Triple

T4832971
Position Surface form Disambiguated ID Type / Status
Subject Virginia K-12 school divisions E107987 entity
Predicate includesGrade P1393 FINISHED
Object kindergarten 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: kindergarten | Statement: [Virginia K-12 school divisions, includesGrade, kindergarten]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesGrade
Context triple: [Virginia K-12 school divisions, includesGrade, kindergarten]
  • A. isGradeWithin
    Indicates that a given grade value falls within a specified acceptable or defined grade range.
  • B. includes chosen
    Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
  • C. includedBy
    Indicates that one entity is contained within, encompassed by, or treated as a subset or member of another entity.
  • D. typicalGradesInclude
    Indicates that a set of commonly expected or standard grades for something contains the specified grade or grades.
  • E. isGradeOf
    Indicates that one entity is the grade or evaluation assigned to another entity, such as a student, assignment, or performance.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ff981fc819080d4466c6fe06cf3 completed March 20, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69bd6c21c7f08190846049d31fdfa144 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:24 p.m.