Triple

T3187233
Position Surface form Disambiguated ID Type / Status
Subject Ten Schools Admissions Organization E66726 entity
Predicate schoolTypePromoted P46517 FINISHED
Object college-preparatory boarding schools 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: college-preparatory boarding schools | Statement: [Ten Schools Admissions Organization, schoolTypePromoted, college-preparatory boarding schools]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: schoolTypePromoted
Context triple: [Ten Schools Admissions Organization, schoolTypePromoted, college-preparatory boarding schools]
  • A. schoolSystemType
    Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
  • B. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • C. schoolAttended
    Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other entity.
  • D. educationStatus
    Indicates the current or achieved level, stage, or condition of an entity’s formal education.
  • E. educationalStages
    Indicates the ordered levels or phases within an education system that a learner progresses through.
  • F. None of above. chosen

Provenance (4 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e279288190843837751e852c9e completed March 8, 2026, 4:42 p.m.
PD Predicate disambiguation batch_69ad9e04290481909092ddfbe6fdaabc completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada148e9108190b363dd0f1a94ac8e completed March 8, 2026, 4:18 p.m.
Created at: March 8, 2026, 3:06 p.m.