Triple
T33637154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Foreign Language Film (India's official entry) |
E861728
|
entity |
| Predicate | numberOfSubmissionsPerYear |
—
|
GENERATED |
| Object | one 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: numberOfSubmissionsPerYear Context triple: [Academy Award for Best Foreign Language Film (India's official entry), numberOfSubmissionsPerYear, one film]
-
A.
numberOfSubmissions
Indicates the total count of submissions associated with a given entity or context.
-
B.
hasNumberOfOccurrencesPerYear
chosen
Indicates the relationship that specifies how many times something happens within a one-year period.
-
C.
numberOfReleasesPerYear
Indicates the quantity of releases that occur within a single year.
-
D.
finalReportSubmissionYear
Indicates the calendar year in which the final report is formally submitted.
-
E.
acceptsSubmissionsFrom
Indicates that one entity receives and is willing to consider submissions (such as content, proposals, or applications) originating from another entity.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:42 a.m.