Triple

T32141306
Position Surface form Disambiguated ID Type / Status
Subject Julii Libones E820909 entity
Predicate usedRomanNamingConvention P1217 FINISHED
Object tria nomina LITERAL 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: tria nomina | Statement: [Julii Libones, usedRomanNamingConvention, tria nomina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedRomanNamingConvention
Context triple: [Julii Libones, usedRomanNamingConvention, tria nomina]
  • A. usesRomanNumerals
    Indicates that something represents numbers or sequences using the Roman numeral system rather than standard Arabic digits.
  • B. namespaceConvention
    Indicates the naming and structural rules that govern how namespaces are defined, organized, and referenced in a system.
  • C. hasRomanName
    Indicates that an entity is associated with or known by a name derived from or used in ancient Rome.
  • D. usesNamingSystem chosen
    Indicates that one entity adopts or applies a particular naming system or convention to identify or label other entities.
  • E. romanNomen
    Indicates that an entity has a specific Roman nomen, i.e., the clan or gens name within the traditional Roman naming system.
  • F. None of above.

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_69f3490520d081909b2f1271dab75faa completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b9aed8c881908214b59cb895fa65 completed May 3, 2026, 2:57 a.m.
PD Predicate disambiguation batch_69f6b3a970b0819090c6473844ffa8e3 completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:30 a.m.