Triple

T4112475
Position Surface form Disambiguated ID Type / Status
Subject Old Latin E90207 entity
Predicate followedBy P78 FINISHED
Object Classical Latin E233626 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: Classical Latin | Statement: [Old Latin, followedBy, Classical Latin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Classical Latin
Context triple: [Old Latin, followedBy, Classical Latin]
  • A. Classical Latin chosen
    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.
  • B. 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.
  • C. Ecclesiastical Latin
    Ecclesiastical Latin is the form of the Latin language traditionally used by the Roman Catholic Church in its liturgy, official documents, and theological writings.
  • D. Latini prisci
    Latini prisci is a historical term referring to the earliest known Latins, the ancient Italic people who inhabited Latium and formed the ethnic core of Roman civilization.
  • E. Latin
    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.
  • 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_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01decd808190b4e5a5f76b090b0a completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b8adc748190be7b34ff37ae3618 completed March 14, 2026, 2:07 p.m.
Created at: March 9, 2026, 3:41 p.m.