Triple
T33925376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | পৈরীমোহন |
E869734
|
entity |
| Predicate | সাহিত্যিক_ধর্ম |
P169032
|
FINISHED |
| Object | বাঙালি_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: বাঙালি_উপন্যাস | Statement: [পৈরীমোহন, সাহিত্যিক_ধর্ম, বাঙালি_উপন্যাস]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: সাহিত্যিক_ধর্ম Context triple: [পৈরীমোহন, সাহিত্যিক_ধর্ম, বাঙালি_উপন্যাস]
-
A.
religiousLiteratureType
Indicates the specific category or type of religious literature associated with an entity, such as scripture, commentary, liturgy, or devotional text.
-
B.
literarySubject
Indicates that one entity serves as the subject, topic, or focus of a literary work created by another entity.
-
C.
সাহিত্যধারা
chosen
Indicates a relationship where something is classified as belonging to a particular literary genre or literary category.
-
D.
literaryAuthor
Indicates that one entity is the author or writer of a literary work represented by the other entity.
-
E.
literaryMuseOf
Indicates a relationship in which one entity serves as the creative inspiration or muse for another entity’s literary 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_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.