Triple
T35818281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodak, Tennessee |
E1035427
|
entity |
| Predicate | nearTouristCorridor |
P144533
|
FINISHED |
| Object | gateway to Sevier County tourist destinations |
—
|
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: gateway to Sevier County tourist destinations | Statement: [Kodak, Tennessee, nearTouristCorridor, gateway to Sevier County tourist destinations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearTouristCorridor Context triple: [Kodak, Tennessee, nearTouristCorridor, gateway to Sevier County tourist destinations]
-
A.
nearestTouristDestination
Indicates that one location is the closest tourist destination to another specified location.
-
B.
tourismCorridor
chosen
Indicates a designated route or area that links multiple destinations to facilitate and promote tourism-related movement and activities between them.
-
C.
typicalNearbyLandmarks
Indicates that certain landmarks are commonly found in the vicinity of a given place or location.
-
D.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
E.
nearScenicRoute
Indicates that one entity is located close to a route or path that is considered scenic or visually appealing.
- 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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.