Triple
T7001507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salmo svizzero |
E162346
|
entity |
| Predicate | tipoDiTesto |
P5468
|
FINISHED |
| Object | testo religioso-patriottico |
—
|
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: testo religioso-patriottico | Statement: [Salmo svizzero, tipoDiTesto, testo religioso-patriottico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoDiTesto Context triple: [Salmo svizzero, tipoDiTesto, testo religioso-patriottico]
-
A.
textType
chosen
Indicates the classification of a text according to its type, format, or genre.
-
B.
testType
Indicates the specific category or kind of test associated with an entity or event.
-
C.
titleType
Indicates the specific category or kind of title associated with an entity (e.g., whether it is a main title, alternative title, working title, etc.).
-
D.
termType
Indicates the classification or category of a term within a system, specifying what kind of term it is (e.g., type, role, or function) in relation to others.
-
E.
spanType
Indicates the specific category or kind of span that characterizes the relationship or action between entities.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0f8830819091f4356296234713 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.