Triple
T6078935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val Gardena |
E135472
|
entity |
| Predicate | mainValleyFloorElevation |
P35776
|
FINISHED |
| Object | about 1200 meters |
—
|
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 1200 meters | Statement: [Val Gardena, mainValleyFloorElevation, about 1200 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainValleyFloorElevation Context triple: [Val Gardena, mainValleyFloorElevation, about 1200 meters]
-
A.
elevationAboveValley
Indicates the vertical height or altitude of an entity measured relative to the lowest point of the surrounding valley.
-
B.
elevationMinApprox
chosen
Indicates an approximate value for the minimum elevation associated with an entity or location.
-
C.
elevationMinM
Indicates the minimum elevation, measured in meters, at which an entity or phenomenon occurs or is situated.
-
D.
elevationMinFeet
Indicates the minimum elevation of an entity or location, measured in feet.
-
E.
elevationLowerThan
Indicates that the elevation of one entity is lower than the elevation of another entity.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0577209b88190afe5b1365cf6436d |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:11 p.m.