Triple
T20916733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Engadine |
E515091
|
entity |
| Predicate | valleyFloorApproxElevation |
P45909
|
FINISHED |
| Object | around 1800 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: around 1800 metres | Statement: [Upper Engadine, valleyFloorApproxElevation, around 1800 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valleyFloorApproxElevation Context triple: [Upper Engadine, valleyFloorApproxElevation, around 1800 metres]
-
A.
elevationApproxMeters
chosen
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
B.
valleyHeightAboveGround
Indicates the vertical distance between the valley’s lowest point and the surrounding ground level.
-
C.
elevationMinApprox
Indicates an approximate value for the minimum elevation associated with an entity or location.
-
D.
elevationFeetApproximate
Indicates the approximate elevation of an entity above sea level, measured in feet.
-
E.
elevationMinFeet
Indicates the minimum elevation of an entity or location, measured in feet.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec635f4881909a560fb891100d8c |
completed | April 21, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:48 p.m.