Triple

T11609583
Position Surface form Disambiguated ID Type / Status
Subject Prince-Bishopric of Würzburg E275346 entity
Predicate primaryConfession P63083 FINISHED
Object Roman Catholic 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: Roman Catholic | Statement: [Prince-Bishopric of Würzburg, primaryConfession, Roman Catholic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryConfession
Context triple: [Prince-Bishopric of Würzburg, primaryConfession, Roman Catholic]
  • A. mainConfession chosen
    Indicates that an entity is the primary or most significant confession, admission, or acknowledgment made in relation to another entity or event.
  • B. confession
    Indicates that one entity admits or discloses information, typically acknowledging guilt, responsibility, or a hidden truth, to another entity.
  • C. associatedConfession
    Indicates a relationship where one entity is linked to a specific confession, admission, or statement acknowledging guilt or responsibility.
  • D. confesses
    Indicates that one entity openly admits or acknowledges something, typically a wrongdoing, secret, or previously concealed fact, to another entity.
  • E. usesConfession
    Indicates that one entity employs or relies on a confession (typically an admission of guilt or wrongdoing) as part of its actions or reasoning toward another entity or outcome.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a04231d08190b8a07cd977d11ffa completed April 10, 2026, 7:01 a.m.
PD Predicate disambiguation batch_69d85dd6503c819081f9045e9d5c4f3f completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:38 p.m.