Triple
T37649414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storm Desmond |
E937130
|
entity |
| Predicate | rainfallAmount24h |
P89042
|
FINISHED |
| Object | 341.4 mm at Honister Pass |
—
|
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: 341.4 mm at Honister Pass | Statement: [Storm Desmond, rainfallAmount24h, 341.4 mm at Honister Pass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rainfallAmount24h Context triple: [Storm Desmond, rainfallAmount24h, 341.4 mm at Honister Pass]
-
A.
rainfallPeak
Indicates the time or value at which rainfall intensity reaches its maximum during a given period or event.
-
B.
rainfallLevel
chosen
Indicates the amount or intensity of rainfall occurring at a given place and time.
-
C.
hasHighPrecipitation
Indicates that a location or time period experiences a large amount of precipitation, such as rain or snow, relative to a defined standard or average.
-
D.
collectsRainfallFor
Indicates that one entity gathers or measures rainfall on behalf of, or for the benefit of, another entity.
-
E.
snowDepth
Indicates the measured or estimated thickness of accumulated snow at a specific location or time.
- 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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.