Triple

T11620057
Position Surface form Disambiguated ID Type / Status
Subject National Institute of Open Schooling E275613 entity
Predicate modeOfEducation P40336 FINISHED
Object Open schooling 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: Open schooling | Statement: [National Institute of Open Schooling, modeOfEducation, Open schooling]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modeOfEducation
Context triple: [National Institute of Open Schooling, modeOfEducation, Open schooling]
  • A. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • B. hasModeOfStudy chosen
    Indicates the method or format by which an entity (typically a learner) undertakes their studies, such as full-time, part-time, online, or in-person.
  • C. educationStatus
    Indicates the current or achieved level, stage, or condition of an entity’s formal education.
  • D. mediumOfInstruction
    Indicates that a particular language or medium is used as the primary means of instruction or teaching in an educational context.
  • E. fieldOfEducationCode
    Indicates the specific area or discipline of study associated with an entity, represented by a standardized education field code.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1206f1c81908d92024ef71958c0 completed April 10, 2026, 7:05 a.m.
PD Predicate disambiguation batch_69d85dd6503c819081f9045e9d5c4f3f completed April 10, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:38 p.m.