Triple
T3778907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Geysers geothermal field |
E83372
|
entity |
| Predicate | geothermalResourceType |
P34678
|
FINISHED |
| Object | vapor-dominated reservoir |
—
|
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: vapor-dominated reservoir | Statement: [The Geysers geothermal field, geothermalResourceType, vapor-dominated reservoir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geothermalResourceType Context triple: [The Geysers geothermal field, geothermalResourceType, vapor-dominated reservoir]
-
A.
geologicType
Indicates the specific geological classification or category assigned to a rock, soil, or earth material unit.
-
B.
hasGeothermalPotential
Indicates that an entity possesses conditions suitable for generating or exploiting geothermal energy.
-
C.
reservoirType
chosen
Indicates the specific kind or classification of a reservoir associated with an entity.
-
D.
typeOfVolcanicFeature
Indicates that one entity is classified as a specific kind or category of volcanic feature represented by the other entity.
-
E.
hasTypeOfTectonicFeature
Indicates that one entity is characterized by or classified as a specific type of tectonic feature (such as a fault, plate boundary, or rift).
- 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.