Triple
T6744713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coos Bay, Oregon |
E154179
|
entity |
| Predicate | averageWeatherCharacteristic |
P51674
|
FINISHED |
| Object | mild, wet winters |
—
|
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: mild, wet winters | Statement: [Coos Bay, Oregon, averageWeatherCharacteristic, mild, wet winters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageWeatherCharacteristic Context triple: [Coos Bay, Oregon, averageWeatherCharacteristic, mild, wet winters]
-
A.
averageTemperature
Indicates the typical or mean temperature value associated with an entity over a specified period or context.
-
B.
averageClimateDescription
chosen
Indicates the general or typical climate characteristics associated with an entity, often summarizing conditions like temperature and precipitation over time.
-
C.
typicalTemperature
Indicates the usual or characteristic temperature associated with an entity under normal conditions.
-
D.
averageWarmestMonth
Indicates the relationship between a place and the month in which its long-term average temperature is highest.
-
E.
averageSummerTemperatureC
Indicates the typical or mean air temperature, measured in degrees Celsius, experienced at a location during the summer season.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b543688190af179e0244d1ff75 |
completed | March 27, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69c6d09067a0819087ed6c820f4699f8 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:10 p.m.