Triple
T33925353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | বিনয় |
E869733
|
entity |
| Predicate | বিষয়বস্তুতে_ভূমিকা |
P175048
|
FINISHED |
| Object | ধর্মীয়_সহনশীলতা_ও_মানবতাবাদ_প্রকাশ |
—
|
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: ধর্মীয়_সহনশীলতা_ও_মানবতাবাদ_প্রকাশ | Statement: [বিনয়, বিষয়বস্তুতে_ভূমিকা, ধর্মীয়_সহনশীলতা_ও_মানবতাবাদ_প্রকাশ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: বিষয়বস্তুতে_ভূমিকা Context triple: [বিনয়, বিষয়বস্তুতে_ভূমিকা, ধর্মীয়_সহনশীলতা_ও_মানবতাবাদ_প্রকাশ]
-
A.
भूमिका
chosen
Indicates a relationship where an entity serves, functions, or acts in a particular capacity or role with respect to another entity or context.
-
B.
has part in role
Indicates that an entity participates as a component or constituent specifically in a defined role within a larger whole or process.
-
C.
نمایاں_کردار
Indicates a relationship where an entity plays a prominent or significant role in relation to another entity or context.
-
D.
playedKeyRoleIn
Indicates that an entity had a major, influential, or decisive impact on the occurrence, outcome, or success of another entity or event.
-
E.
narrativeRoleInSeries
Indicates the specific narrative function or role an entity plays within a particular series or serialized work.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.