Triple
T32445390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African easterly waves |
E829128
|
entity |
| Predicate | roleInCyclogenesis |
P74843
|
FINISHED |
| Object | seed disturbances for Atlantic tropical cyclones |
—
|
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: seed disturbances for Atlantic tropical cyclones | Statement: [African easterly waves, roleInCyclogenesis, seed disturbances for Atlantic tropical cyclones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCyclogenesis Context triple: [African easterly waves, roleInCyclogenesis, seed disturbances for Atlantic tropical cyclones]
-
A.
roleInWMO
Indicates that an entity holds or fulfills a specific role or position within the World Meteorological Organization (WMO).
-
B.
climaticRole
chosen
Indicates the role or influence that something has on climate patterns or climatic conditions.
-
C.
stormTypeAtFormation
Indicates the specific type or classification of a storm at the time it initially forms.
-
D.
stormName
Indicates that a particular storm is identified or designated by a specific name.
-
E.
stormTypeAtLandfall
Indicates the classification or category of a storm at the specific time and location where it makes landfall.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a002962f6e081909906d6436bae6407 |
completed | May 10, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_6a00284c9c7c8190a77f18a41eee55df |
completed | May 10, 2026, 6:40 a.m. |
Created at: May 1, 2026, 12:56 a.m.