Triple
T27964310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palette Spring |
E704673
|
entity |
| Predicate | partOfGeothermalArea |
P188405
|
FINISHED |
| Object | Mammoth Hot Springs geothermal area |
—
|
NE NERFINISHED |
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: Mammoth Hot Springs geothermal area | Statement: [Palette Spring, partOfGeothermalArea, Mammoth Hot Springs geothermal area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfGeothermalArea Context triple: [Palette Spring, partOfGeothermalArea, Mammoth Hot Springs geothermal area]
-
A.
isPartOfVolcanicSystem
Indicates that one entity belongs to, or is a component within, a larger volcanic system or complex.
-
B.
locatedInCalderaOf
Indicates that one entity is situated within the caldera (the large volcanic crater) of another entity.
-
C.
hasGeothermalField
Indicates that an entity possesses, contains, or is associated with a geothermal field.
-
D.
geothermalFeatures
chosen
Indicates that the subject has or is associated with naturally occurring geothermal phenomena, such as hot springs, geysers, or other heat-related geological features.
-
E.
partOfCraterSystem
Indicates that one crater is a component or subdivision of a larger, connected crater system.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: April 27, 2026, 7:34 p.m.