Triple
T21596037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chi è questa che vèn, ch’ogn’om la mira |
E532900
|
entity |
| Predicate | campoSemantico |
P91671
|
FINISHED |
| Object | luce |
—
|
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: luce | Statement: [Chi è questa che vèn, ch’ogn’om la mira, campoSemantico, luce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campoSemantico Context triple: [Chi è questa che vèn, ch’ogn’om la mira, campoSemantico, luce]
-
A.
семантическоеПоле
chosen
Indicates that entities are related by belonging to the same semantic field, i.e., they share a common area of meaning or conceptual domain.
-
B.
fieldComponent
Indicates that one entity functions as a constituent or sub-part within a larger field or domain defined by another entity.
-
C.
campo
Indicates that an entity is associated with, located in, or characterized by a particular field, area, or domain (often geographic or topical).
-
D.
canonicalField
Indicates that one field is the primary or standard representation among a set of related fields, serving as the authoritative or preferred version.
-
E.
fieldRepresents
Indicates that one field or attribute stands for, encodes, or symbolizes another concept, value, or 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_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.