Triple
T34986924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Clear Creek Wilderness |
E1008972
|
entity |
| Predicate | mechanizedUseAllowed |
P182173
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [West Clear Creek Wilderness, mechanizedUseAllowed, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mechanizedUseAllowed Context triple: [West Clear Creek Wilderness, mechanizedUseAllowed, false]
-
A.
mechanizedAs
Indicates that an entity is implemented, operated, or transformed using mechanical or automated machinery or systems.
-
B.
motorizedUse
Indicates that an entity is used or operated by means of a motor or engine, rather than by human or animal power.
-
C.
mayAllowUse
Indicates that one entity has the potential or permission to allow another entity to use or access something.
-
D.
canUse
Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
-
E.
hasVehicularUse
Indicates that something is used for, intended for, or associated with operation by vehicles or vehicular traffic.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7870dfe108190996c0c68630edc7f |
completed | May 3, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4:01 p.m.