Triple
T33010804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Peaceful Side of the Smokies |
E844638
|
entity |
| Predicate | tourismBrandFor |
P43641
|
FINISHED |
| Object | Townsend area |
—
|
NE NERFINISHED |
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: Townsend area | Statement: [The Peaceful Side of the Smokies, tourismBrandFor, Townsend area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismBrandFor Context triple: [The Peaceful Side of the Smokies, tourismBrandFor, Townsend area]
-
A.
hasTourismRegionBrand
chosen
Indicates that an entity is associated with or belongs to a specific tourism region brand used for destination marketing or regional tourism identity.
-
B.
isTourismBrandName
Indicates that a given name is recognized or used as a brand associated with tourism-related services, products, or destinations.
-
C.
tourismSlogan
Indicates that a phrase is used as a promotional slogan to attract tourists to a place or destination.
-
D.
hotelBrand
Indicates that a hotel is affiliated with, operated by, or marketed under a specific hotel brand.
-
E.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
- 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:23 a.m.