Triple

T17038700
Position Surface form Disambiguated ID Type / Status
Subject Duenos inscription E413386 entity
Predicate writingSystem P454 FINISHED
Object Old Latin E90207 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: Old Latin | Statement: [Duenos inscription, writingSystem, Old Latin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Old Latin
Context triple: [Duenos inscription, writingSystem, Old Latin]
  • A. Old Latin chosen
    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.
  • B. Vulgar Latin
    Vulgar Latin was the everyday, non-standard form of Latin spoken by common people in the Roman Empire, from which the Romance languages later evolved.
  • C. Late Latin
    Late Latin is the transitional form of the Latin language used from roughly the 3rd to 6th centuries AD, bridging Classical Latin and the later medieval and Romance-language developments.
  • D. 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.
  • 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 (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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f45f84819092cfb27cc33da026 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b5ceb048190a7f6cf2361360f90 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.