Triple
T10240941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amarillo |
E243588
|
entity |
| Predicate | belongsToMusicGenre |
P62560
|
FINISHED |
| Object | Latin urban |
—
|
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: Latin urban | Statement: [Amarillo, belongsToMusicGenre, Latin urban]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToMusicGenre Context triple: [Amarillo, belongsToMusicGenre, Latin urban]
-
A.
belongsToWorkGenre
chosen
Indicates that a creative work is classified under or associated with a particular genre.
-
B.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
C.
genreAssociatedWith
Indicates a relationship where a work, item, or entity is linked to or categorized under a particular genre.
-
D.
hasArtistGenre
Indicates that an artist is associated with or categorized under a particular musical or artistic genre.
-
E.
genreAsModel
Indicates that one entity serves as a genre-based template or stylistic model for another 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d328272c8190a3548d7f7f38cfc4 |
completed | April 7, 2026, 9:49 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ebd6c88190a1f3f4a72a99d6fe |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:24 a.m.