Triple
T4255442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crans-Montana |
E95961
|
entity |
| Predicate | maximumSkiElevation |
P19320
|
FINISHED |
| Object | about 3000 metres |
—
|
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 3000 metres | Statement: [Crans-Montana, maximumSkiElevation, about 3000 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumSkiElevation Context triple: [Crans-Montana, maximumSkiElevation, about 3000 metres]
-
A.
summitElevation
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
B.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
C.
areaPeak
Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
-
D.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
E.
highestElevationApprox
chosen
Indicates that an entity has an approximate value for the maximum elevation reached within its spatial or conceptual extent.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec036e8819087d8585170707545 |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.