Triple
T24212225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La scoperta dell'alba |
E600581
|
entity |
| Predicate | screenAdaptationLanguage |
P121206
|
FINISHED |
| Object | Italian |
—
|
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: Italian | Statement: [La scoperta dell'alba, screenAdaptationLanguage, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenAdaptationLanguage Context triple: [La scoperta dell'alba, screenAdaptationLanguage, Italian]
-
A.
navigationLanguage
Indicates the language used for navigation-related content, such as menus, directions, or interface controls.
-
B.
languageDisplays
Indicates that one entity presents, shows, or renders another entity in a particular language or linguistic form.
-
C.
languageOfAds
Indicates that the specified language is used in the advertisements associated with the given entity.
-
D.
languageVariant
Indicates that one language is a variant, dialect, or localized form of another language.
-
E.
adaptedInLanguage
chosen
Indicates that a work or content has been modified or translated so it can be presented or understood in a specified language.
- 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.