Triple
T21465173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House Range Wilderness Study Area |
E529575
|
entity |
| Predicate | wildernessCharacteristics |
P80571
|
FINISHED |
| Object | naturalness |
—
|
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: naturalness | Statement: [House Range Wilderness Study Area, wildernessCharacteristics, naturalness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildernessCharacteristics Context triple: [House Range Wilderness Study Area, wildernessCharacteristics, naturalness]
-
A.
designatedWilderness
Indicates that an area has been officially classified and protected as wilderness under a formal designation or legal framework.
-
B.
hasWildernessCharacter
chosen
Indicates that an area possesses qualities or attributes associated with being wild, natural, and largely unaffected by human development or control.
-
C.
containsWildernessArea
Indicates that one entity geographically includes or encompasses a designated wilderness area within its boundaries.
-
D.
hasWildernessArea
Indicates that one entity possesses, contains, or is associated with a designated wilderness area.
-
E.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9f1b3cc819092c200f09c6f461e |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:09 p.m.