Triple
T9503200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Gorgonio Pass |
E229193
|
entity |
| Predicate | windFarmDevelopmentBegan |
P33325
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [San Gorgonio Pass, windFarmDevelopmentBegan, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: windFarmDevelopmentBegan Context triple: [San Gorgonio Pass, windFarmDevelopmentBegan, 1980s]
-
A.
windEnergyDevelopment
chosen
Indicates the development, construction, or expansion of facilities and infrastructure for generating energy from wind.
-
B.
windFarmCapacity
Indicates the total power generation capacity of a wind farm, typically measured in units such as megawatts.
-
C.
hasWindFarm
Indicates that one entity possesses, hosts, or contains a wind farm as part of its assets, infrastructure, or territory.
-
D.
windResource
Indicates the availability, quality, or characteristics of wind at a location as a usable energy resource.
-
E.
wasWorldsLargestOffshoreWindFarmAtCommissioning
Indicates that the entity held the status of being the world’s largest offshore wind farm at the time it was officially commissioned.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983ea6048190a2d7924c8e6d1fbc |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:57 p.m.