Triple

T12679372
Position Surface form Disambiguated ID Type / Status
Subject Common Admission Test E302904 entity
Predicate targetProgram P2192 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: [Common Admission Test, targetProgram, MBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBA
Context triple: [Common Admission Test, targetProgram, MBA]
  • A. 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.
  • B. MBA
    MBA is the three-letter IATA airport code assigned to Moi International Airport in Mombasa, Kenya.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961b1dff48190923290555ece5d89 completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a54b008190b02f9585d6c6ff77 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.