Triple
T16007079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salton Buttes |
E388245
|
entity |
| Predicate | hasNearbyPowerPlants |
P120742
|
FINISHED |
| Object | geothermal power plants near Salton Sea |
—
|
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: geothermal power plants near Salton Sea | Statement: [Salton Buttes, hasNearbyPowerPlants, geothermal power plants near Salton Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyPowerPlants Context triple: [Salton Buttes, hasNearbyPowerPlants, geothermal power plants near Salton Sea]
-
A.
hasNuclearPowerPlantNearby
Indicates that an entity is located close to at least one nuclear power plant.
-
B.
usedPowerplantsFrom
Indicates that an entity has utilized or drawn energy from the specified power plants.
-
C.
powerplantFor
Indicates that one entity functions as the power plant or primary energy source serving another entity.
-
D.
laterPowerplant
Indicates that one power plant occurs, is built, or becomes operational at a later time than another power plant.
-
E.
powerplantPower
Indicates that a power plant provides or generates a specified amount of 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:55 a.m.