Triple
T22322246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RV 293 (Autumn) |
E551814
|
entity |
| Predicate | associatedSonnetLanguage |
P29869
|
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: [RV 293 (Autumn), associatedSonnetLanguage, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedSonnetLanguage Context triple: [RV 293 (Autumn), associatedSonnetLanguage, Italian]
-
A.
languageOfPoetry
chosen
Indicates that a specified language is the language in which a given piece of poetry is written or expressed.
-
B.
lyricsLanguage
Indicates the language in which the lyrics of a song or musical work are written or performed.
-
C.
mostFamousSonnet
Indicates that one entity is regarded as the most famous sonnet associated with another entity.
-
D.
notableSonnetGroup
Indicates that one entity is a notable or significant group or collection of sonnets associated with the other entity.
-
E.
hasLanguageFormOf
Indicates that one entity is a specific linguistic form, expression, or realization of the language used by another entity.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15765a004819081dcdccbfd0efea7 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.