Triple
T13853520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvitfjell ski resort |
E333002
|
entity |
| Predicate | topElevation_m |
P99098
|
FINISHED |
| Object | about 1039 |
—
|
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 1039 | Statement: [Kvitfjell ski resort, topElevation_m, about 1039]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topElevation_m Context triple: [Kvitfjell ski resort, topElevation_m, about 1039]
-
A.
peakElevationMetres
chosen
Indicates the maximum height of an entity above sea level, measured in metres.
-
B.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
C.
highestElevationApprox
Indicates that an entity has an approximate value for the maximum elevation reached within its spatial or conceptual extent.
-
D.
highestPassApproxElevation
Indicates the approximate elevation of the highest pass along a given route or within a specified area.
-
E.
elevationRangeUpperBound
Indicates the maximum elevation value that bounds the upper limit of an elevation range for something.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02da9460819093a3ec5a3c62ea81 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.