Triple
T18773328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boreas |
E459068
|
entity |
| Predicate | opposedBy |
P437
|
FINISHED |
| Object | south wind Notus |
—
|
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: south wind Notus | Statement: [Boreas, opposedBy, south wind Notus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: south wind Notus Context triple: [Boreas, opposedBy, south wind Notus]
-
A.
Notus
chosen
Notus is the Greek god of the warm, stormy south wind, associated with late summer and early autumn weather.
-
B.
Zefyria
Zefyria is a small inland village on the Greek island of Milos, known for its traditional Cycladic character and quiet, rural setting.
-
C.
Mistral
Mistral is the codename for the high-efficiency CPU cores used in Apple’s A11 Bionic system-on-a-chip.
-
D.
Mistral
Mistral is a strong, cold, and dry northwesterly wind that blows from southern France into the Mediterranean, significantly influencing the climate and weather of the region.
-
E.
Mistral
Mistral is an OpenStack workflow service that lets users define, manage, and execute complex, long-running tasks and processes in the cloud.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e593378a4081909cc1b0856fce7d7d |
completed | April 20, 2026, 2:45 a.m. |
Created at: April 10, 2026, 11:52 a.m.