Triple
T5179972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ventana Wilderness |
E116894
|
entity |
| Predicate | isRoadless |
P62208
|
FINISHED |
| Object | largely roadless |
—
|
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: largely roadless | Statement: [Ventana Wilderness, isRoadless, largely roadless]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRoadless Context triple: [Ventana Wilderness, isRoadless, largely roadless]
-
A.
isPublicLand
Indicates that a given area of land is owned or managed by a government or public authority and is accessible or designated for use by the general public.
-
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.
hasWildernessArea
Indicates that one entity possesses, contains, or is associated with a designated wilderness area.
-
D.
designatedWilderness
Indicates that an area has been officially classified and protected as wilderness under a formal designation or legal framework.
-
E.
isRailTrail
Indicates that a path or route is a rail trail, meaning it follows or repurposes a former or existing railway corridor for recreational or transportation use.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799a322c8190b8a590cfe70761f5 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b529948190b86671ebe43f4734 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79251b548190918a1eb930e24c22 |
completed | March 20, 2026, 4:43 p.m. |
Created at: March 20, 2026, 1:45 p.m.