Triple
T34544444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpental |
E886884
|
entity |
| Predicate | hasSnowClimate |
P179665
|
FINISHED |
| Object | maritime snowpack |
—
|
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: maritime snowpack | Statement: [Alpental, hasSnowClimate, maritime snowpack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSnowClimate Context triple: [Alpental, hasSnowClimate, maritime snowpack]
-
A.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
B.
hasSnowAtHighElevations
Indicates that snow is present in areas located at higher elevations within a given region or context.
-
C.
hasWinterPhenomenon
Indicates that an entity experiences or is characterized by a particular phenomenon occurring during the winter season.
-
D.
hasSnowAndIce
Indicates that the subject is covered with or contains both snow and ice.
-
E.
canHaveSnowIn
Indicates that a location is capable of experiencing snowfall during a particular time or under certain conditions.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7238172748190b8cd340ad1f4ba80 |
completed | May 3, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f72349f1108190b6a06758ab2f40bb |
completed | May 3, 2026, 10:28 a.m. |
Created at: May 1, 2026, 2:02 a.m.