Triple
T33612861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murodo Plateau |
E861034
|
entity |
| Predicate | snowCorridorHeight |
P93897
|
FINISHED |
| Object | up to around 20 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: up to around 20 meters | Statement: [Murodo Plateau, snowCorridorHeight, up to around 20 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowCorridorHeight Context triple: [Murodo Plateau, snowCorridorHeight, up to around 20 meters]
-
A.
snowWallMaximumHeightMeters
chosen
Indicates the maximum height, measured in meters, of a wall of snow.
-
B.
snowCorridorBestSeason
Indicates the time of year that is most suitable or optimal for experiencing or using a snow corridor.
-
C.
snowLine
Indicates the altitude or boundary on a mountain or region above which snow persists year-round or seasonally.
-
D.
snowQuality
Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
-
E.
snowCappedIn
Indicates that one entity is located in or on another entity and is covered with snow, typically referring to geographic features like mountains or peaks.
- 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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f7e459708190b0a31f51946c630f |
completed | May 3, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:41 a.m.