Triple

T14171141
Position Surface form Disambiguated ID Type / Status
Subject EDHEC Business School E351208 entity
Predicate offersProgram P178 FINISHED
Object BBA E354520 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: BBA | Statement: [EDHEC Business School, offersProgram, BBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBA
Context triple: [EDHEC Business School, offersProgram, BBA]
  • A. BBA chosen
    BBA is an undergraduate Bachelor of Business Administration degree program focused on foundational and applied business education.
  • B. BBA
    BBA is an Indian child-rights organization founded by Nobel laureate Kailash Satyarthi, known for its campaigns against child labor and trafficking.
  • C. BBA
    BBA is the IATA airport code for Balmaceda Airport, a regional airport serving the Aysén Region in southern Chile.
  • D. BBA
    BBA is the standard abbreviation for the Blainville-Boisbriand Armada, a major junior ice hockey team in the Quebec Major Junior Hockey League (QMJHL).
  • E. MBA
    MBA is the three-letter IATA airport code assigned to Moi International Airport in Mombasa, Kenya.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf808e6088190a607903be0f2adc7 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:01 a.m.