Triple
T21942244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dong Hoi |
E541849
|
entity |
| Predicate | climateClassification |
P193
|
FINISHED |
| Object | Köppen Am |
—
|
NE NERFINISHED |
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: Köppen Am | Statement: [Dong Hoi, climateClassification, Köppen Am]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Köppen Am Context triple: [Dong Hoi, climateClassification, Köppen Am]
-
A.
Köppen Am
chosen
Köppen Am is a tropical monsoon climate type characterized by consistently high temperatures and a pronounced wet season with heavy rainfall.
-
B.
Köppen
Köppen is a German surname most widely associated with climatologist Wladimir Köppen, after whom the influential Köppen climate classification system is named.
-
C.
Köppen Aw
Köppen Aw is a tropical savanna climate type characterized by consistently warm temperatures and a pronounced dry season.
-
D.
Köppen Dwa
Köppen Dwa is a humid continental climate subtype characterized by hot, wet summers and cold, dry winters with a pronounced monsoonal influence.
-
E.
Köppen BWk
Köppen BWk is a cold semi-arid (steppe) climate type characterized by low precipitation, hot summers, and cold winters, typically found in continental interior regions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242345dc8190aa6ddf61cf864e2d |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.