Triple
T7294729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leflore County |
E164489
|
entity |
| Predicate | hasMusicHeritage |
P42607
|
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: [Leflore County, hasMusicHeritage, blues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicHeritage Context triple: [Leflore County, hasMusicHeritage, blues]
-
A.
hasHeritage
Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
-
B.
hasMusicInstitution
Indicates that an entity is associated with or hosts a music-related institution, such as a conservatory, music school, or similar organization.
-
C.
hasCulturalLegacyIn
chosen
Indicates that an entity has left a lasting cultural influence, impact, or heritage within a particular place, community, or cultural context.
-
D.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
E.
hasHeritageOrganization
Indicates that an entity is associated with, or belongs to, a particular heritage-related organization.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8b7cc08190983739bf667057c9 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3 p.m.