Triple
T3778940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Geysers geothermal field |
E83372
|
entity |
| Predicate | energyCategory |
P5332
|
FINISHED |
| Object | baseload renewable energy |
—
|
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: baseload renewable energy | Statement: [The Geysers geothermal field, energyCategory, baseload renewable energy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyCategory Context triple: [The Geysers geothermal field, energyCategory, baseload renewable energy]
-
A.
energyType
chosen
Indicates the kind or category of energy associated with an entity or process.
-
B.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
C.
electricityUse
Indicates the amount or pattern of electrical energy consumed by an entity during a specified period or activity.
-
D.
energyRegime
Indicates the specific range or mode of energy conditions under which a process, interaction, or system operates or is characterized.
-
E.
energyThroughputCategory
Indicates the classification of an entity based on the amount or level of energy it processes or transfers over a given period.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc78173081908b230017834cdf9e |
completed | March 8, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69adc050cc5c81909d9855f866f3c26d |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:36 p.m.