Triple
T20794226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A World of Blue |
E511869
|
entity |
| Predicate | hasMusicalSubgenre |
P81889
|
FINISHED |
| Object | neotraditional country |
—
|
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: neotraditional country | Statement: [A World of Blue, hasMusicalSubgenre, neotraditional country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalSubgenre Context triple: [A World of Blue, hasMusicalSubgenre, neotraditional country]
-
A.
hasRockSubgenre
Indicates a relationship where one musical style is classified as a subgenre within the broader category of rock music.
-
B.
hasMusicalEnsembleGenre
Indicates that a musical ensemble is associated with or performs in a particular musical genre.
-
C.
hasNotableSubgenre
chosen
Indicates that one genre is recognized as a particularly significant or prominent subgenre of another genre.
-
D.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
E.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2abbcc8819091bb0225a0650ab6 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:39 p.m.