Triple
T3183707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meltemi |
E66649
|
entity |
| Predicate | typicalWindSpeed |
P2125
|
FINISHED |
| Object | moderate to strong breeze |
—
|
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: moderate to strong breeze | Statement: [Meltemi, typicalWindSpeed, moderate to strong breeze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWindSpeed Context triple: [Meltemi, typicalWindSpeed, moderate to strong breeze]
-
A.
typicalTemperature
Indicates the usual or characteristic temperature associated with an entity under normal conditions.
-
B.
maximumGusts
Indicates the relationship where a recorded wind gust value represents the highest (maximum) gust observed within a specified time or context.
-
C.
prevailingSurfaceWinds
chosen
Indicates the typical or most frequently occurring wind direction and speed that dominate at a given location over a specified period.
-
D.
typicalStormType
Indicates the kind of storm that is most commonly or characteristically associated with a given context or location.
-
E.
maximumSustainedWinds
Indicates the highest wind speed that is maintained continuously over a specified averaging period, rather than in brief gusts.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bfc4248190af320471688c60f0 |
completed | March 8, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69ad9e02677c8190a21d93b1259b2761 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.