Triple

T21140844
Position Surface form Disambiguated ID Type / Status
Subject chancery of the Grand Duke of Lithuania E520920 entity
Predicate usedLanguage P741 FINISHED
Object Latin language 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: Latin language | Statement: [chancery of the Grand Duke of Lithuania, usedLanguage, Latin language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latin language
Context triple: [chancery of the Grand Duke of Lithuania, usedLanguage, Latin language]
  • A. Llatí
    Llatí is a neighborhood within the municipality of Santa Coloma de Gramenet in the metropolitan area of Barcelona, Catalonia, Spain.
  • B. Latin chosen
    Latin is an ancient Italic language of the Roman Empire that profoundly shaped the vocabulary, grammar, and development of many European languages and scholarly traditions.
  • C. Latin I
    Latin I is an introductory course in the Latin language that typically covers basic grammar, vocabulary, and reading skills while introducing students to aspects of ancient Roman culture.
  • D. Latin I
    Latin I is a vowel letter of the modern Latin alphabet, commonly representing the /i/ sound in many languages.
  • E. Latiano
    Latiano is a town and comune in the Apulia region of southern Italy, known for its historic center and agricultural traditions.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235f77708190809d6aa3ee8056aa completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.