Triple

T17063926
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Cambrai E414032 entity
Predicate hasLiturgicalChurch P125716 FINISHED
Object Cambrai Cathedral chapter 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: Cambrai Cathedral chapter | Statement: [Bishop of Cambrai, hasLiturgicalChurch, Cambrai Cathedral chapter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLiturgicalChurch
Context triple: [Bishop of Cambrai, hasLiturgicalChurch, Cambrai Cathedral chapter]
  • A. hasLiturgicalNature
    Indicates that something possesses a liturgical character or function, typically relating to formal religious worship or rites.
  • B. hasLiturgicalLife
    Indicates that an entity participates in or maintains practices, rituals, and rhythms associated with liturgical worship.
  • C. hasLiturgicalCategory
    Indicates that something is classified under a particular liturgical category within a religious or worship-related system.
  • D. hasLiturgicalContext
    Indicates that something is associated with, used in, or relevant to a formal religious or liturgical setting or practice.
  • E. hasLiturgicalAspect
    Indicates that something possesses a quality, feature, or dimension specifically related to liturgy or formal religious worship practices.
  • F. None of above. chosen

Provenance (4 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7f6a6081909bebce3ce925e663 completed April 18, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69e35d642f74819098c014135e249b27 completed April 18, 2026, 10:31 a.m.
PDg Predicate description generation batch_69e3753f93c88190808fec5692f66699 completed April 18, 2026, 12:12 p.m.
Created at: April 10, 2026, 5:34 a.m.