Triple

T16600738
Position Surface form Disambiguated ID Type / Status
Subject Pontifical Academy for Latin E403322 entity
Predicate fieldOfWork P3 FINISHED
Object Latin language E5875 NE 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: Latin language | Statement: [Pontifical Academy for Latin, fieldOfWork, Latin language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latin language
Context triple: [Pontifical Academy for Latin, fieldOfWork, 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 (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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d764574819081366374ca0c9bea completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b233ac8190b3f1ab82a47110d4 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.