Triple
T3945936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maderas Volcano |
E92146
|
entity |
| Predicate | hasEruptionType |
P2063
|
FINISHED |
| Object | phreatic eruptions in the past |
—
|
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: phreatic eruptions in the past | Statement: [Maderas Volcano, hasEruptionType, phreatic eruptions in the past]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEruptionType Context triple: [Maderas Volcano, hasEruptionType, phreatic eruptions in the past]
-
A.
notableEruption
Indicates that a volcano or geothermal feature has experienced an eruption considered historically or scientifically significant.
-
B.
volcanismType
chosen
Indicates the specific kind or style of volcanic activity or processes associated with an entity.
-
C.
eruptionVEI
Indicates the Volcanic Explosivity Index (VEI) assigned to a particular volcanic eruption event.
-
D.
eruptionName
Indicates the specific name assigned to a volcanic eruption event associated with an entity.
-
E.
containsVolcanoType
Indicates that a geographic area or feature includes at least one volcano of the specified type.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee764235081909309b3c982f322a9 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:24 p.m.