Triple
T11923895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpe d’Huez |
E283731
|
entity |
| Predicate | averageClimbGradient |
P54393
|
FINISHED |
| Object | about 8.1 percent |
—
|
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 8.1 percent | Statement: [Alpe d’Huez, averageClimbGradient, about 8.1 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageClimbGradient Context triple: [Alpe d’Huez, averageClimbGradient, about 8.1 percent]
-
A.
averageGradient
chosen
Indicates the mean rate of change (slope) of a quantity over a specified interval or region.
-
B.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
C.
hasAverageElevation
Indicates that an entity is characterized by a specific mean height above a defined reference level, typically sea level.
-
D.
durationTypicalAscent
Indicates the typical amount of time required to complete an ascent.
-
E.
climbLength
Indicates the total distance or vertical extent covered by a climbing route or ascent.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e2fc648190a446c1917db1c7d9 |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.