Triple
T33925374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | পৈরীমোহন |
E869734
|
entity |
| Predicate | প্রকাশের_মাধ্যম |
P85369
|
FINISHED |
| Object | মুদ্রিত_উপন্যাস |
—
|
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: মুদ্রিত_উপন্যাস | Statement: [পৈরীমোহন, প্রকাশের_মাধ্যম, মুদ্রিত_উপন্যাস]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: প্রকাশের_মাধ্যম Context triple: [পৈরীমোহন, প্রকাশের_মাধ্যম, মুদ্রিত_উপন্যাস]
-
A.
circulationMedium
Indicates the medium or channel through which something (such as information, materials, or currency) is distributed, transmitted, or made to move.
-
B.
hasPublicationMedium
chosen
Indicates the medium or channel through which a work or publication is disseminated or made available.
-
C.
mediaOutletType
Indicates the classification of a media outlet according to its type or format (e.g., newspaper, TV channel, online platform).
-
D.
informationMedium
Indicates the medium or channel through which information is conveyed or communicated between entities.
-
E.
manuscriptMedium
Indicates the material or physical medium on which a manuscript is written or produced.
- 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.