Triple

T4091168
Position Surface form Disambiguated ID Type / Status
Subject Serbian language E87705 entity
Predicate writingSystemStatusInSerbia P7443 FINISHED
Object both Cyrillic and Latin are officially used 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: both Cyrillic and Latin are officially used | Statement: [Serbian language, writingSystemStatusInSerbia, both Cyrillic and Latin are officially used]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: writingSystemStatusInSerbia
Context triple: [Serbian language, writingSystemStatusInSerbia, both Cyrillic and Latin are officially used]
  • A. writingSystemStatus chosen
    Indicates the current functional or sociolinguistic state of a writing system, such as whether it is actively used, obsolete, official, or endangered.
  • B. writingSystemUsedIn
    Indicates that a particular writing system is employed for written communication within a given language, region, or context.
  • C. writingSystem
    Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
  • D. writingSystemStandardized
    Indicates that a writing system has been formally codified and regulated according to an accepted standard or set of rules.
  • E. writingSystemUsedSince
    Indicates that a particular writing system has been in use starting from a specified point in time or period.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcac77788190a5e934fe7c46a1fa completed March 9, 2026, 5 p.m.
PD Predicate disambiguation batch_69aef909c9c88190b09d48dad325a83c completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:39 p.m.