Triple

T36128816
Position Surface form Disambiguated ID Type / Status
Subject Yellow Belt E1044957 entity
Predicate mayIncludeAssessment P170071 FINISHED
Object multiple-choice exam 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: multiple-choice exam | Statement: [Yellow Belt, mayIncludeAssessment, multiple-choice exam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayIncludeAssessment
Context triple: [Yellow Belt, mayIncludeAssessment, multiple-choice exam]
  • A. mayBeAssessedOn
    Indicates that an entity is potentially subject to evaluation, measurement, or judgment based on another entity or criterion.
  • B. requiresAssessmentOf
    Indicates that one entity necessitates an evaluation, review, or judgment to be performed on another entity before proceeding or fulfilling a condition.
  • C. mayAlsoInclude chosen
    Indicates that something can optionally contain or encompass additional elements beyond those primarily specified.
  • D. requiresAssessmentBy
    Indicates that one entity must be formally evaluated, reviewed, or judged by another specified entity before proceeding or being accepted.
  • E. mayIncludeRequirement
    Indicates that something can optionally contain or encompass a particular requirement as part of its definition or structure.
  • 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_69f76e356c908190abc6ca1e6a05b011 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b3e2f3c08190be4fd1ae4fa1266d completed May 3, 2026, 8:45 p.m.
PD Predicate disambiguation batch_69f7b1bcc47081909fe7d592ac69006c completed May 3, 2026, 8:36 p.m.
Created at: May 3, 2026, 4:08 p.m.