Triple
T21596018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chi è questa che vèn, ch’ogn’om la mira |
E532900
|
entity |
| Predicate | lingua |
P123203
|
FINISHED |
| Object | italiano volgare |
—
|
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: italiano volgare | Statement: [Chi è questa che vèn, ch’ogn’om la mira, lingua, italiano volgare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lingua Context triple: [Chi è questa che vèn, ch’ogn’om la mira, lingua, italiano volgare]
-
A.
мова
chosen
Indicates that an entity uses, is expressed in, or is associated with a particular language.
-
B.
linguisticField
Indicates that something pertains to or is associated with a particular area or subdiscipline within linguistics.
-
C.
languageAttestedIn
Indicates that evidence exists showing the use or presence of a particular language in a specified place, time, or context.
-
D.
otherLanguage
Indicates that an entity has or uses an additional language distinct from its primary or main language.
-
E.
linguisticStudies
Indicates that an entity engages in or is associated with the academic study or analysis of language and its structure.
- 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.