Triple
T30263893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | বনলতা সেন |
E769578
|
entity |
| Predicate | সাহিত্য_ধারা |
P169032
|
FINISHED |
| Object | বাঙালি আধুনিকতাবাদী কবিতা |
—
|
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: বাঙালি আধুনিকতাবাদী কবিতা | Statement: [বনলতা সেন, সাহিত্য_ধারা, বাঙালি আধুনিকতাবাদী কবিতা]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: সাহিত্য_ধারা Context triple: [বনলতা সেন, সাহিত্য_ধারা, বাঙালি আধুনিকতাবাদী কবিতা]
-
A.
সাহিত্যধারা
chosen
Indicates a relationship where something is classified as belonging to a particular literary genre or literary category.
-
B.
literarySeries
Indicates that one work is part of, or belongs to, a larger literary series that connects multiple related works.
-
C.
literarySeriesGenre
Indicates that a literary series belongs to or is categorized under a particular genre.
-
D.
literarySeriesType
Indicates the specific kind or category of a literary series that an entity belongs to or is characterized as.
-
E.
literarySeriesSubject
Indicates that a work is part of, or concerns, a particular literary series as its subject.
- 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_69f22484a5f48190b678cd607700bc82 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 7:42 p.m.