Triple
T8939849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creole Day in Dominica |
E212870
|
entity |
| Predicate | musicGenresFeatured |
P33180
|
FINISHED |
| Object | cadence-lypso |
—
|
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: cadence-lypso | Statement: [Creole Day in Dominica, musicGenresFeatured, cadence-lypso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicGenresFeatured Context triple: [Creole Day in Dominica, musicGenresFeatured, cadence-lypso]
-
A.
musicGenreBroad
Indicates that one music genre is a broader, more general category that encompasses another, more specific music genre.
-
B.
musicForGenre
Indicates that something (such as a piece, track, or work) is intended to be used as or associated with music belonging to a particular genre.
-
C.
musicBy
Indicates that a piece of music, performance, or recording is created, composed, or performed by a specified musical artist or group.
-
D.
styleOfMusic
chosen
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
E.
genreOfArtistFollowed
Indicates that the specified genre is associated with an artist whom the user follows.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b7484481909e0d7610552f5386 |
completed | April 1, 2026, 12:28 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed5267c8190a43feb2a2f3df1ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:58 p.m.