Triple
T1969684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Gorgonio Pass region |
E42769
|
entity |
| Predicate | windEnergyDevelopment |
P33325
|
FINISHED |
| Object | major wind energy production area |
—
|
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: major wind energy production area | Statement: [San Gorgonio Pass region, windEnergyDevelopment, major wind energy production area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: windEnergyDevelopment Context triple: [San Gorgonio Pass region, windEnergyDevelopment, major wind energy production area]
-
A.
hasOffshoreWindFarm
Indicates that an entity owns, operates, or is otherwise associated with a wind farm located in offshore (marine) areas.
-
B.
numberOfTurbines
Indicates the quantity of turbines associated with a given entity or installation.
-
C.
windmillType
Indicates that one entity is classified as a specific type or category of windmill in relation to another entity.
-
D.
renewableEnergyShare
Indicates the proportion of total energy consumption or production that comes from renewable energy sources.
-
E.
windmillFunction
Indicates that something serves as or performs the function of a windmill, typically converting wind energy into mechanical or electrical power.
- 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.