Triple

T31595347
Position Surface form Disambiguated ID Type / Status
Subject Eparchy of Lungro E806203 entity
Predicate secondaryLanguageInLiturgy P196551 FINISHED
Object Italian 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: Italian | Statement: [Eparchy of Lungro, secondaryLanguageInLiturgy, Italian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondaryLanguageInLiturgy
Context triple: [Eparchy of Lungro, secondaryLanguageInLiturgy, Italian]
  • A. laterSecondaryLanguageOfAdministration
    Indicates that one language served as a subsequent or later secondary language used for administrative purposes in relation to another language.
  • B. hasSecondaryLiturgy
    Indicates that an entity is associated with an additional, subordinate liturgical service or rite beyond its primary liturgy.
  • C. liturgicalLanguageVersion
    Indicates that one entity is a specific version or form of another entity expressed in a particular liturgical language.
  • D. hasSecondaryNationalLanguage
    Indicates that an entity possesses an officially recognized secondary national language in addition to its primary national language.
  • E. secondaryLanguageSupport
    Indicates that an entity provides assistance, services, or functionality in an additional (non-primary) language.
  • 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_69f348d4891c8190b02bae3c8ecb68b7 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fe5c1a502081909d4024e514309c8e completed May 8, 2026, 9:56 p.m.
PD Predicate disambiguation batch_69fe5a9df21c819087153f5d0bcaa987 completed May 8, 2026, 9:50 p.m.
PDg Predicate description generation batch_69fe5c196f4081908f150d4cd6c528fa completed May 8, 2026, 9:56 p.m.
Created at: April 30, 2026, 10:30 p.m.