Triple
T32214533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Dibona |
E822891
|
entity |
| Predicate | rockClimbingGradesRange |
P156495
|
FINISHED |
| Object | approximately 4c to 6c (French) on popular 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: approximately 4c to 6c (French) on popular routes | Statement: [La Dibona, rockClimbingGradesRange, approximately 4c to 6c (French) on popular routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rockClimbingGradesRange Context triple: [La Dibona, rockClimbingGradesRange, approximately 4c to 6c (French) on popular routes]
-
A.
climbingGradesRange
chosen
Indicates the range of difficulty grades that apply to a climbing route, problem, or area.
-
B.
primaryClimbingDifficulty
Indicates the main level of challenge or technical difficulty associated with a climbing route or problem.
-
C.
climbingClass
Indicates the difficulty or grade level assigned to a climbing route, problem, or activity.
-
D.
climbingGradeContext
Indicates the grading system or contextual scale used to express the difficulty rating of a climb.
-
E.
standardClimbingRouteType
Indicates the classification of a climbing route according to a recognized grading or style system.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb95ffc48190bb4a7319a05834d6 |
completed | May 3, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:37 a.m.