Triple

T668703
Position Surface form Disambiguated ID Type / Status
Subject Alessandro Volta 10000 lire banknote E12923 entity
Predicate writingSystemOnNote P454 FINISHED
Object Latin alphabet 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: Latin alphabet | Statement: [Alessandro Volta 10000 lire banknote, writingSystemOnNote, Latin alphabet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: writingSystemOnNote
Context triple: [Alessandro Volta 10000 lire banknote, writingSystemOnNote, Latin alphabet]
  • A. writingSystem chosen
    Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
  • B. writingSystemClass
    Indicates that one entity is classified as a type or category of writing system to which the other entity belongs.
  • C. writingSystemScope
    Indicates the range or extent of content, languages, or contexts to which a particular writing system applies or is used.
  • D. writingSystemUsedSince
    Indicates that a particular writing system has been in use starting from a specified point in time or period.
  • E. writingSystemStatus
    Indicates the current functional or sociolinguistic state of a writing system, such as whether it is actively used, obsolete, official, or endangered.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ff921288190a2e5edb201ba69ee completed March 1, 2026, 8:22 p.m.
PD Predicate disambiguation batch_69a49d18942c819083b3d1887e505900 completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.