Triple

T5832360
Position Surface form Disambiguated ID Type / Status
Subject Tangier Island E129379 entity
Predicate schoolServesGrades P3870 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: [Tangier Island, schoolServesGrades, kindergarten through 12th grade]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: schoolServesGrades
Context triple: [Tangier Island, schoolServesGrades, kindergarten through 12th grade]
  • A. servesGradeLevels chosen
    Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
  • B. denotesGradeLevel
    Indicates that one entity specifies or assigns the educational grade level associated with another entity.
  • C. schoolYear
    Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
  • D. schoolBoard
    Indicates that an entity serves as or is governed by a school board responsible for overseeing educational policies and administration.
  • E. regulatesGradeLevels
    Indicates a relationship where one entity sets or enforces rules or standards governing the grade levels of another entity.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c044ab0a048190b84be40fb13c0f50 completed March 22, 2026, 7:36 p.m.
PD Predicate disambiguation batch_69c03341e5888190a5f219b6f92cb161 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:54 p.m.