Triple
T7071706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumbuco |
E164713
|
entity |
| Predicate | windCharacteristics |
P74831
|
FINISHED |
| Object | side-onshore trade winds |
—
|
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: side-onshore trade winds | Statement: [Cumbuco, windCharacteristics, side-onshore trade winds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: windCharacteristics Context triple: [Cumbuco, windCharacteristics, side-onshore trade winds]
-
A.
windSpeed
Indicates the measured or estimated rate at which wind is moving at a given location and time.
-
B.
windResource
Indicates the availability, quality, or characteristics of wind at a location as a usable energy resource.
-
C.
windDirectionAtLandfall
Indicates the direction from which the wind is blowing at the moment and location where a storm makes landfall.
-
D.
prevailingSurfaceWinds
Indicates the typical or most frequently occurring wind direction and speed that dominate at a given location over a specified period.
-
E.
typicalWindStrength
Indicates the usual or characteristic intensity of wind associated with something, such as a place, time, or condition.
- F. None of above. chosen
Provenance (4 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4c9cdbc8190b91cd3b4eef58eb6 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bfcb948190a5ada74fb8c054cb |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:39 p.m.