Triple
T34637436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee and Virginia |
E889466
|
entity |
| Predicate | shareMusicHeritageRegion |
P201751
|
FINISHED |
| Object | country and bluegrass music traditions |
—
|
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: country and bluegrass music traditions | Statement: [Tennessee and Virginia, shareMusicHeritageRegion, country and bluegrass music traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareMusicHeritageRegion Context triple: [Tennessee and Virginia, shareMusicHeritageRegion, country and bluegrass music traditions]
-
A.
musicGenreRegion
Indicates the association between a music genre and the geographic region where it originates, is most prevalent, or is culturally significant.
-
B.
regionOfArtists
Indicates the geographic area or region associated with the artists.
-
C.
culturalRegion
Indicates that an entity is located in, associated with, or belongs to a specific cultural region or cultural area.
-
D.
namedForCulturalRegion
Indicates that something is given a name derived from or honoring a specific cultural region.
-
E.
notableTourRegion
Indicates that an entity is a region recognized as a significant or popular destination for tours or tourism.
- F. None of above. chosen
Provenance (4 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a001adc8c108190ab3a43f6415e2be3 |
completed | May 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_6a001a290330819097c2c3123f9014b4 |
completed | May 10, 2026, 5:39 a.m. |
| PDg | Predicate description generation | batch_6a001adbe6588190b7af521508b18898 |
completed | May 10, 2026, 5:42 a.m. |
Created at: May 1, 2026, 2:04 a.m.