Triple
T15922036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Col du Galibier |
E386114
|
entity |
| Predicate | lengthOfClimbFromColDuLautaretApprox |
P54394
|
FINISHED |
| Object | 8.5 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: 8.5 km | Statement: [Col du Galibier, lengthOfClimbFromColDuLautaretApprox, 8.5 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthOfClimbFromColDuLautaretApprox Context triple: [Col du Galibier, lengthOfClimbFromColDuLautaretApprox, 8.5 km]
-
A.
climbLength
chosen
Indicates the total distance or vertical extent covered by a climbing route or ascent.
-
B.
durationTypicalAscent
Indicates the typical amount of time required to complete an ascent.
-
C.
dateOfFirstAscentOfMontBlanc
Indicates the date on which the first successful ascent of Mont Blanc took place.
-
D.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
E.
climbsTo
Indicates that one entity moves upward, typically with effort or by climbing, until it reaches another entity or a higher position.
- 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_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. |
Created at: April 10, 2026, 4:52 a.m.