Triple

T22689288
Position Surface form Disambiguated ID Type / Status
Subject Banjarese E561004 entity
Predicate writingSystemNote P149264 FINISHED
Object Latin script is commonly used in modern contexts 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 script is commonly used in modern contexts | Statement: [Banjarese, writingSystemNote, Latin script is commonly used in modern contexts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: writingSystemNote
Context triple: [Banjarese, writingSystemNote, Latin script is commonly used in modern contexts]
  • A. writingSystemScope
    Indicates the range or extent of content, languages, or contexts to which a particular writing system applies or is used.
  • B. writingSystem
    Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
  • C. writingSystemStatus
    Indicates the current functional or sociolinguistic state of a writing system, such as whether it is actively used, obsolete, official, or endangered.
  • D. structureNote
    Indicates a note or annotation that describes or clarifies the structure, organization, or arrangement of something.
  • E. writingSystemCreator
    Indicates that one entity is the creator or originator of the writing system used by another entity.
  • F. None of above. chosen

Provenance (4 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789931148190925ce9038c16413b completed April 29, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69ee62b2259c819091ed1387a748b9f3 completed April 26, 2026, 7:08 p.m.
PDg Predicate description generation batch_69ee8843d3308190b6e22bb98ae5c3d8 completed April 26, 2026, 9:48 p.m.
Created at: April 17, 2026, 3:13 p.m.