Triple
T13144946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garua Harbour volcanic complex |
E312311
|
entity |
| Predicate | hasGeothermalSystem |
P81464
|
FINISHED |
| Object | hydrothermal system |
—
|
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: hydrothermal system | Statement: [Garua Harbour volcanic complex, hasGeothermalSystem, hydrothermal system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeothermalSystem Context triple: [Garua Harbour volcanic complex, hasGeothermalSystem, hydrothermal system]
-
A.
hasGeothermalField
Indicates that an entity possesses, contains, or is associated with a geothermal field.
-
B.
hasGeothermalPotential
Indicates that an entity possesses conditions suitable for generating or exploiting geothermal energy.
-
C.
isGeothermalFieldType
Indicates that one entity is classified as a specific type or category of geothermal field in relation to another entity.
-
D.
hasGeyser
Indicates that one entity possesses, contains, or features a geyser as part of its characteristics or composition.
-
E.
hasHydrothermalActivity
chosen
Indicates that a location or geological feature exhibits hydrothermal activity, such as the circulation of heated water or fluids associated with geothermal processes.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bbd1d088190b7c69f37fc6eeb64 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:10 p.m.