Triple
T15922050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Col du Galibier |
E386114
|
entity |
| Predicate | isIconicClimbOf |
P120546
|
FINISHED |
| Object | professional road cycling |
—
|
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: professional road cycling | Statement: [Col du Galibier, isIconicClimbOf, professional road cycling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIconicClimbOf Context triple: [Col du Galibier, isIconicClimbOf, professional road cycling]
-
A.
climbsTo
Indicates that one entity moves upward, typically with effort or by climbing, until it reaches another entity or a higher position.
-
B.
hasPopularAscentRouteFrom
Indicates that there exists a commonly used or well-known route for ascending to a place or peak starting from the specified origin location.
-
C.
climbedBy
Indicates that something is ascended or scaled by an agent or entity.
-
D.
hasClimbs
Indicates that one entity performs or is associated with climbing activity on another entity (such as a route, structure, or surface).
-
E.
typeOfClimb
Indicates the specific style or category of climbing activity associated with a climb (e.g., bouldering, sport, trad).
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e172b213e481909ee0c05e16229a26 |
completed | April 16, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.