Triple

T19120319
Position Surface form Disambiguated ID Type / Status
Subject Archdiocese of Pisa E468024 entity
Predicate traditionallyImportantFor P111152 FINISHED
Object Marian devotion 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: Marian devotion | Statement: [Archdiocese of Pisa, traditionallyImportantFor, Marian devotion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionallyImportantFor
Context triple: [Archdiocese of Pisa, traditionallyImportantFor, Marian devotion]
  • A. hasTraditionalSignificanceAs chosen
    Indicates that something holds recognized traditional importance or meaning in the role or capacity specified by the related entity.
  • B. isImportantFor
    Indicates that something holds significant value, relevance, or necessity in relation to something else.
  • C. traditionallyInvolvedIn
    Indicates that an entity has historically or customarily participated in, practiced, or been associated with a particular activity, role, or domain.
  • D. traditionallyOneOf
    Indicates that something is customarily or historically considered to belong to a specific set, category, or group.
  • E. importantSaint
    Indicates that the subject is recognized as a particularly significant or highly revered saint within a religious or spiritual tradition.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c810808190a88d5c7859e7c650 completed April 20, 2026, 8:28 a.m.
PD Predicate disambiguation batch_69e4b9b085288190b974d649e12e0844 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:05 p.m.