Triple
T24521658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Accademia Nazionale di Santa Cecilia |
E606545
|
entity |
| Predicate | grantedTitleIn |
P3622
|
FINISHED |
| Object | 1838 |
—
|
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: 1838 | Statement: [Accademia Nazionale di Santa Cecilia, grantedTitleIn, 1838]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedTitleIn Context triple: [Accademia Nazionale di Santa Cecilia, grantedTitleIn, 1838]
-
A.
grantedIn
Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
-
B.
confersTitle
chosen
Indicates that one entity grants or bestows an official title or designation upon another entity.
-
C.
authorizedByTitle
Indicates that an action or permission is granted based on a person’s role, position, or formal title rather than on individual identity.
-
D.
grantedAs
Indicates that one entity is conferred, assigned, or bestowed in a particular role, status, or capacity to another entity.
-
E.
grantedSpaTitle
Indicates that an authority formally conferred a specific spa-related title or designation upon an 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_69e2c4c85778819085f5da9af3569ad5 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:24 a.m.