Triple
T35436755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Col de la Bonette |
E1024229
|
entity |
| Predicate | climbFromJausiersLength |
P52597
|
FINISHED |
| Object | about 23 km |
—
|
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: about 23 km | Statement: [Col de la Bonette, climbFromJausiersLength, about 23 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climbFromJausiersLength Context triple: [Col de la Bonette, climbFromJausiersLength, about 23 km]
-
A.
climbLength
Indicates the total distance or vertical extent covered by a climbing route or ascent.
-
B.
lengthOfEastClimb
chosen
Indicates the measured length or distance of the climb on the east side or in the eastward direction.
-
C.
climbedInRange
Indicates that an entity’s climbing activity occurred within a specified range of values, such as time, distance, or elevation.
-
D.
jumpLength
Indicates the distance covered by an entity in a single jump.
-
E.
rangeClimbed
Indicates that an entity has climbed within a specified range or interval of values (such as height, difficulty, or distance).
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.