Triple
T21037828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Vince |
E518236
|
entity |
| Predicate | stormTypeAtLandfall |
P142575
|
FINISHED |
| Object | tropical depression |
—
|
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: tropical depression | Statement: [Hurricane Vince, stormTypeAtLandfall, tropical depression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stormTypeAtLandfall Context triple: [Hurricane Vince, stormTypeAtLandfall, tropical depression]
-
A.
stormTypeAtFormation
Indicates the specific type or classification of a storm at the time it initially forms.
-
B.
typicalStormType
Indicates the kind of storm that is most commonly or characteristically associated with a given context or location.
-
C.
stormName
Indicates that a particular storm is identified or designated by a specific name.
-
D.
stormStrength
Indicates the intensity or severity level of a storm event.
-
E.
stormCategory
Indicates the classification level or intensity category assigned to a storm based on its measured strength or impact.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcecf2508190a7647abb3c59debb |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:05 p.m.