Triple
T35880880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salton Sea Geothermal Field |
E1037502
|
entity |
| Predicate | energyConversionTechnology |
P136516
|
FINISHED |
| Object | flash steam power plants |
—
|
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: flash steam power plants | Statement: [Salton Sea Geothermal Field, energyConversionTechnology, flash steam power plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyConversionTechnology Context triple: [Salton Sea Geothermal Field, energyConversionTechnology, flash steam power plants]
-
A.
energyTechnology
chosen
Indicates a relationship where one entity is a type, instance, or application of an energy-related technology associated with the other entity.
-
B.
fuelProductionTechnology
Indicates the type of technology or method used to produce a particular fuel.
-
C.
usesEnergyConversion
Indicates that an entity performs or involves a process where one form of energy is transformed into another to achieve a function or outcome.
-
D.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
E.
energy
Indicates that an entity possesses, produces, consumes, or is associated with a quantifiable amount or type of energy.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.