Triple

T17397876
Position Surface form Disambiguated ID Type / Status
Subject Baba Raghav Das Medical College E422999 entity
Predicate offersProgram P178 FINISHED
Object MBBS NE NERFINISHED

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: MBBS | Statement: [Baba Raghav Das Medical College, offersProgram, MBBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBBS
Context triple: [Baba Raghav Das Medical College, offersProgram, MBBS]
  • A. MBBS chosen
    MBBS is an undergraduate professional medical degree that qualifies graduates to practice as physicians and pursue clinical and postgraduate medical training.
  • B. Doctor of Medicine
    The Doctor of Medicine is a professional doctoral degree qualifying individuals to practice as physicians and conduct advanced clinical or medical research.
  • C. NEET-UG
    NEET-UG is India’s national-level entrance examination for undergraduate medical and dental courses such as MBBS and BDS.
  • D. Medical School
    Medical School is the medical faculty of the University of Pécs in Hungary, offering education and training in medicine and related health sciences.
  • E. BSMS
    BSMS is a UK medical school formed as a partnership between the University of Brighton and the University of Sussex, offering undergraduate and postgraduate medical education and research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43abe6f708190944aad636e1eb9a1 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.