Triple
T9531298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Liberty Blues & BBQ festival |
E229902
|
entity |
| Predicate | primaryMusicGenre |
P51264
|
FINISHED |
| Object | blues |
—
|
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: blues | Statement: [North Liberty Blues & BBQ festival, primaryMusicGenre, blues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMusicGenre Context triple: [North Liberty Blues & BBQ festival, primaryMusicGenre, blues]
-
A.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
B.
hasMainGenre
chosen
Indicates that an entity’s primary or most characteristic genre is the specified genre.
-
C.
primaryInstrumentalStyle
Indicates the main instrumental style or genre most closely associated with an entity’s musical performance or work.
-
D.
genreRecognized
Indicates that a particular genre has been identified or acknowledged as applicable to an entity.
-
E.
usedGenre
Indicates that one entity employs or is associated with a particular genre in its creation, presentation, or classification.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b408648190a04127c1d47fe7d2 |
completed | April 1, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69cca56c44f88190a54a5d2a133bb07e |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 8 p.m.