Triple

T2456384
Position Surface form Disambiguated ID Type / Status
Subject South Brunswick School District E54430 entity
Predicate hasGradeRange P27293 FINISHED
Object kindergarten through 12th grade 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 through 12th grade | Statement: [South Brunswick School District, hasGradeRange, kindergarten through 12th grade]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGradeRange
Context triple: [South Brunswick School District, hasGradeRange, kindergarten through 12th grade]
  • A. isGradeWithin
    Indicates that a given grade value falls within a specified acceptable or defined grade range.
  • B. hasGradeCount
    Indicates a relationship where an entity is associated with the number of grades it has or has received.
  • C. hasGrades
    Indicates that an entity possesses or is associated with one or more grade values, typically reflecting evaluations or scores.
  • D. hasGradeWithinOrder
    Indicates that one entity’s grade or rank falls within a specified ordered range or position relative to another entity.
  • E. hasRange chosen
    Indicates that a property or relation is constrained to take its values from a specified class, type, or value set.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd49c5aa081909ab4f726a458b77f completed March 7, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69abd0b199488190aa381b36593ae1ac completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:44 p.m.