Triple
T33925357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | বিনয় |
E869733
|
entity |
| Predicate | ধর্মীয়_প্রশ্নে_অবস্থান |
P47348
|
FINISHED |
| Object | উদার |
—
|
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: উদার | Statement: [বিনয়, ধর্মীয়_প্রশ্নে_অবস্থান, উদার]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ধর্মীয়_প্রশ্নে_অবস্থান Context triple: [বিনয়, ধর্মীয়_প্রশ্নে_অবস্থান, উদার]
-
A.
positionInReligion
Indicates the specific role, rank, or office an entity holds within a religious organization or tradition.
-
B.
religiousTopicAddressed
chosen
Indicates that a subject deals with, discusses, or focuses on a religious theme, issue, or question.
-
C.
religiousTextStatus
Indicates the status or role that a text holds within a religious tradition, such as whether it is considered sacred, canonical, apocryphal, or otherwise classified.
-
D.
positionOnStateReligion
Indicates a stance or viewpoint regarding the role, status, or legitimacy of an official state religion.
-
E.
religiousResponse
Indicates a reaction, behavior, or expression that is specifically motivated by, shaped by, or directed toward religious beliefs, practices, or experiences.
- 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_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:49 a.m.