Triple

T681893
Position Surface form Disambiguated ID Type / Status
Subject MicroMasters programs E13199 entity
Predicate costModel P17476 FINISHED
Object fee-based enrollment 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: fee-based enrollment | Statement: [MicroMasters programs, costModel, fee-based enrollment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: costModel
Context triple: [MicroMasters programs, costModel, fee-based enrollment]
  • A. costToUser
    Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
  • B. estimatedCost
    Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
  • C. reducedCostOf
    Indicates that one entity represents a lowered or discounted cost associated with another entity, typically compared to a standard or original price.
  • D. acquisitionCost
    Indicates the monetary amount or value required to obtain or purchase an entity.
  • E. constructionCost
    Indicates the monetary or resource expenditure required to build or construct something.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a06f9ee88190a2d757aacd8e3f5b completed March 1, 2026, 8:24 p.m.
PD Predicate disambiguation batch_69a49d1d79608190a849ba9ffad2879d completed March 1, 2026, 8:10 p.m.
PDg Predicate description generation batch_69a49df19c9481909cc9bc33ed7f011b completed March 1, 2026, 8:13 p.m.
Created at: March 1, 2026, 7:36 p.m.