Triple
T13662288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europa riconosciuta |
E327026
|
entity |
| Predicate | librettistNationality |
P111049
|
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: [Europa riconosciuta, librettistNationality, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: librettistNationality Context triple: [Europa riconosciuta, librettistNationality, Italian]
-
A.
coAuthorOfLibrettoWith
Indicates that two or more individuals collaborated in writing the same libretto.
-
B.
librettistOfSuorAngelica
Indicates that one entity is the librettist who wrote the libretto for the opera *Suor Angelica*.
-
C.
musicalTheatreComposer
Indicates that a person composes music specifically for musical theatre productions.
-
D.
originalLanguageOfLibretto
Indicates the language in which a libretto was originally written for a given work.
-
E.
associatedComposerNationality
Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
- F. None of above. chosen
Provenance (4 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc620df208190afaccf3ddd10aa60 |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:52 p.m.