Triple

T20317408
Position Surface form Disambiguated ID Type / Status
Subject Rangpur E510413 entity
Predicate hasMedicalCollege P13371 FINISHED
Object Rangpur Medical College 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: Rangpur Medical College | Statement: [Rangpur, hasMedicalCollege, Rangpur Medical College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rangpur Medical College
Context triple: [Rangpur, hasMedicalCollege, Rangpur Medical College]
  • A. Chittagong Medical College
    Chittagong Medical College is a major public medical school and teaching hospital in Chittagong, Bangladesh, known for training physicians and providing tertiary healthcare services.
  • B. Rajshahi Medical College
    Rajshahi Medical College is a major public medical school and teaching hospital in Rajshahi, Bangladesh, known for training physicians and providing tertiary healthcare services to the region.
  • C. Dhaka Medical College
    Dhaka Medical College is a leading public medical institution in Dhaka, Bangladesh, historically renowned as a central hub of student activism and political movements, including the Bengali Language Movement.
  • D. Sher-e-Bangla Medical College
    Sher-e-Bangla Medical College is a major public medical school and teaching hospital in Barisal, Bangladesh, known for training physicians and providing tertiary healthcare services to the region.
  • E. Mymensingh Medical College
    Mymensingh Medical College is a public medical school in Mymensingh, Bangladesh, known for training physicians and providing tertiary healthcare services.
  • 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: Rangpur Medical College
Target entity description: Rangpur Medical College is a government medical institution in Rangpur, Bangladesh, that provides undergraduate and postgraduate medical education and healthcare services.
  • A. Chittagong Medical College
    Chittagong Medical College is a major public medical school and teaching hospital in Chittagong, Bangladesh, known for training physicians and providing tertiary healthcare services.
  • B. Rajshahi Medical College
    Rajshahi Medical College is a major public medical school and teaching hospital in Rajshahi, Bangladesh, known for training physicians and providing tertiary healthcare services to the region.
  • C. Dhaka Medical College
    Dhaka Medical College is a leading public medical institution in Dhaka, Bangladesh, historically renowned as a central hub of student activism and political movements, including the Bengali Language Movement.
  • D. Sher-e-Bangla Medical College
    Sher-e-Bangla Medical College is a major public medical school and teaching hospital in Barisal, Bangladesh, known for training physicians and providing tertiary healthcare services to the region.
  • E. Mymensingh Medical College
    Mymensingh Medical College is a public medical school in Mymensingh, Bangladesh, known for training physicians and providing tertiary healthcare services.
  • F. None of above. chosen

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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67788ca3c8190a3496fd54a5870d6 completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:19 a.m.