Triple

T11582650
Position Surface form Disambiguated ID Type / Status
Subject Tumbuka E274665 entity
Predicate hasEducationalStatus P100433 FINISHED
Object taught as a subject in some Malawian schools 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: taught as a subject in some Malawian schools | Statement: [Tumbuka, hasEducationalStatus, taught as a subject in some Malawian schools]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEducationalStatus
Context triple: [Tumbuka, hasEducationalStatus, taught as a subject in some Malawian schools]
  • A. hasStatusInEducation
    Indicates that an entity holds a particular educational status or standing within an educational system, program, or institution.
  • B. educationStatus
    Indicates the current or achieved level, stage, or condition of an entity’s formal education.
  • C. hasEducationalProfile
    Indicates that an entity is associated with a specific educational profile, detailing its education-related characteristics, qualifications, or academic background.
  • D. hasEducationalDesignation
    Indicates that an entity holds a specific educational title, status, or classification assigned by an educational system or institution.
  • E. educatedAt
    Indicates that an entity received education or formal training at a specified institution or place of learning.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904db5748190ae5f10ae86ccdf46 completed April 10, 2026, 5:53 a.m.
PD Predicate disambiguation batch_69d85dcbacd0819094d4a1237055affa completed April 10, 2026, 2:17 a.m.
PDg Predicate description generation batch_69d87f2e67108190ac36bf47aac12fa8 completed April 10, 2026, 4:40 a.m.
Created at: April 8, 2026, 9:38 p.m.