Triple
T12187412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Pacific subtropical high |
E290368
|
entity |
| Predicate | influencesWinds |
P99748
|
FINISHED |
| Object | trade winds in the North Pacific |
—
|
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: trade winds in the North Pacific | Statement: [North Pacific subtropical high, influencesWinds, trade winds in the North Pacific]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencesWinds Context triple: [North Pacific subtropical high, influencesWinds, trade winds in the North Pacific]
-
A.
windCharacteristics
Indicates the specific properties or qualities that describe the behavior and nature of the wind in a given context.
-
B.
hasClimateInfluence
Indicates that one entity affects or contributes to the climate characteristics or climate-related conditions of another entity.
-
C.
windSpeed
Indicates the measured or estimated rate at which wind is moving at a given location and time.
-
D.
oceanInfluence
Indicates how the presence, properties, or behavior of an ocean affects another entity, condition, or process.
-
E.
influencesMovement
chosen
Indicates that one entity affects or alters the movement, motion, or trajectory of another entity.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91a83012c81908d04bbab5fdcd8c2 |
completed | April 10, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69d91510a258819090ef8fbdc2d8707b |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.