Triple

T6771793
Position Surface form Disambiguated ID Type / Status
Subject Direction Nationale des Langues Nationales du Mali E155060 entity
Predicate languagePolicyScope P5018 FINISHED
Object multilingual 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: multilingual education | Statement: [Direction Nationale des Langues Nationales du Mali, languagePolicyScope, multilingual education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languagePolicyScope
Context triple: [Direction Nationale des Langues Nationales du Mali, languagePolicyScope, multilingual education]
  • A. languagePolicyIssue
    Indicates that there is a problem, conflict, or concern related to rules or practices governing language use.
  • B. languagePolicyRegion
    Indicates that a particular language policy applies within, or is associated with, a specific geographic or administrative region.
  • C. legalScope
    Indicates the range, boundaries, or extent of authority, applicability, or effect that something has under a particular legal framework or rule.
  • D. scopeOfUse chosen
    Indicates the range, context, or conditions under which something is intended, allowed, or applicable to be used.
  • E. locationPolicy
    Indicates a rule or constraint governing where an entity is allowed, required, or restricted to be located.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2496fa08190895d8b625fb0d699 completed March 27, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69c6d094105881909c5806eb4afa6306 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:13 p.m.