Triple
T22998780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Hemisphere |
E572579
|
entity |
| Predicate | hasDominantWindSystem |
P44464
|
FINISHED |
| Object | westerliesInMidLatitudes |
—
|
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: westerliesInMidLatitudes | Statement: [Northern Hemisphere, hasDominantWindSystem, westerliesInMidLatitudes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDominantWindSystem Context triple: [Northern Hemisphere, hasDominantWindSystem, westerliesInMidLatitudes]
-
A.
dominantWindSystem
chosen
Indicates that one wind pattern or circulation system is the primary or prevailing influence over atmospheric conditions in a given region or period.
-
B.
hasDominanceSystem
Indicates that one entity maintains a structured hierarchy of power or control over others within a social or organizational system.
-
C.
hasWindPattern
Indicates that one entity exhibits, is characterized by, or is associated with a particular pattern of wind behavior.
-
D.
hasClimateSystem
Indicates that one entity possesses or is characterized by a particular climate system.
-
E.
hasDominantSpecies
Indicates that one entity possesses or is characterized by a species that is predominant or most influential within it.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f54ce88190930530958e2a1830 |
completed | April 29, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:50 p.m.