Triple
T17823036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Kusatsu-Shirane |
E445036
|
entity |
| Predicate | volcanicGas |
P129334
|
FINISHED |
| Object | sulfur dioxide |
—
|
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: sulfur dioxide | Statement: [Mount Kusatsu-Shirane, volcanicGas, sulfur dioxide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volcanicGas Context triple: [Mount Kusatsu-Shirane, volcanicGas, sulfur dioxide]
-
A.
volcanic
Indicates that an entity is characterized by or associated with volcanic activity, materials, or processes.
-
B.
volcanismType
Indicates the specific kind or style of volcanic activity or processes associated with an entity.
-
C.
volcanoComposition
Indicates that a volcano is composed of, or primarily made up of, a specified material or set of materials.
-
D.
volcanicHazards
Indicates the presence or characterization of dangers and harmful phenomena associated with volcanic activity.
-
E.
isVolcanic
Indicates that something is characterized by or related to volcanic activity, such as originating from, produced by, or associated with a volcano.
- F. None of above. chosen
Provenance (4 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891282a081908d384d45bf444baf |
completed | April 19, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3f022ec448190a9bf191be1c5f570 |
completed | April 18, 2026, 8:57 p.m. |
Created at: April 10, 2026, 10:15 a.m.