Triple
T18708328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Andrew |
E457431
|
entity |
| Predicate | SaffirSimpsonScaleCategory |
P132377
|
FINISHED |
| Object | Category 5 |
—
|
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 5 | Statement: [Hurricane Andrew, SaffirSimpsonScaleCategory, Category 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SaffirSimpsonScaleCategory Context triple: [Hurricane Andrew, SaffirSimpsonScaleCategory, Category 5]
-
A.
rankByAtlanticHurricaneIntensity
Indicates the ordering of entities based on the strength or severity of Atlantic hurricanes associated with them.
-
B.
numberOfCategory5Hurricanes
Indicates the count of hurricanes that have reached Category 5 intensity within a specified context or period.
-
C.
maximumSustainedWinds
Indicates the highest wind speed that is maintained continuously over a specified averaging period, rather than in brief gusts.
-
D.
rankAmongDeadliestCyclones
Indicates how a cyclone is positioned or ordered in terms of its deadliness relative to other cyclones.
-
E.
numberOfHurricanes
Indicates the total count of hurricanes associated with a specified context, such as a region, time period, or event.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56719383481909d68c9e873ca0800 |
completed | April 19, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:50 a.m.