Triple

T13543423
Position Surface form Disambiguated ID Type / Status
Subject UNISA Graduate School of Business Leadership E323448 entity
Predicate offersProgram P178 FINISHED
Object DBL
DBL is a doctoral-level business leadership program focused on advanced management and leadership studies.
 E1046428 NE FINISHED

How this triple was built (4 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: DBL | Statement: [UNISA Graduate School of Business Leadership, offersProgram, DBL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DBL
Context triple: [UNISA Graduate School of Business Leadership, offersProgram, DBL]
  • A. DBL
    DBL is the vehicle registration code assigned to motor vehicles registered in Bolesławiec, a town in southwestern Poland.
  • B. DBU
    DBU is the Danish Football Association, the governing body responsible for organizing and overseeing football activities and national teams in Denmark.
  • C. DBR
    DBR is the IATA airport code for Darbhanga Airport in Bihar, India.
  • D. DB1
    DB1 is the stock ticker symbol for Deutsche Börse AG, a major German exchange organization that operates the Frankfurt Stock Exchange and related financial market infrastructure.
  • E. BDB
    BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DBL
Triple: [UNISA Graduate School of Business Leadership, offersProgram, DBL]
Generated description
DBL is a doctoral-level business leadership program focused on advanced management and leadership studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DBL
Target entity description: DBL is a doctoral-level business leadership program focused on advanced management and leadership studies.
  • A. DBL
    DBL is the vehicle registration code assigned to motor vehicles registered in Bolesławiec, a town in southwestern Poland.
  • B. DBU
    DBU is the Danish Football Association, the governing body responsible for organizing and overseeing football activities and national teams in Denmark.
  • C. DBR
    DBR is the IATA airport code for Darbhanga Airport in Bihar, India.
  • D. DB1
    DB1 is the stock ticker symbol for Deutsche Börse AG, a major German exchange organization that operates the Frankfurt Stock Exchange and related financial market infrastructure.
  • E. BDB
    BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
  • F. None of above. chosen

Provenance (5 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafda36248190acabde65a88c5471 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da094288190aff108b006c3da1f completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75f2c645481909c3e5ecdd239965d completed May 3, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69f75f8e9b608190830ab942098a798c completed May 3, 2026, 2:45 p.m.
Created at: April 9, 2026, 9:45 p.m.