Triple

T35811168
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Diocese in the Czech Republic E1035232 entity
Predicate mayUseLanguageOfLiturgy P45911 FINISHED
Object Czech 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: Czech | Statement: [Roman Catholic Diocese in the Czech Republic, mayUseLanguageOfLiturgy, Czech]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayUseLanguageOfLiturgy
Context triple: [Roman Catholic Diocese in the Czech Republic, mayUseLanguageOfLiturgy, Czech]
  • A. liturgicalLanguageUsage chosen
    Indicates the relationship in which a particular language is used as the medium for conducting religious or liturgical rites, prayers, or ceremonies.
  • B. languageOfWorship
    Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
  • C. mayUseLanguagesOf
    Indicates that an entity is permitted to use the languages associated with another entity.
  • D. liturgicalLanguageVersion
    Indicates that one entity is a specific version or form of another entity expressed in a particular liturgical language.
  • E. usesPrimaryLiturgicalLanguageHistorically
    Indicates that an entity has historically used a particular primary liturgical language in its religious rites or worship practices.
  • 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_69f76e1762408190b885a8456862e372 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8d219f8819081dc4ce3c83ca0cb completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.