Triple

T29882267
Position Surface form Disambiguated ID Type / Status
Subject Balboa Elementary School E758909 entity
Predicate hasSupervisionType P195857 FINISHED
Object adult-supervised learning environment 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: adult-supervised learning environment | Statement: [Balboa Elementary School, hasSupervisionType, adult-supervised learning environment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSupervisionType
Context triple: [Balboa Elementary School, hasSupervisionType, adult-supervised learning environment]
  • A. canSupervise
    Indicates that one entity has the authority or capability to oversee, direct, or manage the work or activities of another entity.
  • B. hasSupervisingOrganization
    Indicates that an entity is overseen, managed, or directed by a specific supervising organization.
  • C. supervisionStatus
    Indicates the state or condition of oversight or monitoring that one entity has over another or over a process.
  • D. supervisionOf
    Indicates that one entity oversees, directs, or manages the work, behavior, or activities of another entity.
  • E. hasAssistanceType
    Indicates that one entity provides or is associated with a specific kind or category of assistance in relation to another entity.
  • 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_69f2245de2f48190a481404896b56254 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fdec5ffe088190ac5505f26c6cff18 completed May 8, 2026, 2 p.m.
PD Predicate disambiguation batch_69fdeae15f1c81908fc63fbc1b028d2e completed May 8, 2026, 1:53 p.m.
PDg Predicate description generation batch_69fdec5f0420819087c0230ad384c4ba completed May 8, 2026, 1:59 p.m.
Created at: April 29, 2026, 5:58 p.m.