Triple
T1448390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelby, North Carolina |
E31226
|
entity |
| Predicate | musicalHeritageAssociatedWith |
P5149
|
FINISHED |
| Object | bluegrass music |
—
|
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: bluegrass music | Statement: [Shelby, North Carolina, musicalHeritageAssociatedWith, bluegrass music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalHeritageAssociatedWith Context triple: [Shelby, North Carolina, musicalHeritageAssociatedWith, bluegrass music]
-
A.
hasCulturalSignificanceFor
Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
-
B.
musicTradition
Indicates a relationship where one entity follows, embodies, or belongs to a particular musical tradition or style associated with another entity.
-
C.
knownForMusicGenre
chosen
Indicates that an entity is recognized or notable for producing, performing, or being associated with a particular music genre.
-
D.
hasCulturalWorkNamedAfterIt
Indicates that something has a cultural work (such as a book, film, song, or artwork) that is named after it.
-
E.
notableMusician
Indicates that the subject is a musician who is widely recognized or distinguished for their musical work or impact.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55aa7dc8190aa7452d80ec8305e |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.