Triple

T19790539
Position Surface form Disambiguated ID Type / Status
Subject University of Dar es Salaam E475396 entity
Predicate hasFaculty P141 FINISHED
Object University of Dar es Salaam Business School NE NERFINISHED

How this triple was built (3 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: University of Dar es Salaam Business School | Statement: [University of Dar es Salaam, hasFaculty, University of Dar es Salaam Business School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Dar es Salaam Business School
Context triple: [University of Dar es Salaam, hasFaculty, University of Dar es Salaam Business School]
  • A. University of Dar es Salaam
    The University of Dar es Salaam is Tanzania’s oldest and largest public university, recognized as a leading center for higher education and research in East Africa.
  • B. University of Dodoma
    The University of Dodoma is a major public university in Tanzania’s capital city, known for its large campus and broad range of academic programs.
  • C. Malawi University of Business and Applied Sciences
    Malawi University of Business and Applied Sciences is a public higher education institution in Malawi specializing in business, commerce, and applied science programs.
  • D. Confucius Institute at the University of Dar es Salaam
    The Confucius Institute at the University of Dar es Salaam is a Chinese language and culture education center established in partnership with Chinese institutions to promote academic and cultural exchange in Tanzania.
  • E. Maseno University
    Maseno University is a public university in Kenya known for its comprehensive academic programs and research, particularly serving students in the western Nyanza region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: University of Dar es Salaam Business School
Target entity description: The University of Dar es Salaam Business School is a leading Tanzanian institution offering undergraduate and postgraduate education and research in business, management, and related fields.
  • A. University of Dar es Salaam chosen
    The University of Dar es Salaam is Tanzania’s oldest and largest public university, recognized as a leading center for higher education and research in East Africa.
  • B. University of Dodoma
    The University of Dodoma is a major public university in Tanzania’s capital city, known for its large campus and broad range of academic programs.
  • C. Malawi University of Business and Applied Sciences
    Malawi University of Business and Applied Sciences is a public higher education institution in Malawi specializing in business, commerce, and applied science programs.
  • D. Confucius Institute at the University of Dar es Salaam
    The Confucius Institute at the University of Dar es Salaam is a Chinese language and culture education center established in partnership with Chinese institutions to promote academic and cultural exchange in Tanzania.
  • E. Maseno University
    Maseno University is a public university in Kenya known for its comprehensive academic programs and research, particularly serving students in the western Nyanza region.
  • F. None of above.

Provenance (2 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c217bc819092c517b27ca22087 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.