Triple

T1859600
Position Surface form Disambiguated ID Type / Status
Subject LLB E41784 entity
Predicate typicalEntryRequirement P15052 FINISHED
Object completion of secondary 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: completion of secondary education | Statement: [LLB, typicalEntryRequirement, completion of secondary education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalEntryRequirement
Context triple: [LLB, typicalEntryRequirement, completion of secondary education]
  • A. typicalDegree
    Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
  • B. typicalCourse
    Indicates that one entity is a standard or commonly taken course associated with another entity, such as a program, curriculum, or field of study.
  • C. evaluationRequirement
    Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
  • D. requiresEducation chosen
    Indicates that performing or holding the related role, activity, or position depends on having a specified level or type of education.
  • E. eligibilityCriteria
    Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb231de14819091da3a20ed03c430 completed March 7, 2026, 5:05 a.m.
PD Predicate disambiguation batch_69abafde4598819099d8229128348fd3 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:33 p.m.