Triple
T23227460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I vespri siciliani |
E581051
|
entity |
| Predicate | revisedLanguage |
P89520
|
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: [I vespri siciliani, revisedLanguage, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revisedLanguage Context triple: [I vespri siciliani, revisedLanguage, Italian]
-
A.
revisedVersionLanguage
chosen
Indicates that one entity is a revised version of another, specifically with respect to its language or linguistic form.
-
B.
editedLanguage
Indicates that one entity has revised, modified, or otherwise edited the language or linguistic content of another entity.
-
C.
revisedSetting
Indicates that an existing setting or configuration has been modified or updated from its previous state.
-
D.
revisedByStandard
Indicates that something has been updated or modified in accordance with a specified standard or set of standards.
-
E.
remakeLanguage
Indicates that one entity creates a new version or adaptation of another entity in a different 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922f5b4081908145d66ea7534493 |
completed | April 29, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:09 p.m.