Triple
T7569046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clouds Rest |
E179192
|
entity |
| Predicate | hikingRouteType |
P17835
|
FINISHED |
| Object | strenuous day hike |
—
|
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 day hike | Statement: [Clouds Rest, hikingRouteType, strenuous day hike]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hikingRouteType Context triple: [Clouds Rest, hikingRouteType, strenuous day hike]
-
A.
climbingRoute
Indicates a relationship where a path or sequence of holds is designated for ascending a surface, typically in rock climbing or similar activities.
-
B.
hasRecreationalRoute
chosen
Indicates that an entity is associated with or includes a route intended for recreational activities such as walking, cycling, or hiking.
-
C.
outdoorActivityType
Indicates the specific kind of outdoor activity associated with an entity or event.
-
D.
hikeLength
Indicates the distance or duration associated with a hiking activity or trail.
-
E.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f91ec780819099de6227a27bf5a5 |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4de77048190b8769e717fdcf8e7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.