Triple
T20805169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Wilma |
E512135
|
entity |
| Predicate | classificationAtFloridaLandfall |
P132377
|
FINISHED |
| Object | Category 3 hurricane |
—
|
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: Category 3 hurricane | Statement: [Hurricane Wilma, classificationAtFloridaLandfall, Category 3 hurricane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationAtFloridaLandfall Context triple: [Hurricane Wilma, classificationAtFloridaLandfall, Category 3 hurricane]
-
A.
SaffirSimpsonScaleCategory
chosen
Indicates the hurricane’s classification level on the Saffir–Simpson scale based on its sustained wind speed and associated potential damage.
-
B.
firstCategory5LandfallDate
Indicates the date on which a storm first reached Category 5 intensity at landfall.
-
C.
regionAffectedByNamedStorms
Indicates that a geographic region is impacted or influenced by one or more specifically named storms.
-
D.
rankByAtlanticHurricaneIntensity
Indicates the ordering of entities based on the strength or severity of Atlantic hurricanes associated with them.
-
E.
numberOfCategory5Hurricanes
Indicates the count of hurricanes that have reached Category 5 intensity within a specified context or period.
- 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.