Triple
T1969697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Gorgonio Pass region |
E42769
|
entity |
| Predicate | windPattern |
P8034
|
FINISHED |
| Object | frequent strong westerly 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: frequent strong westerly winds | Statement: [San Gorgonio Pass region, windPattern, frequent strong westerly winds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: windPattern Context triple: [San Gorgonio Pass region, windPattern, frequent strong westerly winds]
-
A.
windmillFunction
Indicates that something serves as or performs the function of a windmill, typically converting wind energy into mechanical or electrical power.
-
B.
windmillType
Indicates that one entity is classified as a specific type or category of windmill in relation to another entity.
-
C.
pattern
chosen
Indicates that one entity exhibits, follows, or is characterized by a particular recurring form, structure, or arrangement associated with another entity.
-
D.
kitPattern
Indicates the design or visual pattern featured on a team's kit or uniform.
-
E.
windResistance
Indicates the degree to which an entity opposes or reduces the effect of wind acting upon it.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3d17274819084cd352a3d2a8151 |
completed | March 7, 2026, 5:12 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.