Triple
T14702877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bella Notte |
E345351
|
entity |
| Predicate | basedOnLanguagePhrase |
P115419
|
FINISHED |
| Object | Italian phrase "bella notte" meaning "beautiful night" |
—
|
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: Italian phrase "bella notte" meaning "beautiful night" | Statement: [Bella Notte, basedOnLanguagePhrase, Italian phrase "bella notte" meaning "beautiful night"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnLanguagePhrase Context triple: [Bella Notte, basedOnLanguagePhrase, Italian phrase "bella notte" meaning "beautiful night"]
-
A.
basedOnLanguageStage
Indicates that something is determined, classified, or derived according to a particular stage or level of language development or proficiency.
-
B.
hasLanguageOn
Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
-
C.
usesLanguageFor
Indicates that an entity employs a particular language as a tool or medium to perform some activity, function, or purpose.
-
D.
basedOnText
Indicates that something is derived, adapted, or developed from a specific text source.
-
E.
usesLanguageAs
Indicates that one entity communicates or operates using another entity as its language or linguistic medium.
- F. None of above. chosen
Provenance (4 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:28 a.m.