Triple
T29271470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BFJA Award |
E742127
|
entity |
| Predicate | notableLanguageCategory |
—
|
GENERATED |
| Object | Best Bengali Film |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLanguageCategory Context triple: [BFJA Award, notableLanguageCategory, Best Bengali Film]
-
A.
notableLanguageGroup
Indicates that there is a significant or noteworthy association between an entity and a particular language group.
-
B.
notableLanguageOfActivity
Indicates that a language is prominently used or recognized in connection with a particular activity or domain of activity.
-
C.
notableLanguageOfWorks
chosen
Indicates that a particular language is especially prominent or significant among the works created by an entity.
-
D.
languageCategory
Indicates the classification relationship where a language is assigned to a particular linguistic or functional category.
-
E.
notableProgrammingCategory
Indicates that an entity is recognized as belonging to a significant or distinguished category within the domain of programming.
- F. None of above.
Provenance (1 batch)
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_69f0912124d48190a046642b69407f4c |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 28, 2026, 12:48 p.m.