Triple
T8688423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antarctic Zone |
E206223
|
entity |
| Predicate | hasPrecipitationType |
P36155
|
FINISHED |
| Object | mainly snow |
—
|
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: mainly snow | Statement: [Antarctic Zone, hasPrecipitationType, mainly snow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrecipitationType Context triple: [Antarctic Zone, hasPrecipitationType, mainly snow]
-
A.
associatedWithPrecipitationType
chosen
Indicates that there is a relationship between an entity and a specific type or category of precipitation (such as rain, snow, or hail).
-
B.
hasSnowType
Indicates that something possesses or is characterized by a particular type or category of snow.
-
C.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
D.
hasSnowfallUnit
Indicates the unit of measurement used to express the amount or depth of snowfall in a given context.
-
E.
hasSnowAndIce
Indicates that the subject is covered with or contains both snow and ice.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc57334b0c8190903a5a1784e74791 |
completed | March 31, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:33 p.m.