Triple
T13565619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G. Ricordi & C. |
E324025
|
entity |
| Predicate | hasNotableCatalogue |
P65791
|
FINISHED |
| Object | 19th-century Italian opera |
—
|
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: 19th-century Italian opera | Statement: [G. Ricordi & C., hasNotableCatalogue, 19th-century Italian opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCatalogue Context triple: [G. Ricordi & C., hasNotableCatalogue, 19th-century Italian opera]
-
A.
hasNotabilityCategory
Indicates that an entity is associated with a particular category that characterizes its type or area of notability.
-
B.
hasNotableFeature
Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
-
C.
hasNotabilitySource
Indicates that there exists an external, recognized source that attests to or supports the notability or significance of the subject entity.
-
D.
hasNotableArchive
Indicates that an entity maintains or is associated with an archive that is considered significant or noteworthy.
-
E.
hasNotableCorpus
chosen
Indicates that an entity possesses a significant, well-recognized body of work, texts, or collected materials associated with it.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00cecd48190a9a2caff3d424817 |
completed | April 12, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.