Triple
T37649426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storm Desmond |
E937130
|
entity |
| Predicate | meteorologicalType |
P188561
|
FINISHED |
| Object | deep Atlantic low-pressure system |
—
|
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: deep Atlantic low-pressure system | Statement: [Storm Desmond, meteorologicalType, deep Atlantic low-pressure system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meteorologicalType Context triple: [Storm Desmond, meteorologicalType, deep Atlantic low-pressure system]
-
A.
climatologicalType
Indicates the classification of a climate or weather pattern that characterizes a place, period, or condition.
-
B.
meteorologicalOrigin
Indicates that one entity originates from, is caused by, or is derived from a particular meteorological or weather-related phenomenon.
-
C.
meteorologicalStatus
Indicates the current or historical weather-related condition or state affecting an entity or location.
-
D.
typicalWeatherFeature
Indicates a weather condition or pattern that commonly characterizes a place or time period.
-
E.
stormTypeWhenUsed
Indicates the specific type or category of storm associated with or triggered when a particular thing is used.
- 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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa19e4a88190b04f26c0d4e708fd |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbaa108ee48190b84d13df3ef3e365 |
completed | May 6, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:18 p.m.