Triple
T36918106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noz w wodzie |
E913098
|
entity |
| Predicate | firstPolishFilmNominatedForOscar |
—
|
GENERATED |
| Object | true |
—
|
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: firstPolishFilmNominatedForOscar Context triple: [Noz w wodzie, firstPolishFilmNominatedForOscar, true]
-
A.
nominatedFilmCountryOfOrigin
Indicates that a nominated film originates from, or is primarily associated with, a particular country.
-
B.
firstAwardedForFilm
Indicates the film for which an entity (such as a person or award) was first given or received an award.
-
C.
precedenceWithinPolishAwards
Indicates the relative order of importance or seniority between Polish awards within the national system of honors.
-
D.
academyAwardBestForeignLanguageFilmNomination
chosen
Indicates that a film received a nomination for the Academy Award for Best Foreign Language Film.
-
E.
notableWinningFilm
Indicates that a film has achieved notable recognition by winning a significant award or competition.
- 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.