Triple

T259440
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Taiwan E5508 entity
Predicate followsBookOfCommonPrayer P1104 FINISHED
Object yes 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: yes | Statement: [Diocese of Taiwan, followsBookOfCommonPrayer, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsBookOfCommonPrayer
Context triple: [Diocese of Taiwan, followsBookOfCommonPrayer, yes]
  • A. churchOrder
    Indicates the hierarchical or organizational structure that defines roles, authority, and governance within a church or religious institution.
  • B. liturgicalServices
    Indicates that one entity conducts, provides, or is associated with formal acts of public worship or religious rites for another entity or context.
  • C. ecclesiasticalPolity
    Indicates the form, structure, and governing system by which a religious or church organization is administered and its authority is distributed.
  • D. liturgicalTradition chosen
    Indicates the specific religious rite or ceremonial tradition according to which a worship service, practice, or community operates.
  • E. hasLiturgicalReading
    Indicates that a religious service, observance, or liturgical event includes or is associated with a specific prescribed reading from scripture or other sacred text.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25f921c2881908821ca2c03815eae completed Feb. 28, 2026, 3:22 a.m.
PD Predicate disambiguation batch_69a25b6b3ea88190bbd858999e42efae completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.