Triple
T38487062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Gilbert |
E917945
|
entity |
| Predicate | categoryAtJamaicaLandfall |
P142575
|
FINISHED |
| Object | Category 3 or 4 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 or 4 hurricane | Statement: [Hurricane Gilbert, categoryAtJamaicaLandfall, Category 3 or 4 hurricane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryAtJamaicaLandfall Context triple: [Hurricane Gilbert, categoryAtJamaicaLandfall, Category 3 or 4 hurricane]
-
A.
stormTypeAtLandfall
chosen
Indicates the classification or category of a storm at the specific time and location where it makes landfall.
-
B.
hasTropicalCyclones
Indicates that the specified region or area experiences tropical cyclones as part of its typical weather or climate conditions.
-
C.
SaffirSimpsonScaleCategory
Indicates the hurricane’s classification level on the Saffir–Simpson scale based on its sustained wind speed and associated potential damage.
-
D.
firstCategory5LandfallDate
Indicates the date on which a storm first reached Category 5 intensity at landfall.
-
E.
locatedInCaribbean
Indicates that one entity is geographically situated within the Caribbean region.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.