Triple

T21709532
Position Surface form Disambiguated ID Type / Status
Subject Ianuarius E535863 entity
Predicate usedInLanguage P907 FINISHED
Object Ecclesiastical Latin NE NERFINISHED

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: Ecclesiastical Latin | Statement: [Ianuarius, usedInLanguage, Ecclesiastical Latin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ecclesiastical Latin
Context triple: [Ianuarius, usedInLanguage, Ecclesiastical Latin]
  • A. Ecclesiastical Latin chosen
    Ecclesiastical Latin is the form of the Latin language traditionally used by the Roman Catholic Church in its liturgy, official documents, and theological writings.
  • B. Medieval Latin
    Medieval Latin is the form of the Latin language used in Europe roughly from the 5th to the 15th century, serving as the primary written and scholarly language of the medieval Christian world.
  • C. Classical Latin
    Classical Latin is the standardized form of the Latin language used in ancient Roman literature, oratory, and formal writing during the late Republic and early Empire.
  • D. Old Latin
    Old Latin is the early form of the Latin language used in ancient Rome before the Classical period, preserved in archaic inscriptions and early literary texts.
  • E. Llatí
    Llatí is a neighborhood within the municipality of Santa Coloma de Gramenet in the metropolitan area of Barcelona, Catalonia, Spain.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb5321d34819091f3cd03f7b407c0 completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:46 p.m.