Triple

T35333337
Position Surface form Disambiguated ID Type / Status
Subject Grace Makutsi E1020385 entity
Predicate examScore P111509 FINISHED
Object 97 percent in the Botswana Secretarial College examinations 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: 97 percent in the Botswana Secretarial College examinations | Statement: [Grace Makutsi, examScore, 97 percent in the Botswana Secretarial College examinations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: examScore
Context triple: [Grace Makutsi, examScore, 97 percent in the Botswana Secretarial College examinations]
  • A. grades
    Indicates that one entity evaluates and assigns a score or level of performance to another entity.
  • B. scores chosen
    Indicates that one entity achieves or is assigned a numerical result, rating, or points in relation to another entity, such as a test, game, or evaluation.
  • C. examSystem
    Indicates a relationship where an entity functions as or belongs to an examination system, such as a framework or platform for creating, administering, or managing exams.
  • D. exam
    Indicates that an entity administers, takes, or is associated with a formal test or assessment of knowledge, skills, or performance.
  • E. gradingSystem
    Indicates the method or criteria by which performance, quality, or achievement is evaluated and assigned a grade or score.
  • 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_69f76deacf4481908e7735a5a7715b0a completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79533b88c8190934ec4cb21770e24 completed May 3, 2026, 6:34 p.m.
PD Predicate disambiguation batch_69f79104f5b48190a496cdffde8472da completed May 3, 2026, 6:16 p.m.
Created at: May 3, 2026, 4:03 p.m.