Triple
T26323811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Köppen Dwa |
E662189
|
entity |
| Predicate | hasAirMassInfluence |
P26038
|
FINISHED |
| Object | summer tropical or maritime air masses |
—
|
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: summer tropical or maritime air masses | Statement: [Köppen Dwa, hasAirMassInfluence, summer tropical or maritime air masses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAirMassInfluence Context triple: [Köppen Dwa, hasAirMassInfluence, summer tropical or maritime air masses]
-
A.
hasAtmosphericFeature
chosen
Indicates that one entity possesses or exhibits a particular feature or characteristic of its atmosphere.
-
B.
hasAtmosphere
Indicates that an astronomical body possesses a surrounding layer of gases held by its gravity.
-
C.
hasGeneralAtmosphere
Indicates that one entity is characterized by or associated with a particular overall mood, tone, or ambient quality provided by another entity.
-
D.
hasDustExtinction
Indicates that an entity exhibits or is subject to attenuation of light due to the presence of intervening dust.
-
E.
capturesAtmosphereOf
Indicates that one entity successfully conveys or reflects the overall mood, tone, or ambiance characteristic of another entity.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f2e1fb48190aad56ac9683a267e |
completed | May 2, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:29 p.m.