Triple
T35004066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Settima Domenica di Pasqua |
E1009761
|
entity |
| Predicate | linguaDiDenominazione |
P15
|
FINISHED |
| Object | italiano |
—
|
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: italiano | Statement: [Settima Domenica di Pasqua, linguaDiDenominazione, italiano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguaDiDenominazione Context triple: [Settima Domenica di Pasqua, linguaDiDenominazione, italiano]
-
A.
eraNameLanguage
Indicates the language in which an era name is expressed or recorded.
-
B.
hasDemonymLanguage
Indicates that a language is used as the demonym (people’s name or adjective of nationality) for inhabitants of a particular place or group.
-
C.
languageOfWorkOrName
chosen
Indicates the language in which a work is created or a name is expressed.
-
D.
legalDesignationLanguage
Indicates the language in which a legal designation, status, or title is formally expressed or recorded.
-
E.
hasLanguageOfToponym
Indicates that a place name (toponym) is expressed in or associated with a particular 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.