Triple
T10383778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tateyama Kurobe Alpine Route |
E244706
|
entity |
| Predicate | snowWallMaximumHeightMeters |
P93897
|
FINISHED |
| Object | up to 20 |
—
|
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: up to 20 | Statement: [Tateyama Kurobe Alpine Route, snowWallMaximumHeightMeters, up to 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowWallMaximumHeightMeters Context triple: [Tateyama Kurobe Alpine Route, snowWallMaximumHeightMeters, up to 20]
-
A.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
-
B.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
C.
rockHeight
Indicates that a rock has a specified vertical measurement or elevation (its height).
-
D.
maximumMoundHeight
Indicates the greatest allowable or observed height of a mound relative to a specified reference or context.
-
E.
skiAreaElevationMax
Indicates the maximum elevation, typically in meters or feet, reached within a ski area.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a2aafc8190aa11d14852fa1599 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:04 p.m.