Triple
T5563021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ober Gabelhorn |
E145809
|
entity |
| Predicate | climbingRoutesCharacter |
P64505
|
FINISHED |
| Object | mixed rock and ice |
—
|
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: mixed rock and ice | Statement: [Ober Gabelhorn, climbingRoutesCharacter, mixed rock and ice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climbingRoutesCharacter Context triple: [Ober Gabelhorn, climbingRoutesCharacter, mixed rock and ice]
-
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.
isClimbingRouteFeatureOn
Indicates that a specific climbing route feature is located on or part of a particular climbing route.
-
C.
climbingStatus
Indicates the current state or condition of an entity with respect to a climbing activity or process (e.g., whether it is climbing, has climbed, or is not climbing).
-
D.
climbingArea
Indicates that one entity is a designated location or site used for climbing activities in relation to another entity.
-
E.
climbingCategory
Indicates the classification level or difficulty grade assigned to a climbing route, problem, or activity.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201ba0e88190acd5bfaa5973f2d8 |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:36 p.m.