Triple
T7438993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maceió |
E171696
|
entity |
| Predicate | climateClassification |
P193
|
FINISHED |
| Object | Af (Köppen) |
E321206
|
NE 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: Af (Köppen) | Statement: [Maceió, climateClassification, Af (Köppen)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Af (Köppen) Context triple: [Maceió, climateClassification, Af (Köppen)]
-
A.
Af (Köppen)
chosen
Af (Köppen) is the tropical rainforest climate classification characterized by consistently high temperatures and abundant year-round rainfall with no dry season.
-
B.
Köppen Am
Köppen Am is a tropical monsoon climate type characterized by consistently high temperatures and a pronounced wet season with heavy rainfall.
-
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 Cwa
Köppen Cwa is a humid subtropical climate type characterized by hot, wet summers and mild, dry winters, typically influenced by monsoonal patterns.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34c28648190a426b5d7623b41e8 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8278cd9cc8190b88767c1432b3007 |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:13 p.m.