Triple
T25656222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | জব্বার |
E643242
|
entity |
| Predicate | নামের_ব্যবহার |
P42471
|
FINISHED |
| Object | ব্যক্তি সনাক্তকরণ |
—
|
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: ব্যক্তি সনাক্তকরণ | Statement: [জব্বার, নামের_ব্যবহার, ব্যক্তি সনাক্তকরণ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: নামের_ব্যবহার Context triple: [জব্বার, নামের_ব্যবহার, ব্যক্তি সনাক্তকরণ]
-
A.
usesNameDueTo
Indicates that one entity adopts or applies a particular name for another entity specifically because of some motivating reason, circumstance, or dependency.
-
B.
nameUsedIn
Indicates that a particular name is employed or referenced within a specified context, work, or usage setting.
-
C.
oftenUsedAsNameFor
Indicates that something frequently serves as a name or designation for another entity.
-
D.
nameUsedFor
chosen
Indicates that a particular name is used to refer to or designate a given entity.
-
E.
usedInNamingPractice
Indicates that something serves as a basis, source, or reference in the practice of assigning names.
- 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f600c18a14819081b5914dd3b0f9cf |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 6:33 p.m.