Triple
T21596022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chi è questa che vèn, ch’ogn’om la mira |
E532900
|
entity |
| Predicate | formaMetrica |
P142894
|
FINISHED |
| Object | sonetto di 14 versi |
—
|
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: sonetto di 14 versi | Statement: [Chi è questa che vèn, ch’ogn’om la mira, formaMetrica, sonetto di 14 versi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formaMetrica Context triple: [Chi è questa che vèn, ch’ogn’om la mira, formaMetrica, sonetto di 14 versi]
-
A.
metricForm
Indicates that one entity is expressed or represented in a particular metric form or measurement format relative to another.
-
B.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
C.
metricalFeature
Indicates a relationship where one entity specifies or characterizes a metrical property or pattern of another entity.
-
D.
meterForm
chosen
Indicates that one entity is the specific metrical pattern or verse form in which another entity (such as a poem or song) is composed.
-
E.
formationDimension
Indicates the dimensional characteristics (such as size, scale, or extent) associated with the formation of something.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae15a7c819081627450ae726b0b |
completed | April 27, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:32 p.m.