Triple
T10426904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakersfield sound |
E245811
|
entity |
| Predicate | musicSceneCenter |
P92517
|
FINISHED |
| Object | Bakersfield honky-tonks |
—
|
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: Bakersfield honky-tonks | Statement: [Bakersfield sound, musicSceneCenter, Bakersfield honky-tonks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicSceneCenter Context triple: [Bakersfield sound, musicSceneCenter, Bakersfield honky-tonks]
-
A.
musicFocus
Indicates that the primary attention or emphasis is directed toward music or musical aspects.
-
B.
musicMovement
Indicates a relationship where a musical work, performance, or composition is associated with a specific movement or section within a larger musical piece.
-
C.
musicHub
chosen
Indicates a relationship where one entity serves as a central source, platform, or focal point for music-related content, activities, or connections for another entity.
-
D.
musicField
Indicates a relationship where an entity is associated with a particular field, genre, or domain within music.
-
E.
movementCenter
Indicates the central point or primary location around which an entity’s movement or motion is organized or focused.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea498ab08190b451c0b257c0711b |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:12 p.m.