Triple

T9714276
Position Surface form Disambiguated ID Type / Status
Subject Koshali language E235099 entity
Predicate hasScriptUsageContext P45018 FINISHED
Object Odia script used in administration and education 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: Odia script used in administration and education | Statement: [Koshali language, hasScriptUsageContext, Odia script used in administration and education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScriptUsageContext
Context triple: [Koshali language, hasScriptUsageContext, Odia script used in administration and education]
  • A. hasScriptUsage chosen
    Indicates that one entity uses, employs, or is written in the script or writing system specified by another entity.
  • B. containsScript
    Indicates that one entity includes or embeds the script of another entity within it.
  • C. hasScriptRegulator
    Indicates that an entity has an associated mechanism or component that controls or governs its script or scripting behavior.
  • D. hasScriptTool
    Indicates that an entity uses, is associated with, or is supported by a particular scripting tool or scripting environment.
  • E. hasScriptStatus
    Indicates that an entity has a particular script-related state or condition, such as whether a script is present, active, or in a given status.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0a1b548190b34c8571751ca1d3 completed April 1, 2026, 10:36 p.m.
PD Predicate disambiguation batch_69cd03bfeca08190924fca43aaa9c10f completed April 1, 2026, 11:38 a.m.
Created at: March 30, 2026, 8:19 p.m.