Triple
T3011290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodak, Tennessee |
E82226
|
entity |
| Predicate | distanceToGreatSmokyMountainsNationalPark |
P44652
|
FINISHED |
| Object | approximately 20–25 miles |
—
|
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: approximately 20–25 miles | Statement: [Kodak, Tennessee, distanceToGreatSmokyMountainsNationalPark, approximately 20–25 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToGreatSmokyMountainsNationalPark Context triple: [Kodak, Tennessee, distanceToGreatSmokyMountainsNationalPark, approximately 20–25 miles]
-
A.
distanceToWashingtonDC
Indicates the physical distance between a given location and Washington, D.C.
-
B.
distanceToWinstonSalem
Indicates the spatial distance between a given entity’s location and the city of Winston-Salem.
-
C.
approximateRoundTripDistanceFromTrailhead
Indicates the estimated total distance of a complete out-and-back journey measured from the trailhead.
-
D.
distanceToCharlotte
Indicates the measured or estimated distance between a given entity and the location Charlotte.
-
E.
distanceFromFalls
Indicates the measured distance between a location or object and a specified waterfall or falls.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4e2c8c8190a8fed3604780826b |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad96180eb08190a524c5f458d41382 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3 p.m.