Triple
T24699347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borah Peak Trailhead |
E611686
|
entity |
| Predicate | nearbyLandManagementUnit |
P143700
|
FINISHED |
| Object | Salmon-Challis National Forest |
—
|
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: Salmon-Challis National Forest | Statement: [Borah Peak Trailhead, nearbyLandManagementUnit, Salmon-Challis National Forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyLandManagementUnit Context triple: [Borah Peak Trailhead, nearbyLandManagementUnit, Salmon-Challis National Forest]
-
A.
hasNearbyPublicLand
Indicates that one entity is located close to an area of public land, such as parks, reserves, or other publicly accessible open spaces.
-
B.
hasNearbyLandUse
Indicates that one land area is located close to another area characterized by a specific type of land use.
-
C.
hasNearbyLandManager
chosen
Indicates that an entity has a land manager responsible for or operating on land located in close geographic proximity to it.
-
D.
nearbySettlements
Indicates that one settlement is located close to another settlement in geographic space.
-
E.
nearbySettlementRegion
Indicates that a settlement is located close to or within the surrounding area of a specified region.
- 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_69e2c4d76d148190b58ad612467149a5 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 3:22 a.m.