Triple

T10636266
Position Surface form Disambiguated ID Type / Status
Subject Bryant University E250587 entity
Predicate offersDegree P49 FINISHED
Object MBA E2016 NE 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: MBA | Statement: [Bryant University, offersDegree, MBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBA
Context triple: [Bryant University, offersDegree, MBA]
  • A. MBA
    MBA is the three-letter IATA airport code assigned to Moi International Airport in Mombasa, Kenya.
  • B. MBA chosen
    The MBA is a prestigious graduate-level business degree designed to develop advanced leadership, management, and analytical skills for careers in business and related fields.
  • C. MSc in Management
    The MSc in Management is a graduate-level business degree focused on developing advanced analytical, research, and managerial skills for careers in academia, consulting, and organizational leadership.
  • D. Association of MBAs
    The Association of MBAs (AMBA) is an international accreditation body that evaluates and endorses postgraduate business programs, particularly MBA degrees, to ensure high standards of quality and global recognition.
  • E. BBA
    BBA is an undergraduate Bachelor of Business Administration degree program focused on foundational and applied business education.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfad9dbc81909a4f78d93ecfaa20 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bc57a8081908abd73f4273d0666 completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:04 p.m.