Triple
T19669705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundelkhand Medical College |
E472300
|
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: [Bundelkhand Medical College, offersProgram, MBBS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MBBS Context triple: [Bundelkhand 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416ad1b481908d2890d8c21aac5c |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.