Triple
T31714005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebelhorn cable car |
E809404
|
entity |
| Predicate | hasValleyStationElevation |
P173453
|
FINISHED |
| Object | approximately 815 m |
—
|
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 815 m | Statement: [Nebelhorn cable car, hasValleyStationElevation, approximately 815 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasValleyStationElevation Context triple: [Nebelhorn cable car, hasValleyStationElevation, approximately 815 m]
-
A.
upperStationElevation
Indicates the elevation or height above a reference level (e.g., sea level) of the upper station in a system or structure.
-
B.
valleyHeightAboveGround
Indicates the vertical distance between the valley’s lowest point and the surrounding ground level.
-
C.
hasElevationFeature
Indicates that one entity possesses or is characterized by a particular elevation-related feature or attribute, such as height, altitude, or vertical relief.
-
D.
elevationAboveValley
Indicates the vertical height or altitude of an entity measured relative to the lowest point of the surrounding valley.
-
E.
hasValley
Indicates that one entity contains, features, or is characterized by the presence of a valley associated with the other entity.
- F. None of above. chosen
Provenance (4 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 30, 2026, 11:16 p.m.