Triple
T20284265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogoslof Wilderness |
E509832
|
entity |
| Predicate | wildernessActRestrictions |
P139540
|
FINISHED |
| Object | no permanent roads |
—
|
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: no permanent roads | Statement: [Bogoslof Wilderness, wildernessActRestrictions, no permanent roads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildernessActRestrictions Context triple: [Bogoslof Wilderness, wildernessActRestrictions, no permanent roads]
-
A.
wildernessRegulationsApply
Indicates that specific rules and restrictions governing designated wilderness areas are in effect for the situation or location in question.
-
B.
hasWildernessArea
Indicates that one entity possesses, contains, or is associated with a designated wilderness area.
-
C.
designatedWilderness
Indicates that an area has been officially classified and protected as wilderness under a formal designation or legal framework.
-
D.
containsWildernessArea
Indicates that one entity geographically includes or encompasses a designated wilderness area within its boundaries.
-
E.
hasNearbyWildernessArea
Indicates that a wilderness area is located within a close geographic proximity to the referenced place or entity.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67691516c81909f32b176edb6214c |
completed | April 20, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 16, 2026, 10:56 a.m.