Triple
T35599845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Valley geothermal area |
E1028735
|
entity |
| Predicate | hasPowerPlantTechnology |
P199943
|
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: [Imperial Valley geothermal area, hasPowerPlantTechnology, flash steam power plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPowerPlantTechnology Context triple: [Imperial Valley geothermal area, hasPowerPlantTechnology, flash steam power plants]
-
A.
powerPlantDeveloper
Indicates that one entity is responsible for developing, constructing, or otherwise creating a power plant for another entity or location.
-
B.
hasNearbyPowerPlants
Indicates that one entity is located close to one or more power plants.
-
C.
fuelProductionTechnology
Indicates the type of technology or method used to produce a particular fuel.
-
D.
usedPowerplantsFrom
Indicates that an entity has utilized or drawn energy from the specified power plants.
-
E.
plannedPowerplant
Indicates that a power plant is intended or scheduled to be built or developed, but is not yet constructed or operational.
- 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_69f76e0598dc8190a6a093e904b9aa70 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff64b957bc81908afbc5914234a8ea |
completed | May 9, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69ff6446593c81909173e296eea2590c |
completed | May 9, 2026, 4:43 p.m. |
| PDg | Predicate description generation | batch_69ff64b864f481909fcefc2b08595c89 |
completed | May 9, 2026, 4:45 p.m. |
Created at: May 3, 2026, 4:05 p.m.