Triple

T6825075
Position Surface form Disambiguated ID Type / Status
Subject Master of Fine Arts E156993 entity
Predicate typicalRequirement P73266 FINISHED
Object bachelor’s degree 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: bachelor’s degree | Statement: [Master of Fine Arts, typicalRequirement, bachelor’s degree]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalRequirement
Context triple: [Master of Fine Arts, typicalRequirement, bachelor’s degree]
  • A. typicalServiceRequirement
    Indicates that a certain condition, resource, or specification is normally needed or expected for a service to be properly provided or operated.
  • B. evaluationRequirement
    Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
  • C. establishedRequirement
    Indicates that one entity has formally set or defined a requirement that another entity is expected to satisfy or comply with.
  • D. typeOfRequirement
    Indicates that one requirement is classified as a specific kind or category of another, more general requirement.
  • E. maintenanceRequirement
    Indicates that an entity is obligated to perform, schedule, or adhere to specific maintenance activities or conditions for another entity or system.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d581ea5881908ba78c6bf1ce58ee completed March 27, 2026, 7:07 p.m.
PD Predicate disambiguation batch_69c6d09bb4f881909bf20c188cb3e8e1 completed March 27, 2026, 6:46 p.m.
PDg Predicate description generation batch_69c6d1d5f1908190989efc8a2d18c965 completed March 27, 2026, 6:52 p.m.
Created at: March 27, 2026, 2:18 p.m.