Triple

T1050916
Position Surface form Disambiguated ID Type / Status
Subject Cumming v. Richmond County Board of Education E22695 entity
Predicate educationLevelInvolved P8825 FINISHED
Object high school 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: high school | Statement: [Cumming v. Richmond County Board of Education, educationLevelInvolved, high school]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationLevelInvolved
Context triple: [Cumming v. Richmond County Board of Education, educationLevelInvolved, high school]
  • A. educationLevelAtIssue chosen
    Indicates that the relationship concerns the specific level of education being questioned, disputed, or otherwise central to a particular issue or context.
  • B. educationLevelCharacteristic
    Indicates that one entity specifies, describes, or constrains the education level associated with another entity.
  • C. educatedAt
    Indicates that an entity received education or formal training at a specified institution or place of learning.
  • D. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • E. requiresEducation
    Indicates that performing or holding the related role, activity, or position depends on having a specified level or type of education.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8b40d50819091cb37a2236e82ee completed March 1, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69a4b7309cc481908ed839b0b8d75dbf completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.