Triple
T3778924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Geysers geothermal field |
E83372
|
entity |
| Predicate | isRenewableEnergySource |
P6567
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Geysers geothermal field, isRenewableEnergySource, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRenewableEnergySource Context triple: [The Geysers geothermal field, isRenewableEnergySource, true]
-
A.
hasRenewableEnergy
Indicates that an entity possesses or utilizes energy derived from renewable sources.
-
B.
hasRenewableEnergySystem
Indicates that an entity is equipped with or utilizes a system that generates energy from renewable sources.
-
C.
isRenewable
chosen
Indicates that a resource or energy source can be naturally replenished or regenerated within a human-relevant timescale.
-
D.
renewableEnergyShare
Indicates the proportion of total energy consumption or production that comes from renewable energy sources.
-
E.
energyType
Indicates the kind or category of energy associated with an entity or process.
- 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.