Triple
T7531681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | बरामती |
E178036
|
entity |
| Predicate | प्रमुख शैक्षणिक क्षेत्र |
P48900
|
FINISHED |
| Object | कृषी शिक्षण |
—
|
LITERAL 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: कृषी शिक्षण | Statement: [बरामती, प्रमुख शैक्षणिक क्षेत्र, कृषी शिक्षण]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: प्रमुख शैक्षणिक क्षेत्र Context triple: [बरामती, प्रमुख शैक्षणिक क्षेत्र, कृषी शिक्षण]
-
A.
educationField
chosen
Indicates the academic or professional discipline in which an entity has been educated or trained.
-
B.
fieldOfEducationCode
Indicates the specific area or discipline of study associated with an entity, represented by a standardized education field code.
-
C.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
D.
regionOfAcademicFocus
Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
-
E.
fieldOfSignificance
Indicates that something holds particular importance, relevance, or impact within a specified domain, context, or area of interest.
- F. None of above.
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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84753fc81908bee2013004ef5fb |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.