Triple
T20805143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Wilma |
E512135
|
entity |
| Predicate | lowestCentralPressure |
P23035
|
FINISHED |
| Object | 882 mbar |
—
|
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: 882 mbar | Statement: [Hurricane Wilma, lowestCentralPressure, 882 mbar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowestCentralPressure Context triple: [Hurricane Wilma, lowestCentralPressure, 882 mbar]
-
A.
lowestCentralPressure_inHg
Indicates the minimum central atmospheric pressure of a system, measured in inches of mercury (inHg).
-
B.
minimumCentralPressure_hPa
Indicates the lowest atmospheric pressure at the center of a system, measured in hectopascals (hPa), typically used for phenomena like storms or cyclones.
-
C.
minimumCentralPressure_mbar
chosen
Indicates the lowest atmospheric pressure at the center of a system or event, measured in millibars.
-
D.
rankAmongUSLandfallsByPressure
Indicates the storm’s position in the ordered list of U.S. landfalling storms when ranked by minimum central pressure at landfall.
-
E.
lowestPoint
Indicates that one entity is the point with the minimum vertical position or value relative to another entity or within a specified context.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2ce6420819091792ffaa3c46c53 |
completed | April 21, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:40 p.m.