscipline
    Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
  • C. hasContractStyle
    Indicates that one entity is associated with or characterized by a particular contract style or contractual format.
  • D. hasStyle
    Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
  • E. typeDiscipline
    Indicates that an entity is associated with, categorized under, or characterized by a particular discipline or field of study.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0ece2081909c14accef90efd7c completed March 27, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69c68ab98c78819081743e614df04e1d completed March 27, 2026, 1:48 p.m.
Created at: March 27, 2026, 1:44 p.m.