Triple
T21947361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merkurbergbahn funicular |
E541967
|
entity |
| Predicate | elevationOfLowerStation |
P15473
|
FINISHED |
| Object | about 287 m 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: about 287 m above sea level | Statement: [Merkurbergbahn funicular, elevationOfLowerStation, about 287 m above sea level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationOfLowerStation Context triple: [Merkurbergbahn funicular, elevationOfLowerStation, about 287 m above sea level]
-
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.
elevationAtBase
chosen
Indicates the height or altitude measured at the base or lowest point of an object or feature relative to a reference level.
-
C.
elevationLowerThan
Indicates that the elevation of one entity is lower than the elevation of another entity.
-
D.
elevationMinM
Indicates the minimum elevation, measured in meters, at which an entity or phenomenon occurs or is situated.
-
E.
hasLowerStationAt
Indicates that one entity has a subordinate or lower-ranked position relative to another entity within a hierarchical structure.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12428dee48190acb63051ed7cd03e |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:57 p.m.