Triple
T1957473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whiteface Mountain |
E42301
|
entity |
| Predicate | hasClimbingDifficulty |
P19708
|
FINISHED |
| Object | non-technical hiking routes |
—
|
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: non-technical hiking routes | Statement: [Whiteface Mountain, hasClimbingDifficulty, non-technical hiking routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClimbingDifficulty Context triple: [Whiteface Mountain, hasClimbingDifficulty, non-technical hiking routes]
-
A.
canClimb
Indicates that one entity has the ability or permission to climb another entity or surface.
-
B.
hasClimbingHazard
Indicates that something presents a risk or danger specifically associated with climbing activities.
-
C.
climbingArea
Indicates that one entity is a designated location or site used for climbing activities in relation to another entity.
-
D.
climbingClass
chosen
Indicates the difficulty or grade level assigned to a climbing route, problem, or activity.
-
E.
hasTrailDifficulty
Indicates the level of challenge or effort required to traverse a particular trail or route.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb68a8e608190bc37a85913b3cd44 |
completed | March 7, 2026, 5:24 a.m. |
| PD | Predicate disambiguation | batch_69abaff5dbd48190a9d36ca60de151db |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.