Triple
T13282102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Route 108 |
E316346
|
entity |
| Predicate | mountainPassElevationCategory |
P35392
|
FINISHED |
| Object | high mountain pass |
—
|
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: high mountain pass | Statement: [State Route 108, mountainPassElevationCategory, high mountain pass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountainPassElevationCategory Context triple: [State Route 108, mountainPassElevationCategory, high mountain pass]
-
A.
altitudeCategory
chosen
Indicates the classification of something based on its height or elevation relative to a reference level (e.g., low, medium, high altitude).
-
B.
peakElevationMetres
Indicates the maximum height of an entity above sea level, measured in metres.
-
C.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
-
D.
summitElevation
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
E.
campElevation
Indicates the elevation or height above sea level at which a camp is located.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.