Triple
T1969683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Gorgonio Pass region |
E42769
|
entity |
| Predicate | windResource |
P33324
|
FINISHED |
| Object | one of the windiest areas in California |
—
|
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: one of the windiest areas in California | Statement: [San Gorgonio Pass region, windResource, one of the windiest areas in California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: windResource Context triple: [San Gorgonio Pass region, windResource, one of the windiest areas in California]
-
A.
windResistance
Indicates the degree to which an entity opposes or reduces the effect of wind acting upon it.
-
B.
windmillType
Indicates that one entity is classified as a specific type or category of windmill in relation to another entity.
-
C.
windmillFunction
Indicates that something serves as or performs the function of a windmill, typically converting wind energy into mechanical or electrical power.
-
D.
numberOfTurbines
Indicates the quantity of turbines associated with a given entity or installation.
-
E.
hasWindmill
Indicates that one entity possesses, contains, or features a windmill as part of it or on its premises.
- 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_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. |
| PDg | Predicate description generation | batch_69abb16a6db48190af04012e8ed2269f |
completed | March 7, 2026, 5:02 a.m. |
Created at: March 4, 2026, 7:36 p.m.