Triple
T7294935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Mesa Reservoir |
E164494
|
entity |
| Predicate | hasScenicBywayNearby |
P13952
|
FINISHED |
| Object | U.S. Highway 50 |
—
|
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: U.S. Highway 50 | Statement: [Blue Mesa Reservoir, hasScenicBywayNearby, U.S. Highway 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScenicBywayNearby Context triple: [Blue Mesa Reservoir, hasScenicBywayNearby, U.S. Highway 50]
-
A.
hasScenicByway
chosen
Indicates that one place, route, or area is connected to or includes a designated scenic byway.
-
B.
isScenicByway
Indicates that a roadway is officially designated as a scenic byway, recognized for its notable visual, cultural, or natural appeal along its route.
-
C.
hasScenicDrive
Indicates that one entity offers or features a visually appealing or picturesque driving route associated with it.
-
D.
hasNearbyStatePark
Indicates that a location is situated close to at least one designated state park.
-
E.
hasMountainPassNearby
Indicates that a mountain pass is located in close proximity to the referenced place or feature.
- 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.