Triple
T20547580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NEET-UG |
E504511
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NEET-UG |
—
|
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: NEET-UG | Statement: [NEET-UG, abbreviation, NEET-UG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NEET-UG Context triple: [NEET-UG, abbreviation, NEET-UG]
-
A.
NEET-UG
chosen
NEET-UG is India’s national-level entrance examination for undergraduate medical and dental courses such as MBBS and BDS.
-
B.
NEET-PG
NEET-PG is a national-level entrance examination in India for admission to postgraduate medical degree programs such as MD, MS, and PG Diploma courses.
-
C.
AIIMS Bhubaneswar
AIIMS Bhubaneswar is a premier government medical institute and hospital in Bhubaneswar, Odisha, offering advanced healthcare services, medical education, and research.
-
D.
MBBS
MBBS is an undergraduate professional medical degree that qualifies graduates to practice as physicians and pursue clinical and postgraduate medical training.
-
E.
BHU
BHU is a major public central university in Varanasi, India, renowned for its large residential campus and comprehensive range of academic disciplines.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2991ac8819089b8c2d70eb88952 |
completed | April 20, 2026, 10:03 p.m. |
Created at: April 16, 2026, 11:38 a.m.