Triple
T38121430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerler |
E951946
|
entity |
| Predicate | skiResortBaseElevation |
P116281
|
FINISHED |
| Object | approximately 1500 meters above sea level |
—
|
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: approximately 1500 meters above sea level | Statement: [Cerler, skiResortBaseElevation, approximately 1500 meters above sea level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skiResortBaseElevation Context triple: [Cerler, skiResortBaseElevation, approximately 1500 meters above sea level]
-
A.
hasSkiAreaBaseElevation
chosen
Indicates the base elevation at which a ski area is situated.
-
B.
skiAreaElevationMax
Indicates the maximum elevation, typically in meters or feet, reached within a ski area.
-
C.
skiAreaAltitudeRange_m
Indicates the range of altitudes, in meters, over which a ski area extends.
-
D.
summitElevation
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
E.
campElevation
Indicates the elevation or height above sea level at which a camp is located.
- 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:21 p.m.