Triple
T8807394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahatma Gandhi Institute of Medical Sciences |
E209566
|
entity |
| Predicate | offersProgram |
P178
|
FINISHED |
| Object | MS |
E219365
|
NE FINISHED |
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: MS | Statement: [Mahatma Gandhi Institute of Medical Sciences, offersProgram, MS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MS Context triple: [Mahatma Gandhi Institute of Medical Sciences, offersProgram, MS]
-
A.
MS
MS is the official two-letter United States Postal Service abbreviation for the state of Mississippi.
-
B.
MS
MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
-
C.
MS
chosen
MS is a postgraduate Master of Science degree typically focused on advanced study and research in scientific or technical disciplines.
-
D.
MS
MS is the station code for Chennai Egmore, one of the major railway terminals in Chennai, India.
-
E.
MS
MS is the New York Stock Exchange ticker symbol for Morgan Stanley, a leading global investment bank and financial services firm.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fd2fadc81908b27e9296885af2b |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6fa0e4308190bd01c2d107c8c02d |
completed | April 3, 2026, 7:43 a.m. |
Created at: March 30, 2026, 6:45 p.m.