Triple
T25336082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sub Dome |
E635281
|
entity |
| Predicate | trailDifficultySection |
P24163
|
FINISHED |
| Object | strenuous |
—
|
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: strenuous | Statement: [Sub Dome, trailDifficultySection, strenuous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailDifficultySection Context triple: [Sub Dome, trailDifficultySection, strenuous]
-
A.
hasTrailDifficulty
chosen
Indicates the level of challenge or effort required to traverse a particular trail or route.
-
B.
climbingDifficultyContext
Indicates the contextual conditions or factors (such as environment, route type, or situation) under which a climbing difficulty assessment applies.
-
C.
относитсяККатегорииСложностиВосхождений
Indicates that something is associated with a specific category of climbing difficulty.
-
D.
difficultyRelativeToOtherRoutes
Indicates how the difficulty level of one route compares relative to other routes.
-
E.
trailAccess
Indicates that one entity provides permission or a route for another entity to enter, use, or traverse a specific trail or pathway.
- 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f497ca0f18819090168e3221c2aa32 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:32 p.m.