Triple
T24212224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La scoperta dell'alba |
E600581
|
entity |
| Predicate | screenAdaptationCountry |
P21186
|
FINISHED |
| Object | Italy |
—
|
NE NERFINISHED |
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: Italy | Statement: [La scoperta dell'alba, screenAdaptationCountry, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenAdaptationCountry Context triple: [La scoperta dell'alba, screenAdaptationCountry, Italy]
-
A.
screenAdaptationFrom
Indicates that a screen-based work (such as a film or TV show) is an adaptation derived from another source work.
-
B.
screenAdaptationOfGenre
Indicates that a screen production (such as a film or TV show) is an adaptation of a work belonging to a specified genre.
-
C.
adaptationCountry
chosen
Indicates the country in which an adaptation (such as a remake, translation, or localized version) of an original work is produced or set.
-
D.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
-
E.
mediaAdaptationSettingOf
Indicates that a media adaptation (such as a film, series, or game) is set in the narrative world or environment of a particular original 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_69e2953344c48190875730c7d52112a0 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f2820401bc81909ae1837b41c85526 |
completed | April 29, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:55 p.m.