Triple
T14100884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Townsend |
E339375
|
entity |
| Predicate | snowCoverage |
P82171
|
FINISHED |
| Object | often snow-covered in winter |
—
|
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: often snow-covered in winter | Statement: [Mount Townsend, snowCoverage, often snow-covered in winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowCoverage Context triple: [Mount Townsend, snowCoverage, often snow-covered in winter]
-
A.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
B.
snowQuality
Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
-
C.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
D.
hasSnowIn
Indicates that snow is present or occurs within a specified location or region.
-
E.
hasSeasonalSnowCover
chosen
Indicates that an entity is covered by snow during certain seasons or periods of the year, rather than permanently.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fba7c10819095b1299b7b4f0310 |
completed | April 14, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.